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Optimal Method in Cognitive Radio Networks Routing

Kazemi, Mohsen | 2011

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 41632 (19)
  4. University: Sharif University of Technology
  5. Department: Computer Engineering
  6. Advisor(s): Hemmat Yar, Afshin
  7. Abstract:
  8. Cognitive radio (CR) technology is envisaged to solve the problems in wireless networks resulting from the limited available spectrum and the inefficiency in the spectrum usage by exploiting the existing wireless spectrum opportunistically. CR networks, however, impose unique challenges due to the high fluctuation in the available spectrum as well as diverse quality-of-service (QoS) requirements. Specifically, in cognitive radio ad hoc networks (CRAHNs), the distributed multi-hop architecture, the dynamic network topology, and the time and location varying spectrum availability are some of the key distinguishing factors. In this literature, we propose a new routing algorithm that tries to find multiple routes for each session, by this reduce the overhead due to rerouting. Our proposed routing algorithm work on link dis-joint manner. Due to the decentralized nature of the multi-hop wireless networks, a centralized resource management solution for these delay-constrained applications is not practical, since the tolerable delay does not allow propagating information back and forth throughout the network to a centralized decision maker. Moreover, the complexity and the information overhead of the centralized optimization grow exponentially with the size of the network. Hence, a distributed resource management solution, which explicitly considers the availability of information, the transmission overheads and incurred delays, as well as the value of this information in terms of the utility impact, is necessary. We propose a distributed channel allocation policy that maximizes overall network throughput subject to fairness constraints on allocation of scare wireless capacity among mobile clients.

  9. Keywords:
  10. Cross Layer Design ; Routing Protocol ; Cognitive Radio ; Routing Parameters

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