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Resource Allocation Algorithms Design for 5G Wireless Networks Vincent Wong Department of Electrical and Computer Engineering The University of British Columbia November 5, 2016 0 5G Overview User Data Rate 1000K E2E Latency 0.1 1 Gbps


  1. Resource Allocation Algorithms Design for 5G Wireless Networks Vincent Wong Department of Electrical and Computer Engineering The University of British Columbia November 5, 2016 0

  2. 5G Overview User Data Rate 1000K E2E Latency 0.1 – 1 Gbps Connections/km 2 < 10 ms UHD 3D Smart Home M2M Devices Video Industry Augmented Wearables e-Health Reality Energy Mobile Smart Cloud Phones Transportation Traffic Devices Applications 1

  3. 3GPP Use Cases § Enhanced Mobile Broadband (eMBB) Applications Devices Requirements • Smart Phones • UHD 3D Video • Peak Data Rate Streaming • Tablets ~ Tens of Gbps • Virtual / Augmented • User Data Rate Reality ~ 0.1-1 Gbps • Mobile Cloud / Cloud Gaming 2

  4. 3GPP Use Cases § Massive Machine-type Communications (mMTC) Applications Devices Requirements • Home Automation • Wearables • High Connection • Intelligent Density ~ 1000K • Smart Home Transportation Devices per km 2 Appliances Systems • Extended Battery • Smart Traffic Signs • Asset Tracking Lifetime ~ 15 / Lights • Environmental Years Monitoring • Sensors 3

  5. 3GPP Use Cases § Ultra-Reliable Low Latency Communications (URLLC) Devices Applications Requirements • Autonomous • e-Health • High Reliability Vehicles Rate ~ 0.99999 • Industrial • Health Monitoring Automation • Low E2E Latency Devices ~ < 10 ms • Remote Surgery • Autonomous Robotics Driving • Industrial Sensors and Actuators 4

  6. Key Technologies Filling the Gap 5

  7. 5G Network Architecture 6

  8. Cloud Radio Access Network (C-RAN) Architecture UE BBU pool RRH optical fiber C 2 C 4 C 5 C 6 C 1 2 C 3 4 6 1 5 3 § Decouple the baseband unit (BBU) and the remote radio head (RRH) § Place BBUs in a data center for centralized control and processing § Reduce CAPEX and OPEX for system upgrade and maintenance § Improve spectral efficiency via centralized interference control and coordinated multi-point transmission (CoMP) 7

  9. Network Slicing Resource Management Algorithm URLLC mMTC eMBB Slice 4 Slice 5 Slice N – 2 Slice N – 1 Slice N Slice 1 Slice 2 Slice 3 Service Service Service Provider A Provider B Provider C UHD Cloud E-Health V2V Video Gaming Environmental Monitoring § Enables flexible and dynamic slicing of network resources 8

  10. Problem Statement 1: User-Centric Resource Sharing for C-RAN § Goal o Quality of service guarantee o Service isolation o Traffic variation, user mobility § Given o Set of service providers o Capacity of fronthaul links § Variables o Time slot, channel allocation o User association § Techniques o Mixed integer non-linear programming § Multi-timescale resource allocation o Global (local) resource allocation at longer (smaller) time scale 9

  11. Problem Statement 2: Beamforming Design in C-RAN § Goal UE BBU pool o Maximize users’ satisfaction RRH o SINR and power constraints optical fiber Given § C 2 C 4 C 5 C 6 C 1 o Set of users and RRHs 2 C 3 4 o Capacity of fronthaul links 6 1 5 o Imperfect CSI 3 Variables § o Beamforming vector for each user Techniques § o Non-linear programming o Convex relaxation o Semidefinite programming 10

  12. Problem Statement 3: Non-Orthogonal Multiple Access (NOMA) for Narrowband IoT Systems § Goal o Maximize connection density § Given o Set of mMTC, URLLC devices o NB-IoT specification o Latency and power requirement § Variables o Sub-carrier allocation o Transmit power § Techniques o Non-orthogonal multiple access (NOMA) o Combinatorial optimization 11

  13. Sample Publications in Wireless Networking in 2016 § B. Niu et al ., “A Dynamic Resource Sharing Mechanism for Cloud Radio Access Networks,” IEEE Trans. on Wireless Communications , 2016. § Z. Wang et al ., “How to Download More Data from Neighbors? A Metric for D2D Data Offloading Opportunity,” IEEE Trans. on Mobile Computing , 2016. § B. Ma et al ., “Multimedia Content Delivery in Millimeter Wave Home Networks,” IEEE Trans. on Wireless Communications , 2016. § S. Duan et al ., “D-ACB: Adaptive Congestion Control Algorithm for Bursty M2M Traffic in LTE Networks,” IEEE Trans. on Vehicular Technology , 2016. § L. Xiang et al ., “Cache-Enabled Physical-Layer Security for Video Streaming in Wireless Networks with Limited Backhauls,” in Proc. of IEEE GLOBECOM Workshop , Dec. 2016. § Z. Wang et al ., “Transmit Beamforming for QoE Improvement in C-RAN with Mobile Virtual Network Operators,” in Proc. of IEEE Int’l Conf. on Communications (ICC) , May 2016. § B. Ma et al ., “A Matching Approach for Power Efficient Relay Selection in Full Duplex D2D Networks,” in Proc. of IEEE Int’l Conf. on Communications (ICC) , May 2016. http://www.ece.ubc.ca/~vincentw/Homepage/Publication.html 12

  14. Forthcoming Edited Book in 5G Wireless Systems EDITED BY: VINCENT W. S. WONG ROBERT SCHOBER DERRICK WING KWAN NG LI-CHUN WANG KEY TECHNOLOGIES FOR 5G WIRELESS § Publisher: Cambridge University Press SYSTEMS § Hard copy will be available in April 2017 13

  15. Questions vincentw@ece.ubc.ca http://www.ece.ubc.ca/~vincentw 14

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