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On-demand spectrum contention: a scalable and fair spectrum sharing protocol for TVWS coexistence

On-demand spectrum contention: a scalable and fair spectrum sharing protocol for TVWS coexistence. Date: 2009-07-14. Authors:.

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On-demand spectrum contention: a scalable and fair spectrum sharing protocol for TVWS coexistence

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  1. On-demand spectrum contention: a scalable and fair spectrum sharing protocol for TVWS coexistence Date: 2009-07-14 Authors: Notice:This document has been prepared to assist IEEE 802.19. It is offered as a basis for discussion and is not binding on the contributing individual(s) or organization(s). The material in this document is subject to change in form and content after further study. The contributor(s) reserve(s) the right to add, amend or withdraw material contained herein. Wendong Hu, STMicroelectronics

  2. Abstract This contribution presents an overview of the On-demand Spectrum Contention (ODSC) protocol for distributed and dynamic spectrum sharing in TV white-space. Wendong Hu, STMicroelectronics

  3. Outline • Overview of ODSC protocol • Illustrations of ODSC protocol • Performance evaluation of ODSC protocol • Conclusion Wendong Hu, STMicroelectronics

  4. Inter-Network Spectrum Sharing in TVWS Wendong Hu, STMicroelectronics

  5. Overview of On-demand Spectrum Contention Protocol • Message-based, demand-driven, distributed spectrum sharing protocol • TVBD cells exchange contention messages, containing random contention numbers, to determine their rights of media access. • Designed for fair, low-overhead, QoS-aware spectrum sharing among the coexisting network cells. • Categorized into Coarse-grain (channel-based) and Fine-grain (frame-based) sharing • The basic principle is adopted in IEEE 802.22 draft standard [1] Wendong Hu, STMicroelectronics

  6. Example of Channel-based ODSC Wendong Hu, STMicroelectronics

  7. Example of Frame-based ODSC Provide a better QoS as compared to the channel-based approach Wendong Hu, STMicroelectronics

  8. Message Flow of ODSC Protocol Wendong Hu, STMicroelectronics

  9. Spectrum Contention Algorithm • Spectrum Contention Number Generation SCN = RANDOM (0, 2^16 ). Wendong Hu, STMicroelectronics

  10. Properties of ODSC Protocol • Require a standardized protocol for all (both heterogeneous and homogeneous) coexisting networks • Require a reliable and efficient inter-network communication mechanism for coexistence. • Require synchronized frame / superframe structure when finer grain spectrum sharing is employed. Wendong Hu, STMicroelectronics

  11. Performance Evaluation – Tool & Settings • Simulation Tool • NS2 (Network Simulator) [2] Model for IEEE 802.22 with ODSC implemented • Simulation Parameters • Single channel sharing • Size of super-frame: 16 frames • Frame size: 10ms • Self-coexistence Window size: 1ms • Simulation time: 10,000 seconds • Coexistence Scenarios (see more next slide) • Complete Graph scenarios • Cycle Graph scenarios • Wheel Graph scenarios • Evaluation Metrics • Fairness and Convergence Time Wendong Hu, STMicroelectronics

  12. Coexistence Scenarios Cycle Complete Wheel Wendong Hu, STMicroelectronics

  13. Performance Evaluation – Results (1) Wendong Hu, STMicroelectronics

  14. Performance Evaluation – Results (2) Wendong Hu, STMicroelectronics

  15. Performance Evaluation – Results (3) Wendong Hu, STMicroelectronics

  16. Fairness and Convergence Time [2] Wendong Hu, STMicroelectronics

  17. Conclusion • ODSC Protocol • enable efficient, scalable, and fair inter-network spectrum sharing • Efficient • Simple contention process (random number exchange) • Contentions are in parallel with data transmissions • Avoid collisions and the hidden node problem • Fair • Random number comparisons • On-demand iterative contention process • Scalable • Distributed decision making, no central arbiter needed. • Stable • Cooperation among networks to achieve the goals of fairness and efficiency of spectrum sharing Wendong Hu, STMicroelectronics

  18. References [1] IEEE P802.22™/ DRAFTv2.0 Draft Standard for Wireless Regional Area Networks Part 22: Cognitive Wireless RAN Medium Access Control (MAC) and Physical Layer (PHY) specifications: Policies and procedures for operation in the TV Bands [2] “The network simulator – ns-2,” http://www.isi.edu/nsnam/ns/v2.28 [3] Jain, R., Chiu, D.M., and Hawe, W. (1984) A Quantitative Measure of Fairness and Discrimination for Resource Allocation in Shared Systems. DEC Research Report TR-301 Wendong Hu, STMicroelectronics

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