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Semi-Structure Routing and Performance Analysis for Cognitive Radio Networks

Semi-Structure Routing and Performance Analysis for Cognitive Radio Networks. Shouling Ji , Mingyuan Yan, Raheem Beyah , and Zhipeng Cai Georgia State University Georgia Institute of Technology. OUTLINE. 1. Introduction. System Model. 2. Semi-Structure Routing Framework. 3.

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Semi-Structure Routing and Performance Analysis for Cognitive Radio Networks

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  1. Semi-Structure Routing and Performance Analysis for Cognitive Radio Networks ShoulingJi, Mingyuan Yan,RaheemBeyah, and ZhipengCai Georgia State University Georgia Institute of Technology

  2. OUTLINE 1 Introduction System Model 2 Semi-Structure Routing Framework 3 Performance Analytical Framework 4 5 Simulation 6 Conclusion

  3. Introduction

  4. Cognitive Radio Networks (CRNs) • Cognitive Radio Networks (CRNs) • The utilization of spectrum assigned to licensed users varies from 15% to 85% temporally and geographically (FCC report) • Unlicensed users (Secondary Users, SUs) can sense and learn the communication environment, and opportunistically access the spectrum without causing any unacceptable interference to licensed users (Primary Users, PUs)

  5. Broadcast Scheduling in CRNs • Routing in CRNs • Metric/rule based routing protocols • Resource aided routing protocols • Optimization based routing protocols • Motivation • Shortcomings of existing works • Lacking of analytical models for routing protocol behaviors • Our contributions • A spectrum-aware Semi-Structure Routing (SSR) framework • A latency and scalability analytical framework • Extensive simulations

  6. System Model

  7. Network Model • Primary Network • m Primary Users (PUs): • Network time is slotted: • licensed spectrum bands • Primary transmitters are Poisson distributed with density • Secondary Network • nrandomly distributed Secondary Users (SUs) • Dense scaling

  8. Network Model • Power Model • l levels of power • Transmission radius: • Topology graph • Communication Model • Distance (power) constraint • Available spectrum constraint • Interference-free constraint

  9. Semi-Structure Routing (SSR) Framework

  10. Network Partition • Inner area and outer area

  11. Semi-Structure Routing (SSR) • Routing zone and Forwarding zone

  12. Semi-Structure Routing (SSR) • Routing in inner area

  13. Semi-Structure Routing (SSR) • Routing in CRN • Case 1: both source and destination in the inner area • Case 2: source in the outer area, destination in the inner area • Case 3: source in the inner area, destination in the outer area • Case 4: both source and destination in the outer area

  14. Performance Analytical Framework

  15. Routing Latency Bound • Expected routing latency • k: the number of routing zones on the route • : the lower bound on the single node to single node spectrum opportunity • : the lower bound on the single node to a set spectrum opportunity

  16. Routing Scalability • Routing Scalability • : the physical distance from source to destination • Which is consistent with the scaling law on the connectivity-scalability of CRNs

  17. Simulation

  18. Simulation Results and Analysis • Latency performance

  19. Simulation Results and Analysis • Energy consumption performance

  20. Conclusion • A Semi-Structure Routing Framework • A Performance Analytical Framework • Simulation results are conducted to validate the design routing algorithm

  21. Semi-Structure Routing and Performance Analysis for Cognitive Radio Networks ShoulingJi, Mingyuan Yan, RaheemBeyah, and ZhipengCai Georgia State University Georgia Institute of Technology Thank you!

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