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Reducing Cost-per-Bit: Future Wireless Tim Moulsley Philips Research

Reducing Cost-per-Bit: Future Wireless Tim Moulsley Philips Research Chair of Core 4 Efficiency Industry Steering Group. Introduction. The reverse side of the coin to new revenue generation is cost constraint Drivers are: ‘New radio’ Innovative use of radio spectrum Deregulation trend

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Reducing Cost-per-Bit: Future Wireless Tim Moulsley Philips Research

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  1. Reducing Cost-per-Bit: Future Wireless Tim Moulsley Philips Research Chair of Core 4 Efficiency Industry Steering Group

  2. Introduction • The reverse side of the coin to new revenue generation is cost constraint • Drivers are: • ‘New radio’ • Innovative use of radio spectrum • Deregulation trend • This element of the Core 4 programme applies: • Combination of physical layer techniques • Cognitive radio • Cross-layer operation ……………To secure new Delivery Efficiencies Acknowledgement: Is the main source of funding for the 22 researchers

  3. Portable Media MP3 PDA Smart Phone Convergent devices CellularPhones DSC Gaming MobileImaging Video Context: Mobile Convergence

  4. Context: Capability Evolution Driving performance beyond today’s limits 30 10 Typical range (km) GPRS “4G” EGPRS 1 UMTS UMTS LTE HSDPA 802.16 802.11x 0.1 10 1 0.1 100 Typical user rate (Mbps)

  5. Programme Objective • Highest Performance and Efficiency Approach • Joint optimisation of link-level & system level • Dynamic spectrum use • Cross-layer adaptation and auto-planning ………. Applied to different system topologies Assumptions • Starting point: 3GPP UMTS Long Term Evolution • Multiple Antennas • Multi-Carrier vs. Single-Carrier • Bandwidth: 1.25 MHz - 100 MHz • Operating Frequency: 450 MHz - 5 GHz

  6. Holistic Approach to Efficiency Objectives Service Quality Cost System Capacity Efficiency: Cost/bit/sec/Hz/area ??? Spectrum Usage System Architecture Air-Interface Options Sub-System Features • Multiple Access • Link Adaptation • Modulation/Coding • Multiple Antennas • Beamforming • Interference Suppression • Advanced Receivers • Fixed vs Dynamic • Spectrum Allocation vs. Spectrum Selection • Cognitive Radio • (Spectrum Sensing, Technology • Identification) • Cellular • Multihop • Full Mesh • Cooperative Relaying • Resource Management • Multi-Layer Operation Technologies

  7. FRS FRS freq. 1 FRS FRS FRS FRS freq. 2 MS MS MS MS MS MS MS MS BS BS BS freq. 1 freq. 1 System Topologies Multihop freq. 1 Mesh freq. 1 A3 An A2 BS Distributed Antennas Co-located A1

  8. Work Programme Structure • WP1: Optimum Combination of Air-Interface Techniques (Prof Lajos Hanzo, University of Southampton) • Advanced MTMR Techniques • Performance Evaluation of Air Interface Techniques • RF Requirements in Co-operative Terminals • WP2: Spectrum Sharing & Enabling Techniques through Cognitive Radio (Prof Mark Beach, University of Bristol) • Spectrum Sharing • Impact on System Requirements • Spectrum Sharing Efficiency Gains • WP3: Joint Link & System Resource Management(Prof Hamid Aghvami, Kings College London) • Cross-layer Resource Management • Adaptive & Self-Organising Networks • Overall System Efficiency

  9. Research Output • Wireless solutions offering leading-edge performance and efficiency • Enhancements to physical layer for efficient delivery • Design rules for dynamic spectrum management • Theoretical and achievable gains from spectrum sharing • How to do joint link and system optimisation • Scalable and modular cross-layer operation • Documented in Internal Reports, Patents, Journal Publications

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