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5G Technology Presentation
This document provides a summary of a proposed 5G deployment scenario in Egypt. It describes studying the candidate frequency bands for 5G in Egypt below 6 GHz through measurements at 13 points. The results found 700 MHz band is optimum for 4G and 5G, with 685-695 MHz for uplink and 710-720 MHz for downlink. Future work is proposed to study millimeter wave spectrum in Egypt, develop new regulatory tools for optimizing spectrum sharing, apply test cases for 5G technologies and services, and define which are suited for Egypt by considering the time factor in spectrum measurements.
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5G Technology Presentation
- 1. “Proposed 5G DeploymentScenario 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. Describe theRevolution of Mobile Networks towards 5G. Study the candidate frequency bands for 5G in Egypt. Objectives
- 3. • Introduction onmobile networks. • 5G Mobile Network. • System model. • Conclusion and Future work. Contents
- 4. Growing Traffic Source: EricssonMobility Report, February 2015 2014 2017 2020 0 5 10 15 20 25 Global mobile traffic(monthly Exabyte) 2014 2017 2020
- 5. Source: Ericsson MobilityReport, February 2015 Growing Devices 2014 2017 2020 2,700 million 6,100 million
- 6. Source: Millimeter WaveWireless Communications: The Renaissance of Computing and Communications, Keynote presentation, Sydney, Australia, June 2014. Existing Mobile Networks
- 7. Source: 4G Americas’summary of global 5G Initiatives, June 2014. 5G European Commission projects
- 8. Source: http://parallelwireless/5GPP Vision- Radar diagram of 5G disruptive capabilities 5G Features
- 9. 5G 1. 5G CandidateRadio Access Technologies 2. Some 5G Proposed Technologies 3. 5GBackhauling and Fronthauling4. 5G Network Architecture 5. 5G Different Scenarios and Timeline
- 10. Source: Radio AccessTechnologies 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. Source:ICT-317669-METIS/D6.5, Report onsimulation 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. Source: SK Telecom’sview on 5G vision, Architecture, service and spectrum, Network Technology R&D center, SK Telecom. New Candidate Spectrum (below 6GHz)
- 13.
- 14. Ultra Dense Network(UDN) Source: Radio Access Technologies for 5G, Takehiro Nakamura, NTT DOCOMO, Inc., 2014.
- 15. Centralized or CloudRAN (C-RAN) Source: http://gadgets.ndtv.com/telecom/news/airtel-china-mobile-partner-for-5g-telecom-equipment-procurement -666610
- 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. • Optimizes theuse 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. • Advantages: Increasecoverage. 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. • Reducing thetraffic 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. 5G Backhaul, Fronthaulnetwork backhaulfronthaul Source:http://www.bost.ey.gov.tw/Upload/UserFiles/12.pdf
- 21. Three Main TransportMethods: •Copper (E1s) •Fiber •Microwave 5G Backhaul, Fronthaul (cont.) Source:http://www.bost.ey.gov.tw/Upload/UserFiles/12.pdf
- 22. GPON bandwidth VDSL2 bandwidth Source:http://www.huawei.com/en/about-huawei/publications/communicate/hw-327210.htm 5G wire line fronthaul
- 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. 1. Scenario ofMETIS:- 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. 2. Scenario ofNGMN Alliance:- NGMN stands for “Next Generation Mobile Networks” Sourcewww.ngmn.org/work-programme/5g-initiative Proposed Scenarios (cont.)
- 26.
- 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. 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. • 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. 3D-Figure of estimatedpower detected at 200 MHz band. Color Code for max estimated power (dBm) Measurements
- 31. 3D-Figure of estimatedpower detected at 700 MHz band. Color Code for max estimated power (dBm) Measurements (cont.)
- 32. 3D-Figure of estimatedpower detected at 1400 MHz band. Color Code for max estimated power (dBm) Measurements (cont.)
- 33. 3D-figure of estimatedpower detected at 1900 MHz band. Color Code for max estimated power (dBm) Measurements (cont.)
- 34. 200 MHZ 700MHZ 1900 MHZ1400 MHZ KPI
- 35. • 700 MHzband 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. Color Code formax estimated power (dBm) • 700MHz bands (uplink and downlink) in details: Downlink Uplink Results (cont.)
- 37. Conclusion IOT: Internet ofthings. M2M: machine-to-machine communication
- 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.