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5G Technology Presentation

This presentation describes 5G new mobile generation and some new proposed technologies and new proposed services which planned to become in reality in 2020.

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5G Technology Presentation

  1. 1. “Proposed 5G Deployment Scenario in Egypt” Prepared By: Andrew Mounir Farid Mohamed Ahmed Abd Elhalim Esraa Sobhy Hassan Sherif Mohamed Mahmmoud Under The Supervision of Prof. Dr. Hesham Mohamed ElBadawy Dr. Asmaa Mahmoud Saafan Network Planning Department May 2015 Arab Republic of Egypt Ministry of Communication and Information Technology
  2. 2.  Describe the Revolution of Mobile Networks towards 5G.  Study the candidate frequency bands for 5G in Egypt. Objectives
  3. 3. • Introduction on mobile networks. • 5G Mobile Network. • System model. • Conclusion and Future work. Contents
  4. 4. Growing Traffic Source: Ericsson Mobility Report, February 2015 2014 2017 2020 0 5 10 15 20 25 Global mobile traffic(monthly Exabyte) 2014 2017 2020
  5. 5. Source: Ericsson Mobility Report, February 2015 Growing Devices 2014 2017 2020 2,700 million 6,100 million
  6. 6. Source: Millimeter Wave Wireless Communications: The Renaissance of Computing and Communications, Keynote presentation, Sydney, Australia, June 2014. Existing Mobile Networks
  7. 7. Source: 4G Americas’ summary of global 5G Initiatives, June 2014. 5G European Commission projects
  8. 8. Source: http://parallelwireless/5GPP Vision - Radar diagram of 5G disruptive capabilities 5G Features
  9. 9. 5G 1. 5G Candidate Radio Access Technologies 2. Some 5G Proposed Technologies 3. 5GBackhauling and Fronthauling4. 5G Network Architecture 5. 5G Different Scenarios and Timeline
  10. 10. Source: Radio Access Technologies for 5G, Takehiro Nakamura, NTT DOCOMO, Inc., 2014. Nokia Networks white paper 5G Radio Access System Design Aspects. 5G Candidate Radio Access Technologies New Candidate Waveform, Multiple Access Technique New Candidate Spectrum
  11. 11. Source:ICT-317669-METIS/D6.5, Report on simulation results and evaluations , March 2015 & Yuya Saito, Anass Benjebbour, Yoshihisa Kishiyama, and Takehiro Nakamura, 5G Radio Access Network Research Group, 5G Laboratory, NTT DOCOMO, INC New Candidate Waveform & Multiple Access • Test Case 1: (FBMC + SCMA) Vs OFDM • Test Case 2: NOMA Vs OMA
  12. 12. Source: SK Telecom’s view on 5G vision, Architecture, service and spectrum, Network Technology R&D center, SK Telecom. New Candidate Spectrum (below 6GHz)
  13. 13. Source: http://hothardware.com/news/Intel-Reimagines-The-Data-Center-With-New-Avoton-Server-Architecture-SoftwareDefined-Services Software Defined Network (SDN)
  14. 14. Ultra Dense Network (UDN) Source: Radio Access Technologies for 5G, Takehiro Nakamura, NTT DOCOMO, Inc., 2014.
  15. 15. Centralized or Cloud RAN (C-RAN) Source: http://gadgets.ndtv.com/telecom/news/airtel-china-mobile-partner-for-5g-telecom-equipment-procurement -666610
  16. 16. • Main challenges:  Large antenna dimensions at lower frequencies.  High cost due to large number of RF chains. Massive MIMO Ex. 256 elements Source: The massive MIMO test bed at Lund University in Sweden is based on USRP RIO with a custom cross-polarized patch antenna array
  17. 17. • Optimizes the use of available radio-frequency (RF) spectrum. Cognitive Radio primary users: licensed users. Secondary users : that can identify white, gray and black spaces. Source:http://www.ece.gatech.edu/research/labs/bwn/CR/
  18. 18. • Advantages:  Increase coverage.  Offload backhauling.  Provide a fall-back solution.  Improve spectrum usage.  Typical user data rate. Reduce E2E latency. http://www.ericsson.com/research-blog/5g/device-device-communications/ Device-to-Device Communications
  19. 19. • Reducing the traffic on the cellular network using a seamless operator-controlled transition to WLAN networks. http://www.aptilo.com/repository/dl/Wi-Fi_offload_WHY_v2-03-13.pdf Localized Traffic Flows (Offloading network)
  20. 20. 5G Backhaul, Fronthaul network backhaulfronthaul Source:http://www.bost.ey.gov.tw/Upload/UserFiles/12.pdf
  21. 21. Three Main Transport Methods: •Copper (E1s) •Fiber •Microwave 5G Backhaul, Fronthaul (cont.) Source:http://www.bost.ey.gov.tw/Upload/UserFiles/12.pdf
  22. 22. GPON bandwidth VDSL2 bandwidth Source: http://www.huawei.com/en/about-huawei/publications/communicate/hw-327210.htm 5G wire line fronthaul
  23. 23. Source: MA Zheng, ZHANG Zheng Quan, DING ZhiGuo, FAN PingZhi & LI HengChao. “ Key techniques for 5G wireless communications : network architecture, physical layer, and MAC layer perspectives". February 10, 2015 5G Network Architecture
  24. 24. 1. Scenario of METIS:- EU project which stands for “Mobile and wireless communications Enablers for the Twenty-twenty Information Society”. Source:www.metis2020.com/about-metis/project-structure Proposed Scenarios Technology Components HorizontalTopics
  25. 25. 2. Scenario of NGMN Alliance:- NGMN stands for “Next Generation Mobile Networks” Sourcewww.ngmn.org/work-programme/5g-initiative Proposed Scenarios (cont.)
  26. 26. Source: www.huawei.com/5gwhitepaper 5G Time line
  27. 27. 27 Source: S. Rangan, T. S. Rappaport, and E. Erkip, “Millimeter-Wave Cellular Wireless Networks: Potentials and Challenges,” Proceedings of the IEEE, vol. 102, no. 3, pp. 366-385, March 2014, “Millimeter Wave Channel Modeling and Cellular Capacity Evaluation,” IEEE. J. Sel. Areas on Comm., July 2014 Candidate Spectrum in 5G (mmW)
  28. 28.  Methodology: • Area:  We chose an available area for measurements (network planning department ).  Taking 13 points (10 indoors & 3 outdoors).  Leica Disto™ A5 Laser distance meter to measure the building dimensions. Laser distance meter System Model Spectrum below 6 GHz
  29. 29. • Frequency bands:  200, 700, 1400, 1900 MHz. 100MHz total B.W. 5MHz channel B.W.  FSH6 spectrum analyzer to measure the average power level. FSH6 spectrum analyzer Methodology (cont.)
  30. 30. 3D-Figure of estimated power detected at 200 MHz band. Color Code for max estimated power (dBm) Measurements
  31. 31. 3D-Figure of estimated power detected at 700 MHz band. Color Code for max estimated power (dBm) Measurements (cont.)
  32. 32. 3D-Figure of estimated power detected at 1400 MHz band. Color Code for max estimated power (dBm) Measurements (cont.)
  33. 33. 3D-figure of estimated power detected at 1900 MHz band. Color Code for max estimated power (dBm) Measurements (cont.)
  34. 34. 200 MHZ 700 MHZ 1900 MHZ1400 MHZ KPI
  35. 35. • 700 MHz band is allocated for analog TV broadcasting. However, in the near future the digital TV broadcasting will replace it thus we can exploit 700 MHz band for 4G and 5G. Results •We found that the optimum Bands are:  685-695 MHz for uplink.  710-720 MHz for downlink
  36. 36. Color Code for max estimated power (dBm) • 700MHz bands (uplink and downlink) in details: Downlink Uplink Results (cont.)
  37. 37. Conclusion IOT: Internet of things. M2M: machine-to-machine communication
  38. 38. Study of spectrum ( mm-Wave bands) in Egypt To propose New regulatory tools of sharing and optimizing the spectrum in Egypt Considering the time factor in spectrum measurements below 6 GHz To find out specific effective holes. Future Work Apply some Test Cases for 5G technologies and services in Egypt To define Which technologies and services are suited for Egypt
  39. 39. THANK YOU….

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This presentation describes 5G new mobile generation and some new proposed technologies and new proposed services which planned to become in reality in 2020.


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