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Interference And System Capacity




                         AJAL. A. J
             Assistant Professor –Dept of ECE,
Federal Institute of Science And Technology (FISAT) TM
  16/9/2011
  16/02/2012
               MAIL: ec2reach@gmail.com
                           Free Powerpoint Templates
Proofs of Wave Nature
• Thomas Young's Double Slit Experiment (1807)
  bright (constructive) and dark (destructive)
   fringes seen on screen

• Thin Film Interference Patterns

• Poisson/Arago Spot (1820)

• Diffraction fringes seen within and around a
  small obstacle or through a narrow opening
Multi-channel real time environment


DVD Player                        Dual WiFi/cell   PDA
                                  camera phone                 MP3 Player

                     WiFi
                    phone
             HDTV                         AP


                                                           Desktop


                    Multimedia
                     games




                                     Laptop

                                                     Printer
                      Camcorder
                                                                     Camera
Interference Defined

-    Unwanted signals

              either entering your equipment
                              or
    getting into equipment of other parties but generated by
                               you.
Inter-Symbol-Interference (ISI) due to Multi-
               Path Fading
Transmitted signal:


Received Signals:
             Line-of-sight:




                 Reflected:




The symbols add up on the
   channel                    Delays
 Distortion!



                              5
Interference : Flavours



- RFI -      Radio Frequency Interference
- - - Two or more signals competing for the same channel

- EMI - Electromagnetic Interference
- - - Appliances that are overloaded by strong EMI from
      nearby RF sources
Solving RFI Problems

- - - Disconnect components to localize problem area

- - - Check cable connections

- - - Check for grounded polarized plugs

- - - Ferrite cores around power cables

- - - Hipass filter on 300 ohm TV feedline
Solving EMI Problems


- Hard to track down appliance causing interference

- Microprocessors often generate EMI

- Enclose in grounded box

- Ferrite cores on cables
EMI / EMC/ EMS
• EMI is defined as the undesirable signal which causes
unsatisfactory operation of a circuit or device.


• EMC is defined as the ability of electronic and communication
equipment to be able to operate satisfactorily in the presence of
interference and not be a source of interference to nearby
equipment.


• EMS Electromagnetic susceptibility (EMS) is the capability of a
device to respond to EMI.
EM ENVIRONMENT COMPONENTS



                                      MAN-MADE                                    MAN-MADE
NATURAL
                                  NON-COMMUNICATION                             COMMUNICATION


           TERRESTRIAL                                RF                                         RADAR


                         ATMOSPHERIC                          INDUSTRIAL                     BROADCAST


                     PRECIPITATION                             SCIENTIFIC                  POINT-TO-POINT


                           STATIC                               MEDICAL                  POINT-TO-MULTIPOINT


      EXTRA-TERRESTRIAL                                       HOUSEHOLD                          MOBILE


                            SUN                   NON-RF                                                        LAND


                           COSMIC                          VEHICLES, TRACTION                               AERONAUTICAL


                         RADIO STARS                       TOOLS, COMPUTERS                     SATELLITE


          THERMAL NOISE                                       POWER LINES                                   GEOSTATIONARY


                                                                  ESD                                     N-GEOSTATIONARY
Electromagnetic Interference (EMI)


• The effect of unwanted energy due to one or
  a combination of emissions, radiations, or
  inductions upon reception in a
  radiocommunication system, or loss of
  information which could be extracted in the
  absence of such unwanted energy
EMI depends on what?
  Emission                      Immunity
 (Offending     EM Coupling      (Victim
 apparatus)                    apparatus)



Given interference criteria, EMI
  effects depend on
  1. System emissions
  2. System immunity
  3. Degree of coupling
Electromagnetic Interference (EMI)


• EMI: ‘quantification’ of degradation of the
  quality of an observation due to unwanted
  emissions, radiations, or inductions upon
  reception in a radiocommunication system
• Information about EMI is obtained by
  inspection of observations
EMI in Cleanrooms – Example




•   Wafers are charged to the limit
•   Cart is charged by the wafers via capacitive coupling
•   Wheels are insulators – cart cannot discharge
•   EMI propagates throughout the fab causing lockup of wafer handlers
EMI from
    Mobile Phones
•   Frequency range: 800, 900




                                                                     CREDENCE TECHNOLOGIES www.credencetech.com ©2002
    and 1800MHz
•   GSM phones produce
    emission in bursts
•   High emission levels
    (~10V/m)
•   Easily creates disruption in
    sensitive equipment in
    immediate proximity
                                      577µS   Carrier: 900/1800MHz


                                              4.6mS
                                   GSM Phone Transmission Pattern
EMC: what is it?
• Electromagnetic compatibility (EMC): ability of
  an equipment or system to

• (1) function satisfactorily in its EM environment
  (2) without introducing intolerable disturbance to
  anything in that environment

   – Criteria of ‘satisfactory’, and ‘intolerable’ and the
     definition of ‘anything’ and “environment” are all
     situation-dependent
   – Harmful (intolerable) interference - when the risk
     (probability) of interference and extent of its
     consequences exceed the acceptable levels
METHODS TO ELIMINATE EMI OR DESIGN
                           METHODS FOR EMC
The effective methods to eliminate EMI are
1. Shielding
2. Grounding
3. Bonding
4. Filtering
5. Isolation
6. Separation and orientation
7. Circuit impedance level control
8. Cable design
9. Cancellation techniques in frequency or time
domain
10. Proper selection of cables, passive components
11. Antenna polarization control
12. Balancing
Elements of an EMI Situation
– Source "Culprit"
– Coupling method "Path"
– Sensitive device "Victim"

                              VICTIM

  SOURCE
                PATH
System & Environment

                                          For tests we separate the
          SYSTEM & ITS ENVIRONMENT        system from its
                                          environment.




                                     SYSTEM
In emission testing we replace the
environment by test equipment that
evaluate the level of emissions.
                                                ENVIRONMENT
In immunity tests we create a
known EM stress and observe
reactions.
CONDUCTED EMISSIONS
          TESTING
• Measure Noise on Power Line

      Product
                                 Spectrum Analyzer




                         Power
                          Cord

  LISN
RADIATED EMISSIONS TESTING
• Test Site: Measure Radiated                               Spectrum
• Noise from Equipment Case                                 Analyzer


• and Cables          Open Area Test Site

     Product




                               3 m or 10 m
    Turntable




                                             Measuring Antenna
RADIATED EMISSIONS TESTING
• Test Site: Measure Radiated                                           Spectrum
• Noise from Equipment Case                                             Analyzer


• and Cables          Open Area Test Site

    Product




                              3 m or 10 m
   Turntable




                                            Measuring Antenna
                                                  Photos: EMC Test System, Austin, TX emctest.com
RADIATED EMISSIONS TESTING
• Test Site: Measure Radiated                               Spectrum
• Noise from Equipment Case                                 Analyzer


• and Cables          Open Area Test Site

     Product




                               3 m or 10 m
    Turntable




                                             Measuring Antenna
Anechoic Chamber
TEST CONFIGURATION



Chamber Configuration




                                  27
Chamber Configuration




                        28
AMS_02
               Main                              AIR FLOTATION
               door                              PLATFORM




CLEAN ROOM 1          Entry
                      box
                                        Floor
                                        panels




                                 door


                              CLEAN ROOM 2




                                                                 29
Test room
EMC tests




•
EMC tests
EMC tests
Test antennas
Test antennas
Tests from the air
           This photo shows a flying
           laboratory on manned
           helicopter I designed
           and supervised many
           years ago.

           Modern technology allows
           such measurements to be
           made at distance, using
           miniature unmanned
           radio-controlled
           airplanes and helicopters
Near field test
Summary on EMC
• The aim of EMC is
  – to ensure the reliability of all types of
    electronic devices wherever they are used
  – and thus to ensure the reliable and safe
    operation of the systems in which they are
    employed.
• EMC concerns all of us
Interference

  •   Interference management is an central problem
      in wireless system design.
  •   Within same system (eg. adjacent cells in a
      cellular system) or across different systems (eg.
      multiple WiFi networks)



  •   Two basic approaches:
      1. orthogonalize into different bands
      2. full sharing of spectrum but treating
         interference as noise
Interference
• Sources of interference
     –another mobile in the same cell
     –a call in progress in the neighboring cell
     –other base stations operating in the same frequency band
     –noncellular system leaks energy into the cellular frequency
      band
•   Two major cellular interference

     – co-channel interference
     – adjacent channel interference
802.11b Channel Overlap


Rooms in Party (11 rooms)




  • Blue – noise from room 1
  • Red – noise from room 6
  • Yellow – noise from room 11
  • Only 3 quite rooms available; 1, 6, and 11
802.11b Channel Overlap




  Only 3 non-overlapping
  channels: 1, 6, and 11.
Types of Channel Interference

• Adjacent channel interference:
  inversely proportional to the
   distance

• Co-channel interference:
  directly proportional to the co-
 channel interference factor
Gaussian Network Capacity: What We Know



              Tx                             Rx

               point-to-point (Shannon 48)




       Tx 1                                        Rx1


                       Rx            Tx

       Tx 2
                                                   Rx 2
        multiple-access                broadcast
Real time process
What We Don’t Know

   Unfortunately we don’t know the capacity of most
   other Gaussian networks.
            Tx 1                    Rx 1


            Tx 2                    Rx 2
                   Interference


                        Relay



              S                       D
                        relay
Multiuser Opportunistic
Communication




  Multiple users offer new diversity modes, just like time or
  frequency or MIMO channels
Interference scenario : Real Time
It’s the model.

  • Shannon focused on noise in point-to-point
    communication.

  • But many wireless networks are interference rather
    than noise-limited.

  • We propose a deterministic channel model
    emphasizing interaction between users’ signals
    rather than on background noise.

  • Far more analytically tractable and can be used to
    determine approximate Gaussian capacity
Interference

  • So far we have looked at single source, single
    destination networks.

  • All the signals received is useful.

  • With multiple sources and multiple destinations,
    interference is the central phenomenon.

  • Simplest interference network is the two-user
    interference channel.
Main message:



  If something can’t be computed exactly, approximate.

  • Similar evolution has happened in other fields:

     – fluid and heavy-traffic approximation in queueing networks

     – approximation algorithms in CS theory


  • Approximation should be good in engineering-relevant
    regimes.
Interference
 It is a major limiting factor in the performance of cellular radio
systems. (In comparison with wired comm. Systems, the amount
and sources of interferences in Wireless Systems are greater.)
 Creates bottleneck in increasing capacity
 Sources of interference are:
        1. Mobile Stations
        2. Neighboring Cells
        3. The same frequency cells
           4. Non-cellular signals in the same spectrum
 Interference in Voice Channels: Cross-Talk
 Urban areas usually have more interference, because of:
a)Greater RF Noise Floor, b) More Number of Mobiles
MAJOR LIMITING FACTOR for Cellular System
 performance is the INTERFERENCE

Interferences can cause:
   CROSS TALK
   Missed and Blocked Calls.

SOURCES OF INTERFERENCE?
 Another mobile in the same cell (if distance & frequency
  are close)
 A call in progress in neighboring cell (if frequency is
  close).
 Other base stations operating in the same frequency
  band (from co-channel cells)
 Non-cellular systems leaking energy into cellular
  frequency band
Interference




1. CO-CHANNEL INTERFERENCE



2. ADJACENT CHANNEL INTERFERENCE
1.Co-Channel Interference
CO-CHANNEL INTERFERENCE

 Frequency Reuse  Given coverage area cells using the same set of
  frequencies  co-channel cell !!!

 Interference between these cells is called
  CO-CHANNEL INTERFERENCE.

 However, co-channel interference  cannot be overcome just by increasing
   the carrier power of a transmitter.
  Because increase in carrier transmit power increases the
  interference.

 How to Reduce co-channel interference?
  Co-channel cells must be physically separated by a minimum distance to
  provide sufficient isolation.
Co-Channel Interference




 Cell Site-to-Mobile Interference (Downlink)

 Mobile-to Cell-Site Interferences (Uplink)
Co-Channel Interference
 Intracell Interference: interferences from other mobile
  terminals in the same cell.
   – Duplex systems
   – Background white noise

 Intercell interference: interferences from other cells.
   – More evident in the downlink than uplink for reception
   – Can be reduced by using different set of frequencies


 Design considerations:
  – Frequency reuse
  – Interference
  – System capacity
1.Co-Channel Interference
• Cells using the same frequency cause
  interference to each other
• Called co-channel interference (CCI)
• CCI increases as the cluster size N
  decreases
• Important factor for signal quality is the
  Carrier to Interference Ratio C/I
• Most interference comes from the first tier
  of co-channel cells
Co-Channel Interference…
                      1                        1
                                                   R
       Second tier
                                  1 Interfering Cell
                     First tier
                                      D    1
                          1
          1                       1                    1
                         1                 1

                                  1

                     1                         1
Cell Geometry


R
           D        R


R
       D
         = q = 3N
       R
CALCULATION
• Let i0 be the number of co-channel
  interfering cells, then the signal-to-
  interference ratio for a mobile receiver
  which monitors a forward channel is




  – where S is the desired signal power from
    desired BS and Ii is the interference power
    caused by ith interfering co-channel cell
 By increasing the ratio of D/R,
   ► separation between co-channel cells relative to coverage
     distance of a cell is increased.
   ► Thus interference is reduced.
 The parameter Q (co-channel reuse ratio) is related to
  cluster size. Thus for a hexagonal geometry




   A small value of Q provides larger capacity since N is cluster size
   Large value of Q improves transmission quality due to smaller level
        of co-channel interference
   A trade-off must be made between these two objectives
 Let i0 be the number of co-channel interfering
  cells, then the signal-to-interference ratio for a
  mobile receiver which monitors a forward
  channel is




   ► where S is the desired signal power from desired BS
     and Ii is the interference power caused by ith
     interfering co-channel cell
 Average received signal strength at any point decays
  as a power law of the distance of separation between
  transmitter and receiver
 Average received power Pr at a distance d from the
  transmitting antenna is approx




   ► Where Po is the power received at a close-in reference point at
     a small distance do from the transmitting antenna, n is path loss
     exponent ranging between 2 and 4
 Now consider co-channel cell interference
 If Di is the distance of ith interferer from the
  mobile, the received power will be proportional
  to (Di)-n
 When the transmit power of each BS is equal
  and the path loss exponent is same throughout
  coverage then S/I can be approximated as
 Considering only the first layer of interfering
  cells, which are equidistant D from the desired
  BS
 Eqn 4 implies to




  ► It relates S/I to cluster size N, which in turn
    determines the overall capacity of the system
INFERENCE

 For US AMPS system, tests indicate that for
  sufficient voice quality S/I should be greater or
  equal to 18 dB.
 By using Eqn 5, in order to meet this
  requirement, N should be at least 6.49
  assuming n=4.
 Thus a minimum cluster size of 7 is required to
  meet S/I requirement of 18 dB
 It should be noted Eqn 5 is based on
  hexagonal cell geometry
Co-Channel Interference

An S/I of 18 dB is the measured value
 for the accepted voice quality from the
 present day cellular mobile receivers.

Sufficient voice quality is provided when
 S/I is greater than or equal to 18dB.
Example:
     Co-Channel Interference
If S/I = 15 dB   required for satisfactory
   performance   for forward channel
   performance   of a cellular system.

a) What is the Frequency Reuse Factor q
   (assume K=4)?
b) Can we use K=3?

Assume 6 co-channels all of them (same distance
   from the mobile), I.e. N=7
Example:
Co-Channel Interference
a) NI =6 => cluster size N= 7, and when  κ=4
The co-channel reuse ratio is q=D/R=sqrt(3N)=4.583
                  κ
            S q
             =   = 1 ( 4.583) 4 = 75.3
                   6
            I NI

Or 18.66 dB  greater than the minimum required
   level  ACCEPT IT!!!
b) N= 7 and κ=3            κ
                      S q
                       =   = 1 (4.583)3 = 16.04
                             6
                      I NI
Or 12.05 dB  less than the minimum required level
 REJECT IT!!!
Example: Worst Case
       Cochannel Interference (2)
 A cellular system that requires an S/I
  ratio of 18dB. (a) if cluster size is 7,
  what is the worst-case S/I? (b) Is a
  frequency reuse factor of 7 acceptable
  in terms of co-channel interference? If
  not, what would be a better choice of
  frequency reuse ratio?
   Solution
(a) N=7  q =       3 N = 4.6. If a path loss component of κ=4, the worst-
  case signal-to-interference ratio is S/I = 54.3 or 17.3 dB.
(b) The value of S/I is below the acceptable level of 18dB.
 We need to decrease I by increasing N =9. The S/I is 95.66
 or 19.8dB.
   For 7-cell cluster,
    hexagonal cell
    geometry layout
   Mobile is at the
    boundary of the cell
   The worst case S/I ratio can be approximated using Eqn 4




   The above Eqn can be rewritten in terms of co-channel reuse ratio
    Q as




   For N=7, the value of Q is 4.6
   The worst case S/I is approximated as 49.56 (17 dB) using Eqn 7,
    where exact solution using Eqn 4 is 17.8 dB.
Example
   If S/I is required 15 dB for satisfactory forward channel
    performance, what is the frequency reuse factor and cluster size
    that should be used for maximum capacity if path loss exponent n
    = 4 and n = 3? Assuming 6 co-channel cells in first tier at same
    distance from desired BS
    ► n = 4, lets consider 7-cell reuse
       •   Using Eqn. 1, reuse ratio is 4.583
       •   Using 5, S/I = 1/6 x (4.583)^4 = 75.3 = 18.66 dB
       •   Since this is greater than min required, N=7 can be used
    ► n = 3, first consider 7-cell reuse
       •   S/I = 1/6 x (4.583)^3 = 16.04 = 12.05 dB
       •   Since this is less than min required,
       •   Next possible value of N is 12-cell reuse (i = j = 2)
       •   Using Eqn. 1, reuse ratio is 6.0
       •   S/I = 1/6 x (6)^3 = 36 = 15.56 dB
       •   Since this is greater than min required S/I, So N=12 is used
Carrier to Interference Ratio C/I
                         C    C
 C/I is calculated as:     = KI            KI = # of interfering cells
                         I
                             ∑ Ik
                               k =1
The maximum number of K in the first tier is 6 and knowing that
                         −γ           −γ
               C∝R            = αR            Wanted signal

                I ∝ D −γ = αD −γ               Interfering signal

                                                        −γ
The above equation becomes:                C    R
                                             = KI
                                           I
                                               ∑  Dk−γ
                                                 k =1
Rearranging:

               C          1                    1
                 =             −γ
                                    =   KI
               I     KI
                           Dk 
                                        ∑( q )
                                                   −γ
                     ∑ R ÷
                     k =1             k =1
                                               k



            and
                                Dk
                           qk =
                                R
The qk is the co-channel interference reduction factor with kth
co-channel interfering cell.
Co-Channel Interference…
• As N decreases the number of frequency
  channels per cell increases but C/I
  decreases
• C/I is improved by different methods
  – Sectored antennas: reduces KI
  – Beam tilting: Reduces power to co-channel
    cells
  – Channel assignment: minimizes activation of
    co-channel frequencies, which reduces KI
Co-channel interference & system capacity

•  Co-channel cells use the same set of frequencies in a given
   coverage area.
• Co-channel interference cannot be removed by increasing signal
   power.
• They must be physically separated by certain distance to provide
   sufficient isolation for propagation.
• Co-channel re-use factor is given by:
   Q = D/R = √3N
   where R – radius of the cell
   D – distance to the center of the nearest co-channel cells
   N – cluster size
Increasing D/R will give less interference, whereas decreasing Q value
   gives more capacity!
CCI Reduction: Cell Sectoring
• Shown 120 sectored
  antennas
• Channel per cell are
  divided among 3 sectors
• CCI decreased. Sector 0
  gets interference from
  sectors 4, 5 and 6 only
• 60 degrees sectored also
  possible
Co-channel Interference and System Capacity
•   Frequency reuse - there are several cells that use the same set of
    frequencies
     – co-channel cells
     – co-channel interference
•   To reduce co-channel interference, co-channel cell must be
    separated by a minimum distance.
•   When the size of the cell is approximately the same
     – co-channel interference is independent of the transmitted power
     – co-channel interference is a function of
         • R: Radius of the cell
         • D: distance to the center of the nearest co-channel cell
•   Increasing the ratio Q=D/R, the interference is reduced.
•   Q is called the co-channel reuse ratio
•   For a hexagonal geometry
                        D
                   Q=     = 3N
                        R

•   A small value of Q provides large capacity
•   A large value of Q improves the transmission quality - smaller level of
    co-channel interference
•   A tradeoff must be made between these two objectives
• Let i0 be the number of co-channel interfering cells. The signal-to-
  interference ratio (SIR) for a mobile receiver can be expressed as
                          S          S
                            =      i0
                          I
                                   ∑I
                                   i =1
                                          i


  S: the desired signal power
  I i : interference power caused by the ith interfering co-channel cell base
  station
• The average received power at a distance d from the transmitting
  antenna is approximated by
                              −n
                       d                        close-in reference point
               Pr = P0  
                       d 
                        0                              d0
   or
                                     d  P0 :measued power
       Pr (dBm) = P0 (dBm) − 10n log 
                                    d                                      TX

                                     0
   n is the path loss exponent which ranges between 2 and 4.
•   When the transmission power of each base station is equal, SIR for a
     mobile can be approximated as
                          S             R −n
                            =     i0
                          I
                                 ∑ ( Di ) −n
                                 i =1
 •   Consider only the first layer of interfering cells
            S ( D / R)n
              =         =
                             (   3N      )   n

                                                 i0 = 6
            I     i0             i0

• Example: AMPS requires that SIR be
  greater than 18dB
     – N should be at least 6.49 for n=4.
     – Minimum cluster size is 7
• For hexagonal geometry with 7-cell cluster, with the mobile unit being
  at the cell boundary, the signal-to-interference ratio for the worst case
  can be approximated as

    S                                     R −4
      =
    I 2( D − R ) − 4 + ( D − R / 2 ) − 4 + ( D + R / 2 ) − 4 + ( D + R ) − 4 + D − 4
2.Adjacent channel interference
2. ADJACENT CHANNEL INTERFERENCE
Interference resulting from signals which are adjacent
in frequency to the desired signal is called
ADJACENT CHANNEL INTERFERENCE.

WHY?
From imperfect receiver filters (which allow nearby frequencies) to leak
   into the pass-band.


NEAR FAR EFFECT:
 Adjacent channel user is transmitting in very close range to a
  subscriber’s receiver, while the receiver attempts to receive a base
  station on the desired channel.
 Near far effect also occurs, when a mobile close to a base station
  transmits on a channel close to one being used by a weak mobile.
 Base station may have difficulty in discriminating the desired mobile
  user from the “bleedover” caused by the close adjacent channel
  mobile.
ADJACENT CHANNEL INTERFERENCE

How to reduce?
• Careful filtering
• Channel assignment no channel assignment which are all adjacent in
  frequency.
• Keeping frequency separation between each channel in a given cell as
  large as possible.

e.g., in AMPS System there are 395 voice channels which
   are divided into 21 subsets each with 19 channels.

• In each subset, the closest adjacent channel is 21 channels away.
• 7-cell reuse -> each cell uses 3 subsets of channels.
• 3 subsets are assigned such that every channel in the cell is assured
  of being separated from every other channel by at least 7 channel
  spacings.
Adjacent Channel Interference
•   Adjacent channel interference: interference from adjacent in frequency
    to the desired signal.
     – Imperfect receiver filters allow nearby frequencies to leak into the
       passband
     – Performance degrade seriously due to near-far effect.
                                                   receiving filter
                                                      response

                      signal on adjacent channel                                          signal on adjacent channel


                                                                      desired signal




                    FILTER
                                                                                       interference
                                            interference              desired signal
Adjacent Channel Interference
•   Adjacent channel interference: interference from adjacent in frequency
    to the desired signal.
     – Imperfect receiver filters allow nearby frequencies to leak into the
       passband
     – Performance degrade seriously due to near-far effect.
                                                   receiving filter
                                                      response

                      signal on adjacent channel                                          signal on adjacent channel


                                                                      desired signal




                    FILTER
                                                                                       interference
                                            interference              desired signal
Adjacent channel interference can be
              minimized through

1. careful filtering and
2. channel assignment.
•   Keep the frequency separation between
    each channel in a given cell as large as
    possible
•   A channel separation greater than six is needed to bring the adjacent
    channel interference to an acceptable level.
Adjacent channel interference
      Receiver filter


            f1              f2   f3
                 interference




Adjacent-site constraint: channels assigned to
neighboring cells
Adjacent channel interference

 Interference resulting from signals which are
  adjacent in frequency
 It results from imperfect receiver filters which
  allow nearby frequencies to leak into passband
 It is more serious if the transmitter is more
  close to the user’s receiver listening to desired
  channel
 This is near-far effect
  ► A nearby transmitter captures the receiver of
    subscriber.
  ► Or mobile close to BS transmits on adjacent channel
    to one being used by a weak mobile
 Adjacent channel interference can be minimized by
  careful filtering and channel assignment
 A cell need not be assigned channels adjacent in
  frequency
 By keeping frequency separation in a given cell
  between channels as large as possible, interference
  can considerably minimized
 By sequentially assigning successive channels to
  different cells, channel allocation schemes are able to
  separate channels in a cell as many as N
 Some assigning strategies also avoid use of adjacent
  channels in neighboring cell sites.
 If reuse factor (1/N) is large i.e. N is small, the
  separation may not be sufficient to keep intf within
  tolerable limits.
 For example if a close-in mobile is 20 times as close to
  BS as another mobile and energy has leaked to
  passband, S/I at BS for weak mobile is approx
       S/I = (20)-n
 For n-4, this is -52 dB
 If filter of BS receiver has a slope of 20 dB/octave then
  intf must be displaced 6 times the passband bandwidth
  from the center to achieve 52 dB attenuation
 This implies more than 6 channels separation are
  needed for an acceptable S/ level
                                  I
(2) Adjacent Channel Interference
 Interference from channels that are adjacent in frequency,
 The primary reason for that is Imperfect Receiver Filters
  which cause the adjacent channel energy to leak into
  your spectrum.
 Problem is severer if the user of adjacent channel is in
  close proximity.  Near-Far Effect

 Near-Far Effect: The other transmitter(who may or
   may not be of the same type) captures the receiver of the
   subscriber.
 Also, when a Mobile Station close to the Base Station
  transmits on a channel close to the one being used by a
  weaker mobile: The BS faces difficulty in discriminating
  the desired mobile user from the “bleed over” of the
  adjacent channel mobile.
Near-Far Effect: Case 1


          Uninte
          nded
           Tx
                   Strong “bleed
                       over”                    BS as Tx


       Mobile User            Weaker signal
           Rx

The Mobile receiver is captured by the unintended, unknown
transmitter, instead of the desired base station
Near-Far Effect: Case 2

                                                BS as Rx

                     Weaker signal
                                                  Strong “bleed
                                                      over”
   Desired Mobile
         Tx                                      Adjacent
                                                 Channel
                                                 Mobile Tx
The Base Station faces difficulty in recognizing the actual
mobile user, when the adjacent channel bleed over is too
high.
Minimization of ACI
(1) Careful Filtering ---- min. leakage or sharp transition
(2) Better Channel Assignment Strategy

 Channels in a cell need not be adjacent: For channels
  within a cell, Keep frequency separation as large as
  possible.
 Sequentially assigning cells the successive frequency
  channels.
 Also, secondary level of interference can be reduced
  by not assigning adjacent channels to neighboring
  cells.
 For tolerable ACI, we either need to increase the
  frequency separation or reduce the pass band BW.
Power Control in Mobile Com
What is power control ?
   Both the BS and MS transmitter powers are adjusted
    dynamically over a wide range.
   Typical cellular systems adjust their transmitter powers
    based on received signal strength.

TYPES OF POWER CONTROL
o Open Loop Power Control

   It depends solely on mobile unit, not as accurate as
   closed loop, but can react quicker to fluctuation in signal
   strength. In this there is no feed back from BS.
o Closed Loop Power Control

In this BS makes power adjustment decisions and
communicates to mobile on control channels
Why power control ?
  Near-far effect
  Mechanism to compensate for “channel

   fading”
  Interference reduction,

  prolong battery life
Power Control for Reducing Interference
•   Ensure each mobile transmits the smallest power necessary to maintain
    a good quality link on the reverse channel

     – long battery life
     – increase SIR
     – solve the near-far problem
Thanks
“You can't predict the future, but you can invent it.”
Spectral Bands and Channels
 • Wireless communication uses emag signals over a range
   of frequencies
 • FCC has split the spectrum into spectral bands
 • Each spectral band is split into channels




                 Example of a channel
Typical usage of spectral band
 • Transmitter-receiver pairs use independent channels
   that don’t overlap to avoid interference.



          Channel A   Channel B   Channel C   Channel D




             Fixed Block of Radio Frequency Spectrum
Ideal usage of channel bandwidth
 • Should use entire range of freqs spanning a channel
 • Usage drops down to 0 just outside channel boundary




              Channel A   Channel B   Channel C   Channel D
      Power




                              Frequency
Realistic usage of channel bandwidth
 • Realistically, transmitter power output is NOT uniform
   at all frequencies of the channel.
              Channel A   Channel B   Channel C   Channel D
      Power




                              Real Usage
                                                   Wastage of spectrum

 • PROBLEM:
    – Transmitted power of some freqs. < max. permissible limit
    – Results in lower channel capacity and inefficient usage of the
      spectrum
Consideration of the 802.11b standard
 • Splits 2.4 GHz band into 11 channels of 22 MHz each
    – Channels 1, 6 and 11 don’t overlap


 • Can have 2 types of channel interferences:
    – Co-channel interference
       • Address by RTS/CTS handshakes etc.
    – Adjacent channel interference over partially overlapping channels
       • Cannot be handled by contention resolution techniques



  Wireless networks in the past have used only non-
  overlapping channels
Focus
 • To examine approaches to use partially overlapped
   channels efficiently to improve spectral utilization



                       Channel A   Channel B




                           Channel A’
Empirical proof of benefits of partial overlap



        Link A Ch 1                Ch 1   Ch 3   Ch 6


        Link B Ch 3

        Link C Ch 6



                               Amount of Interference

• Can we use channels 1, 3 and 6 without interference ?
Empirical proof of benefits of partial overlap



         Link A Ch 1                 Ch 1   Ch 3   Ch 6


         Link B Ch 3

         Link C Ch 6


                                 Virtually non-overlapping

• Typically partially overlapped channels are avoided
• With sufficient spatial separation, they can be used
Interference And System Capacity

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Interference And System Capacity

  • 1. Interference And System Capacity AJAL. A. J Assistant Professor –Dept of ECE, Federal Institute of Science And Technology (FISAT) TM 16/9/2011 16/02/2012 MAIL: ec2reach@gmail.com Free Powerpoint Templates
  • 2. Proofs of Wave Nature • Thomas Young's Double Slit Experiment (1807) bright (constructive) and dark (destructive) fringes seen on screen • Thin Film Interference Patterns • Poisson/Arago Spot (1820) • Diffraction fringes seen within and around a small obstacle or through a narrow opening
  • 3. Multi-channel real time environment DVD Player Dual WiFi/cell PDA camera phone MP3 Player WiFi phone HDTV AP Desktop Multimedia games Laptop Printer Camcorder Camera
  • 4. Interference Defined - Unwanted signals either entering your equipment or getting into equipment of other parties but generated by you.
  • 5. Inter-Symbol-Interference (ISI) due to Multi- Path Fading Transmitted signal: Received Signals: Line-of-sight: Reflected: The symbols add up on the channel Delays  Distortion! 5
  • 6. Interference : Flavours - RFI - Radio Frequency Interference - - - Two or more signals competing for the same channel - EMI - Electromagnetic Interference - - - Appliances that are overloaded by strong EMI from nearby RF sources
  • 7. Solving RFI Problems - - - Disconnect components to localize problem area - - - Check cable connections - - - Check for grounded polarized plugs - - - Ferrite cores around power cables - - - Hipass filter on 300 ohm TV feedline
  • 8. Solving EMI Problems - Hard to track down appliance causing interference - Microprocessors often generate EMI - Enclose in grounded box - Ferrite cores on cables
  • 9.
  • 10. EMI / EMC/ EMS • EMI is defined as the undesirable signal which causes unsatisfactory operation of a circuit or device. • EMC is defined as the ability of electronic and communication equipment to be able to operate satisfactorily in the presence of interference and not be a source of interference to nearby equipment. • EMS Electromagnetic susceptibility (EMS) is the capability of a device to respond to EMI.
  • 11. EM ENVIRONMENT COMPONENTS MAN-MADE MAN-MADE NATURAL NON-COMMUNICATION COMMUNICATION TERRESTRIAL RF RADAR ATMOSPHERIC INDUSTRIAL BROADCAST PRECIPITATION SCIENTIFIC POINT-TO-POINT STATIC MEDICAL POINT-TO-MULTIPOINT EXTRA-TERRESTRIAL HOUSEHOLD MOBILE SUN NON-RF LAND COSMIC VEHICLES, TRACTION AERONAUTICAL RADIO STARS TOOLS, COMPUTERS SATELLITE THERMAL NOISE POWER LINES GEOSTATIONARY ESD N-GEOSTATIONARY
  • 12. Electromagnetic Interference (EMI) • The effect of unwanted energy due to one or a combination of emissions, radiations, or inductions upon reception in a radiocommunication system, or loss of information which could be extracted in the absence of such unwanted energy
  • 13. EMI depends on what? Emission Immunity (Offending EM Coupling (Victim apparatus) apparatus) Given interference criteria, EMI effects depend on 1. System emissions 2. System immunity 3. Degree of coupling
  • 14. Electromagnetic Interference (EMI) • EMI: ‘quantification’ of degradation of the quality of an observation due to unwanted emissions, radiations, or inductions upon reception in a radiocommunication system • Information about EMI is obtained by inspection of observations
  • 15. EMI in Cleanrooms – Example • Wafers are charged to the limit • Cart is charged by the wafers via capacitive coupling • Wheels are insulators – cart cannot discharge • EMI propagates throughout the fab causing lockup of wafer handlers
  • 16. EMI from Mobile Phones • Frequency range: 800, 900 CREDENCE TECHNOLOGIES www.credencetech.com ©2002 and 1800MHz • GSM phones produce emission in bursts • High emission levels (~10V/m) • Easily creates disruption in sensitive equipment in immediate proximity 577µS Carrier: 900/1800MHz 4.6mS GSM Phone Transmission Pattern
  • 17. EMC: what is it? • Electromagnetic compatibility (EMC): ability of an equipment or system to • (1) function satisfactorily in its EM environment (2) without introducing intolerable disturbance to anything in that environment – Criteria of ‘satisfactory’, and ‘intolerable’ and the definition of ‘anything’ and “environment” are all situation-dependent – Harmful (intolerable) interference - when the risk (probability) of interference and extent of its consequences exceed the acceptable levels
  • 18. METHODS TO ELIMINATE EMI OR DESIGN METHODS FOR EMC The effective methods to eliminate EMI are 1. Shielding 2. Grounding 3. Bonding 4. Filtering 5. Isolation 6. Separation and orientation 7. Circuit impedance level control 8. Cable design 9. Cancellation techniques in frequency or time domain 10. Proper selection of cables, passive components 11. Antenna polarization control 12. Balancing
  • 19. Elements of an EMI Situation – Source "Culprit" – Coupling method "Path" – Sensitive device "Victim" VICTIM SOURCE PATH
  • 20. System & Environment For tests we separate the SYSTEM & ITS ENVIRONMENT system from its environment. SYSTEM In emission testing we replace the environment by test equipment that evaluate the level of emissions. ENVIRONMENT In immunity tests we create a known EM stress and observe reactions.
  • 21. CONDUCTED EMISSIONS TESTING • Measure Noise on Power Line Product Spectrum Analyzer Power Cord LISN
  • 22. RADIATED EMISSIONS TESTING • Test Site: Measure Radiated Spectrum • Noise from Equipment Case Analyzer • and Cables Open Area Test Site Product 3 m or 10 m Turntable Measuring Antenna
  • 23. RADIATED EMISSIONS TESTING • Test Site: Measure Radiated Spectrum • Noise from Equipment Case Analyzer • and Cables Open Area Test Site Product 3 m or 10 m Turntable Measuring Antenna Photos: EMC Test System, Austin, TX emctest.com
  • 24. RADIATED EMISSIONS TESTING • Test Site: Measure Radiated Spectrum • Noise from Equipment Case Analyzer • and Cables Open Area Test Site Product 3 m or 10 m Turntable Measuring Antenna
  • 25.
  • 29. AMS_02 Main AIR FLOTATION door PLATFORM CLEAN ROOM 1 Entry box Floor panels door CLEAN ROOM 2 29
  • 30.
  • 37. Tests from the air This photo shows a flying laboratory on manned helicopter I designed and supervised many years ago. Modern technology allows such measurements to be made at distance, using miniature unmanned radio-controlled airplanes and helicopters
  • 39. Summary on EMC • The aim of EMC is – to ensure the reliability of all types of electronic devices wherever they are used – and thus to ensure the reliable and safe operation of the systems in which they are employed. • EMC concerns all of us
  • 40.
  • 41. Interference • Interference management is an central problem in wireless system design. • Within same system (eg. adjacent cells in a cellular system) or across different systems (eg. multiple WiFi networks) • Two basic approaches: 1. orthogonalize into different bands 2. full sharing of spectrum but treating interference as noise
  • 42. Interference • Sources of interference –another mobile in the same cell –a call in progress in the neighboring cell –other base stations operating in the same frequency band –noncellular system leaks energy into the cellular frequency band • Two major cellular interference – co-channel interference – adjacent channel interference
  • 43. 802.11b Channel Overlap Rooms in Party (11 rooms) • Blue – noise from room 1 • Red – noise from room 6 • Yellow – noise from room 11 • Only 3 quite rooms available; 1, 6, and 11
  • 44. 802.11b Channel Overlap Only 3 non-overlapping channels: 1, 6, and 11.
  • 45. Types of Channel Interference • Adjacent channel interference: inversely proportional to the distance • Co-channel interference: directly proportional to the co- channel interference factor
  • 46. Gaussian Network Capacity: What We Know Tx Rx point-to-point (Shannon 48) Tx 1 Rx1 Rx Tx Tx 2 Rx 2 multiple-access broadcast
  • 48. What We Don’t Know Unfortunately we don’t know the capacity of most other Gaussian networks. Tx 1 Rx 1 Tx 2 Rx 2 Interference Relay S D relay
  • 49. Multiuser Opportunistic Communication Multiple users offer new diversity modes, just like time or frequency or MIMO channels
  • 51. It’s the model. • Shannon focused on noise in point-to-point communication. • But many wireless networks are interference rather than noise-limited. • We propose a deterministic channel model emphasizing interaction between users’ signals rather than on background noise. • Far more analytically tractable and can be used to determine approximate Gaussian capacity
  • 52. Interference • So far we have looked at single source, single destination networks. • All the signals received is useful. • With multiple sources and multiple destinations, interference is the central phenomenon. • Simplest interference network is the two-user interference channel.
  • 53. Main message: If something can’t be computed exactly, approximate. • Similar evolution has happened in other fields: – fluid and heavy-traffic approximation in queueing networks – approximation algorithms in CS theory • Approximation should be good in engineering-relevant regimes.
  • 54. Interference  It is a major limiting factor in the performance of cellular radio systems. (In comparison with wired comm. Systems, the amount and sources of interferences in Wireless Systems are greater.)  Creates bottleneck in increasing capacity  Sources of interference are: 1. Mobile Stations 2. Neighboring Cells 3. The same frequency cells 4. Non-cellular signals in the same spectrum  Interference in Voice Channels: Cross-Talk  Urban areas usually have more interference, because of: a)Greater RF Noise Floor, b) More Number of Mobiles
  • 55. MAJOR LIMITING FACTOR for Cellular System performance is the INTERFERENCE Interferences can cause:  CROSS TALK  Missed and Blocked Calls. SOURCES OF INTERFERENCE?  Another mobile in the same cell (if distance & frequency are close)  A call in progress in neighboring cell (if frequency is close).  Other base stations operating in the same frequency band (from co-channel cells)  Non-cellular systems leaking energy into cellular frequency band
  • 56. Interference 1. CO-CHANNEL INTERFERENCE 2. ADJACENT CHANNEL INTERFERENCE
  • 58. CO-CHANNEL INTERFERENCE  Frequency Reuse  Given coverage area cells using the same set of frequencies  co-channel cell !!!  Interference between these cells is called CO-CHANNEL INTERFERENCE.  However, co-channel interference  cannot be overcome just by increasing the carrier power of a transmitter. Because increase in carrier transmit power increases the interference.  How to Reduce co-channel interference? Co-channel cells must be physically separated by a minimum distance to provide sufficient isolation.
  • 59. Co-Channel Interference Cell Site-to-Mobile Interference (Downlink) Mobile-to Cell-Site Interferences (Uplink)
  • 60. Co-Channel Interference  Intracell Interference: interferences from other mobile terminals in the same cell. – Duplex systems – Background white noise  Intercell interference: interferences from other cells. – More evident in the downlink than uplink for reception – Can be reduced by using different set of frequencies  Design considerations: – Frequency reuse – Interference – System capacity
  • 61. 1.Co-Channel Interference • Cells using the same frequency cause interference to each other • Called co-channel interference (CCI) • CCI increases as the cluster size N decreases • Important factor for signal quality is the Carrier to Interference Ratio C/I • Most interference comes from the first tier of co-channel cells
  • 62. Co-Channel Interference… 1 1 R Second tier 1 Interfering Cell First tier D 1 1 1 1 1 1 1 1 1 1
  • 63. Cell Geometry R D R R D = q = 3N R
  • 64. CALCULATION • Let i0 be the number of co-channel interfering cells, then the signal-to- interference ratio for a mobile receiver which monitors a forward channel is – where S is the desired signal power from desired BS and Ii is the interference power caused by ith interfering co-channel cell
  • 65.  By increasing the ratio of D/R, ► separation between co-channel cells relative to coverage distance of a cell is increased. ► Thus interference is reduced.  The parameter Q (co-channel reuse ratio) is related to cluster size. Thus for a hexagonal geometry A small value of Q provides larger capacity since N is cluster size Large value of Q improves transmission quality due to smaller level of co-channel interference A trade-off must be made between these two objectives
  • 66.  Let i0 be the number of co-channel interfering cells, then the signal-to-interference ratio for a mobile receiver which monitors a forward channel is ► where S is the desired signal power from desired BS and Ii is the interference power caused by ith interfering co-channel cell
  • 67.  Average received signal strength at any point decays as a power law of the distance of separation between transmitter and receiver  Average received power Pr at a distance d from the transmitting antenna is approx ► Where Po is the power received at a close-in reference point at a small distance do from the transmitting antenna, n is path loss exponent ranging between 2 and 4
  • 68.  Now consider co-channel cell interference  If Di is the distance of ith interferer from the mobile, the received power will be proportional to (Di)-n  When the transmit power of each BS is equal and the path loss exponent is same throughout coverage then S/I can be approximated as
  • 69.  Considering only the first layer of interfering cells, which are equidistant D from the desired BS  Eqn 4 implies to ► It relates S/I to cluster size N, which in turn determines the overall capacity of the system
  • 70. INFERENCE  For US AMPS system, tests indicate that for sufficient voice quality S/I should be greater or equal to 18 dB.  By using Eqn 5, in order to meet this requirement, N should be at least 6.49 assuming n=4.  Thus a minimum cluster size of 7 is required to meet S/I requirement of 18 dB  It should be noted Eqn 5 is based on hexagonal cell geometry
  • 71. Co-Channel Interference An S/I of 18 dB is the measured value for the accepted voice quality from the present day cellular mobile receivers. Sufficient voice quality is provided when S/I is greater than or equal to 18dB.
  • 72. Example: Co-Channel Interference If S/I = 15 dB required for satisfactory performance for forward channel performance of a cellular system. a) What is the Frequency Reuse Factor q (assume K=4)? b) Can we use K=3? Assume 6 co-channels all of them (same distance from the mobile), I.e. N=7
  • 73. Example: Co-Channel Interference a) NI =6 => cluster size N= 7, and when κ=4 The co-channel reuse ratio is q=D/R=sqrt(3N)=4.583 κ S q = = 1 ( 4.583) 4 = 75.3 6 I NI Or 18.66 dB  greater than the minimum required level  ACCEPT IT!!! b) N= 7 and κ=3 κ S q = = 1 (4.583)3 = 16.04 6 I NI Or 12.05 dB  less than the minimum required level  REJECT IT!!!
  • 74. Example: Worst Case Cochannel Interference (2)  A cellular system that requires an S/I ratio of 18dB. (a) if cluster size is 7, what is the worst-case S/I? (b) Is a frequency reuse factor of 7 acceptable in terms of co-channel interference? If not, what would be a better choice of frequency reuse ratio?  Solution (a) N=7  q = 3 N = 4.6. If a path loss component of κ=4, the worst- case signal-to-interference ratio is S/I = 54.3 or 17.3 dB. (b) The value of S/I is below the acceptable level of 18dB. We need to decrease I by increasing N =9. The S/I is 95.66 or 19.8dB.
  • 75. For 7-cell cluster, hexagonal cell geometry layout  Mobile is at the boundary of the cell
  • 76. The worst case S/I ratio can be approximated using Eqn 4  The above Eqn can be rewritten in terms of co-channel reuse ratio Q as  For N=7, the value of Q is 4.6  The worst case S/I is approximated as 49.56 (17 dB) using Eqn 7, where exact solution using Eqn 4 is 17.8 dB.
  • 77. Example  If S/I is required 15 dB for satisfactory forward channel performance, what is the frequency reuse factor and cluster size that should be used for maximum capacity if path loss exponent n = 4 and n = 3? Assuming 6 co-channel cells in first tier at same distance from desired BS ► n = 4, lets consider 7-cell reuse • Using Eqn. 1, reuse ratio is 4.583 • Using 5, S/I = 1/6 x (4.583)^4 = 75.3 = 18.66 dB • Since this is greater than min required, N=7 can be used ► n = 3, first consider 7-cell reuse • S/I = 1/6 x (4.583)^3 = 16.04 = 12.05 dB • Since this is less than min required, • Next possible value of N is 12-cell reuse (i = j = 2) • Using Eqn. 1, reuse ratio is 6.0 • S/I = 1/6 x (6)^3 = 36 = 15.56 dB • Since this is greater than min required S/I, So N=12 is used
  • 78. Carrier to Interference Ratio C/I C C C/I is calculated as: = KI KI = # of interfering cells I ∑ Ik k =1 The maximum number of K in the first tier is 6 and knowing that −γ −γ C∝R = αR Wanted signal I ∝ D −γ = αD −γ Interfering signal −γ The above equation becomes: C R = KI I ∑ Dk−γ k =1
  • 79. Rearranging: C 1 1 = −γ = KI I KI  Dk  ∑( q ) −γ ∑ R ÷ k =1   k =1 k and Dk qk = R The qk is the co-channel interference reduction factor with kth co-channel interfering cell.
  • 80. Co-Channel Interference… • As N decreases the number of frequency channels per cell increases but C/I decreases • C/I is improved by different methods – Sectored antennas: reduces KI – Beam tilting: Reduces power to co-channel cells – Channel assignment: minimizes activation of co-channel frequencies, which reduces KI
  • 81. Co-channel interference & system capacity • Co-channel cells use the same set of frequencies in a given coverage area. • Co-channel interference cannot be removed by increasing signal power. • They must be physically separated by certain distance to provide sufficient isolation for propagation. • Co-channel re-use factor is given by: Q = D/R = √3N where R – radius of the cell D – distance to the center of the nearest co-channel cells N – cluster size Increasing D/R will give less interference, whereas decreasing Q value gives more capacity!
  • 82. CCI Reduction: Cell Sectoring • Shown 120 sectored antennas • Channel per cell are divided among 3 sectors • CCI decreased. Sector 0 gets interference from sectors 4, 5 and 6 only • 60 degrees sectored also possible
  • 83. Co-channel Interference and System Capacity • Frequency reuse - there are several cells that use the same set of frequencies – co-channel cells – co-channel interference • To reduce co-channel interference, co-channel cell must be separated by a minimum distance. • When the size of the cell is approximately the same – co-channel interference is independent of the transmitted power – co-channel interference is a function of • R: Radius of the cell • D: distance to the center of the nearest co-channel cell • Increasing the ratio Q=D/R, the interference is reduced. • Q is called the co-channel reuse ratio
  • 84. For a hexagonal geometry D Q= = 3N R • A small value of Q provides large capacity • A large value of Q improves the transmission quality - smaller level of co-channel interference • A tradeoff must be made between these two objectives
  • 85. • Let i0 be the number of co-channel interfering cells. The signal-to- interference ratio (SIR) for a mobile receiver can be expressed as S S = i0 I ∑I i =1 i S: the desired signal power I i : interference power caused by the ith interfering co-channel cell base station • The average received power at a distance d from the transmitting antenna is approximated by −n d  close-in reference point Pr = P0   d   0 d0 or  d  P0 :measued power Pr (dBm) = P0 (dBm) − 10n log  d  TX  0 n is the path loss exponent which ranges between 2 and 4.
  • 86. When the transmission power of each base station is equal, SIR for a mobile can be approximated as S R −n = i0 I ∑ ( Di ) −n i =1 • Consider only the first layer of interfering cells S ( D / R)n = = ( 3N ) n i0 = 6 I i0 i0 • Example: AMPS requires that SIR be greater than 18dB – N should be at least 6.49 for n=4. – Minimum cluster size is 7
  • 87. • For hexagonal geometry with 7-cell cluster, with the mobile unit being at the cell boundary, the signal-to-interference ratio for the worst case can be approximated as S R −4 = I 2( D − R ) − 4 + ( D − R / 2 ) − 4 + ( D + R / 2 ) − 4 + ( D + R ) − 4 + D − 4
  • 89. 2. ADJACENT CHANNEL INTERFERENCE Interference resulting from signals which are adjacent in frequency to the desired signal is called ADJACENT CHANNEL INTERFERENCE. WHY? From imperfect receiver filters (which allow nearby frequencies) to leak into the pass-band. NEAR FAR EFFECT:  Adjacent channel user is transmitting in very close range to a subscriber’s receiver, while the receiver attempts to receive a base station on the desired channel.  Near far effect also occurs, when a mobile close to a base station transmits on a channel close to one being used by a weak mobile.  Base station may have difficulty in discriminating the desired mobile user from the “bleedover” caused by the close adjacent channel mobile.
  • 90. ADJACENT CHANNEL INTERFERENCE How to reduce? • Careful filtering • Channel assignment no channel assignment which are all adjacent in frequency. • Keeping frequency separation between each channel in a given cell as large as possible. e.g., in AMPS System there are 395 voice channels which are divided into 21 subsets each with 19 channels. • In each subset, the closest adjacent channel is 21 channels away. • 7-cell reuse -> each cell uses 3 subsets of channels. • 3 subsets are assigned such that every channel in the cell is assured of being separated from every other channel by at least 7 channel spacings.
  • 91. Adjacent Channel Interference • Adjacent channel interference: interference from adjacent in frequency to the desired signal. – Imperfect receiver filters allow nearby frequencies to leak into the passband – Performance degrade seriously due to near-far effect. receiving filter response signal on adjacent channel signal on adjacent channel desired signal FILTER interference interference desired signal
  • 92. Adjacent Channel Interference • Adjacent channel interference: interference from adjacent in frequency to the desired signal. – Imperfect receiver filters allow nearby frequencies to leak into the passband – Performance degrade seriously due to near-far effect. receiving filter response signal on adjacent channel signal on adjacent channel desired signal FILTER interference interference desired signal
  • 93. Adjacent channel interference can be minimized through 1. careful filtering and 2. channel assignment. • Keep the frequency separation between each channel in a given cell as large as possible • A channel separation greater than six is needed to bring the adjacent channel interference to an acceptable level.
  • 94. Adjacent channel interference Receiver filter f1 f2 f3 interference Adjacent-site constraint: channels assigned to neighboring cells
  • 95. Adjacent channel interference  Interference resulting from signals which are adjacent in frequency  It results from imperfect receiver filters which allow nearby frequencies to leak into passband  It is more serious if the transmitter is more close to the user’s receiver listening to desired channel  This is near-far effect ► A nearby transmitter captures the receiver of subscriber. ► Or mobile close to BS transmits on adjacent channel to one being used by a weak mobile
  • 96.  Adjacent channel interference can be minimized by careful filtering and channel assignment  A cell need not be assigned channels adjacent in frequency  By keeping frequency separation in a given cell between channels as large as possible, interference can considerably minimized  By sequentially assigning successive channels to different cells, channel allocation schemes are able to separate channels in a cell as many as N  Some assigning strategies also avoid use of adjacent channels in neighboring cell sites.
  • 97.  If reuse factor (1/N) is large i.e. N is small, the separation may not be sufficient to keep intf within tolerable limits.  For example if a close-in mobile is 20 times as close to BS as another mobile and energy has leaked to passband, S/I at BS for weak mobile is approx S/I = (20)-n  For n-4, this is -52 dB  If filter of BS receiver has a slope of 20 dB/octave then intf must be displaced 6 times the passband bandwidth from the center to achieve 52 dB attenuation  This implies more than 6 channels separation are needed for an acceptable S/ level I
  • 98. (2) Adjacent Channel Interference  Interference from channels that are adjacent in frequency,  The primary reason for that is Imperfect Receiver Filters which cause the adjacent channel energy to leak into your spectrum.  Problem is severer if the user of adjacent channel is in close proximity.  Near-Far Effect  Near-Far Effect: The other transmitter(who may or may not be of the same type) captures the receiver of the subscriber.  Also, when a Mobile Station close to the Base Station transmits on a channel close to the one being used by a weaker mobile: The BS faces difficulty in discriminating the desired mobile user from the “bleed over” of the adjacent channel mobile.
  • 99. Near-Far Effect: Case 1 Uninte nded Tx Strong “bleed over” BS as Tx Mobile User Weaker signal Rx The Mobile receiver is captured by the unintended, unknown transmitter, instead of the desired base station
  • 100. Near-Far Effect: Case 2 BS as Rx Weaker signal Strong “bleed over” Desired Mobile Tx Adjacent Channel Mobile Tx The Base Station faces difficulty in recognizing the actual mobile user, when the adjacent channel bleed over is too high.
  • 101. Minimization of ACI (1) Careful Filtering ---- min. leakage or sharp transition (2) Better Channel Assignment Strategy  Channels in a cell need not be adjacent: For channels within a cell, Keep frequency separation as large as possible.  Sequentially assigning cells the successive frequency channels.  Also, secondary level of interference can be reduced by not assigning adjacent channels to neighboring cells.  For tolerable ACI, we either need to increase the frequency separation or reduce the pass band BW.
  • 102. Power Control in Mobile Com
  • 103. What is power control ?  Both the BS and MS transmitter powers are adjusted dynamically over a wide range.  Typical cellular systems adjust their transmitter powers based on received signal strength. TYPES OF POWER CONTROL o Open Loop Power Control It depends solely on mobile unit, not as accurate as closed loop, but can react quicker to fluctuation in signal strength. In this there is no feed back from BS. o Closed Loop Power Control In this BS makes power adjustment decisions and communicates to mobile on control channels
  • 104. Why power control ?  Near-far effect  Mechanism to compensate for “channel fading”  Interference reduction,  prolong battery life
  • 105. Power Control for Reducing Interference • Ensure each mobile transmits the smallest power necessary to maintain a good quality link on the reverse channel – long battery life – increase SIR – solve the near-far problem
  • 106. Thanks “You can't predict the future, but you can invent it.”
  • 107. Spectral Bands and Channels • Wireless communication uses emag signals over a range of frequencies • FCC has split the spectrum into spectral bands • Each spectral band is split into channels Example of a channel
  • 108. Typical usage of spectral band • Transmitter-receiver pairs use independent channels that don’t overlap to avoid interference. Channel A Channel B Channel C Channel D Fixed Block of Radio Frequency Spectrum
  • 109. Ideal usage of channel bandwidth • Should use entire range of freqs spanning a channel • Usage drops down to 0 just outside channel boundary Channel A Channel B Channel C Channel D Power Frequency
  • 110. Realistic usage of channel bandwidth • Realistically, transmitter power output is NOT uniform at all frequencies of the channel. Channel A Channel B Channel C Channel D Power Real Usage Wastage of spectrum • PROBLEM: – Transmitted power of some freqs. < max. permissible limit – Results in lower channel capacity and inefficient usage of the spectrum
  • 111. Consideration of the 802.11b standard • Splits 2.4 GHz band into 11 channels of 22 MHz each – Channels 1, 6 and 11 don’t overlap • Can have 2 types of channel interferences: – Co-channel interference • Address by RTS/CTS handshakes etc. – Adjacent channel interference over partially overlapping channels • Cannot be handled by contention resolution techniques  Wireless networks in the past have used only non- overlapping channels
  • 112. Focus • To examine approaches to use partially overlapped channels efficiently to improve spectral utilization Channel A Channel B Channel A’
  • 113. Empirical proof of benefits of partial overlap Link A Ch 1 Ch 1 Ch 3 Ch 6 Link B Ch 3 Link C Ch 6 Amount of Interference • Can we use channels 1, 3 and 6 without interference ?
  • 114. Empirical proof of benefits of partial overlap Link A Ch 1 Ch 1 Ch 3 Ch 6 Link B Ch 3 Link C Ch 6 Virtually non-overlapping • Typically partially overlapped channels are avoided • With sufficient spatial separation, they can be used

Editor's Notes

  1. 17/10/201115/9/2011 15/9/2011
  2. This is a channel overlap for 802.11b
  3. This is a channel overlap for 802.11b
  4. Channel = set of frequencies that can carry signal power
  5. Adjacent channel interference contributes to background noise and cannot be handled in an explicit manner by channel contention techniques.