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

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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 - PowerPoint PPT Presentation

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  • Reducing Cost-per-Bit: Future Wireless

    Tim MoulsleyPhilips ResearchChair of Core 4 Efficiency Industry Steering Group

  • IntroductionThe reverse side of the coin to new revenue generation is cost constraintDrivers are:New radio Innovative use of radio spectrum Deregulation trend This element of the Core 4 programme applies:Combination of physical layer techniquesCognitive radio Cross-layer operationTo secure new Delivery Efficiencies

    Acknowledgement:Is the main source of funding for the 22 researchers

  • Context: Mobile Convergence

  • Context: Capability EvolutionTypical user rate (Mbps)Typical range (km)300.1110GPRS EGPRS UMTS HSDPA 1000.1110802.16802.11x UMTS LTE4GDriving performancebeyond todays limits

  • 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 topologiesAssumptions 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

  • Holistic Approach to EfficiencyEfficiency: Cost/bit/sec/Hz/area ???Service QualityCostSystem CapacityObjectives Spectrum UsageSystem ArchitectureAir-Interface OptionsSub-System FeaturesTechnologies 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 Multiple Access Link Adaptation Modulation/Coding Multiple Antennas Beamforming Interference Suppression Advanced Receivers

  • System Topologiesfreq. 1freq. 1BSA1A2A3AnCo-locatedDistributed AntennasMeshMultihop

  • Work Programme StructureWP1: Optimum Combination of Air-Interface Techniques (Prof Lajos Hanzo, University of Southampton)Advanced MTMR TechniquesPerformance Evaluation of Air Interface TechniquesRF Requirements in Co-operative Terminals

    WP2: Spectrum Sharing & Enabling Techniques through Cognitive Radio (Prof Mark Beach, University of Bristol)Spectrum SharingImpact on System RequirementsSpectrum Sharing Efficiency Gains

    WP3: Joint Link & System Resource Management (Prof Hamid Aghvami, Kings College London)Cross-layer Resource ManagementAdaptive & Self-Organising NetworksOverall System Efficiency

  • Research OutputWireless solutions offering leading-edge performance and efficiency Enhancements to physical layer for efficient deliveryDesign rules for dynamic spectrum managementTheoretical and achievable gains from spectrum sharingHow to do joint link and system optimisationScalable and modular cross-layer operationDocumented in Internal Reports, Patents, Journal Publications