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Use of Coordinated Multipoint Transmission/Reception for Enhanced Backhauling in Nomadic Relay

Use of Coordinated Multipoint Transmission/Reception for Enhanced Backhauling in Nomadic Relay. Khalid Hasan Supervisor: Prof. Jyri Hämäläinen Instructor: Dr. Edward Mutafungwa Aalto University School of Electrical Engineering. Outline. Background Objective COMP Relay

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Use of Coordinated Multipoint Transmission/Reception for Enhanced Backhauling in Nomadic Relay

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  1. Use of Coordinated Multipoint Transmission/Reception for Enhanced Backhauling in Nomadic Relay Khalid Hasan Supervisor: Prof. Jyri Hämäläinen Instructor: Dr. Edward Mutafungwa Aalto University School of Electrical Engineering

  2. Outline • Background • Objective • COMP • Relay • Simulation Scenario • Simulation Results • Conclusion • Future Task • Questions & Suggestions

  3. Background LTE-Advanced Requirement • Data Rates of 1Gbps in DL and 500Mbps in UL • High Spectral Efficiency both in DL (30 bps/Hz) and UL (15bps/Hz) • Cell edge Capacity Enhancement Candidate Technology • Carrier Aggregation (CA) • Extended MIMO (E-MIMO) • Coordinated Multipoint Transmission/Reception (COMP) • Heterogeneous Network (HetNet)

  4. Objective • To investigate the performance at Backhaul in terms of SINR and throughput with the implementation of different COMP techniques and without applying COMP. • To analyze the indoor user performance with and without nomadic relays. On top of that, with and without COMP technique is applied at relay link to study indoor user performance.

  5. COMP • Offers Coordination between eNB to eNB • Coordination between small cells • Users served from different geographically located transmission points. • Interconnections among different transmission points Types of COMP • Coordinated Scheduling/beamforming • Joint Processing

  6. COMP CS/CB Joint Processing • Dynamic Point Blanking (DPB) • Quantized Co-Phasing (QCP) • Intra-QCP • Inter-QCP

  7. Relaying Relay Node (RN) • Small power wireless base station connected via donor cell to the core network. • Low Transmission power (30dBm). • Wireless Backhaul which eliminate the high cost of fixed link. Expected Improvements • Provide Coverage in new areas • Temporary network deployment • Cell edge throughput • Coverage of high data rate • Group mobility Macro Overlaid Relay Network • Relay Link (Relay-DeNB) • Access Link (UE-Relay) • Direct Link (DeNB-UE)

  8. Relaying Classification of Relay • Infrastructure Based Relay • Fixed RN • Nomadic RN • Mobile RN • Protocol Based Relay • Layer 1 RN • Layer 2 RN • Layer 3 RN • Resource Usage Based Relay • In Band Relay • Out Band Relay

  9. Relaying

  10. Simulation Scenario • Scenario 1: 3GPP Defined Layout • Scenario 2: Realistic Building Layout Scenario 1 Network Layout • 7 tri-sectored hexagonal cell • In band type 1 Nomadic Relay Node • 5x5 building (25 flats) • 8 indoor users • 10 outdoor UEs per sector • ISD 500m

  11. Scenario 1

  12. Scenario 2 Network Layout • Institute of Radio Frequency, University of Stuttgart, Germany. • Proposed network area is subdivided into pixels with certain resolution (10*10m for Outdoor area, 2*2m for Indoor area) • Path loss values for each pixel against all access point (Macro base station and Relay node) ..Winprop tool used. • Four tri-sectored Macro sites and Nine Relay nodes. • 8 Indoor and 130 Outdoor UEs randomly distributed over the building and whole geographic area, respectively.

  13. Scenario 2

  14. UE SINR Note: The number ’0’ represents the serving eNB or RN. Numerator gives the received signal power from serving base station while denominator gives the co-channel interference and noise power from the interferes.

  15. Throughput Mapping

  16. Simulation Parameters (Scenario 1)

  17. Simulation Parameters (Scenario 2)

  18. Resource Scheduling . Resource Scheduling Method: • Round Robin Scheduling allocates PRBs to the UEs connected to RN. • Max-Min Fairness reallocates the PRBs. • Backhaul rate works as bottleneck. Channel Models: • A modified version of COST-231 is proposed namely COST231-Walfisch-Ikegami (WI) Model. • Dominant Path Model

  19. Results Scenario 1: 3GPP Defined Layout [1]. A

  20. Results Scenario 1: 3GPP Defined Layout

  21. Results Scenario 2: Realistic Building Layout

  22. Results Scenario 2: Realistic Building Layout

  23. Conclusion • Better backhaul link , therefore better access link • UE throughput Improved due to implementation of RN

  24. Future Work • The future work incorporating multiple tasks to be investigated as follow; • Use of Multiple relay at the same time • Resource scheduling while using multiple relay • Implementation of DPB and Intra-QCP need much more attention.

  25. QuestionsandSuggestions

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