Big Data Meetup: Data Science & Big Data in Telecom
•
8 likes•1,205 views
The document discusses how big data and data science are used in telecom. It describes using machine learning algorithms like supervised, unsupervised, and reinforcement learning for tasks like predicting cell coverage, calibrating path loss models, radio network planning and optimization, and dynamic traffic load balancing. It also discusses how data is used for customer experience management, network operations like fault detection and self-healing, and enabling self-organizing networks through algorithms like reinforcement Q-learning.
Recommended
Recommended
More Related Content
What's hot
What's hot (20)
Viewers also liked
Viewers also liked (20)
Similar to Big Data Meetup: Data Science & Big Data in Telecom
Similar to Big Data Meetup: Data Science & Big Data in Telecom (20)
More from Provectus
More from Provectus (20)
Recently uploaded
Recently uploaded (20)
Big Data Meetup: Data Science & Big Data in Telecom
- 7. Big Data and Data Science in Telecom Source: Palmer, Shelly. Data Science for the C-Suite. New York: Digital Living Press, 2015
- 8. Big Data and Data Science in Telecom Machine Learning Supervised Unsupervised Reinforcement
- 9. Big Data and Data Science in Telecom • Key Big Data Use Cases for Telecom Source: Telecoms.com Intelligence Industry Survey, 2014 Benefits & Use Case for big data for Telcos
- 10. Big Data and Data Science in Telecom Basic Mobile Network Architecture Base station subsystem Core network Picture Source: http://blog.3g4g.co.uk/2011/07/network-mode-of-operation-nmo.html
- 13. Big Data and Data Science in Telecom
- 14. Big Data and Data Science in Telecom
- 15. Big Data and Data Science in Telecom
- 16. Big Data and Data Science in Telecom
- 17. Big Data & Data Science in Telecom
- 19. • End to End Quality measurement Big Data and Data Science in Telecom
- 20. Big Data and Data Science in Telecom Operational Intelligence Real-Time Network Visualization and Analytics KPI Calculation (40+ QoS KPIs)
- 21. Big Data and Data Science in Telecom Planning Deployment Maintenance/ Optimization Network planning and optimization
- 22. Big Data and Data Science in Telecom
- 23. Big Data and Data Science in Telecom
- 24. Big Data and Data Science in Telecom
- 25. Big Data and Data Science in Telecom • Cell Coverage prediction Path Loss prediction model BS coordinates, antenna height, etc Power of TRX, Antenna pattern, tilt, el-tilt azimuth Path Loss Matrix SUM
- 26. Big Data and Data Science in Telecom • Path loss model calibration Real signal Measurements Regression Calibrated model
- 27. Big Data and Data Science in Telecom Radio planning tool with ANN
- 28. Big Data and Data Science in Telecom • RSSI: predicted and real
- 29. Big Data and Data Science in Telecom TxPa - ? Azimuth -? Tilt - ? El Tilt - ? …
- 30. Big Data and Data Science in Telecom Rationalize infrastructure investments: • Network coverage planning
- 31. Big Data and Data Science in Telecom • Set cover problem • It is one of Karp's 21 NP- complete problems • (shown to be NP- complete in https://en.wikipedia.org/wiki/Set_cover_problem Rationalize infrastructure investments: • Network coverage planning
- 32. Big Data and Data Science in Telecom N … 3 2 1 0 3 0 …1126 7 0 … 21
- 33. Big Data and Data Science in Telecom https://www.researchgate.net/figure/257420602_fig1_Fig-1-Diagram-representing-the-NSGA-II-Multi-Objective-Genetic-Algorithm Genetic algorithm for radio network planning and optimization
- 35. Big Data and Data Science in Telecom • Co-cannel interference C/I
- 36. Big Data and Data Science in Telecom
- 37. Big Data and Data Science in Telecom
- 38. • Graph vertex coloring problem 2 4 1 3 5 6 7 2 4 1 3 5 6 7 Graph Colouring Big Data and Data Science in Telecom
- 39. • Graph vertex coloring problem Big Data and Data Science in Telecom https://en.wikipedia.org/wiki/Graph_coloring Name Graph coloring, vertex coloring, k-coloring Input Graph G with n vertices. Integer k Output Does G admit a proper vertex coloring with k colors? Running time O(2 nn)[5] Complexity NP-complete
- 40. Source: http://business.vesti-ukr.com/107060-ukraincy-aktivnee-zhalujutsja-na-kachestvo-mobilnoj-svjazi Big Data and Data Science in Telecom
- 41. Big Data and Data Science in Telecom • OpenCellID http://opencellid.org/ • • • • OpenSignal https://opensignal.com •
- 42. Customer experience management (CEM) Big Data and Data Science in Telecom
- 44. Alarm monitoring and correlation Automatic issues detection, root cause analysis Localization and removal of failures Cell outage compensation Self-healing Auto-tune the network with the help of UE and eNB measurements on local eNB level and/or network management level Coverage and capacity optimization Inter-cell interference coordination Energy saving Self- optimization Automated network integration of new BTS by auto connection and auto configuration Coverage and capacity optimization Inter-cell interference coordination Energy saving Self- configuration Self-Organizing Networks (SON) Big Data and Data Science in Telecom
- 45. Big Data and Data Science in Telecom модель данные параметр ы Сбор и обработка данных Изменение параметров сети Модель Оптимизации Параметров
- 46. Big Data and Data Science in Telecom
- 47. Big Data and Data Science in Telecom TxPa - ? Azimuth -? Tilt - ? El Tilt - ? …
- 48. Dynamic traffic load balancing Big Data and Data Science in Telecom
- 49. Approach: Reinforcement Q-Learning Source: Stephen S. Mwanje, Andreas Mitschele-Thiel “Cooperative Q-Learning for LTE Self-Organized Handover Optimization“, IEEE WCNC 2014 Big Data and Data Science in Telecom
- 50. Big Data and Data Science in Telecom
- 51. AI algorithms for SON Source: Artificial Intelligence as an Enabler for Cognitive Self-Organizing Future Networks https://arxiv.org/pdf/1702.02823.pdf
- 53. Thanks! Q & A Big Data and Data Science in Telecom
- 54. Big Data and Data Science in Telecom