Skip to content

Advertisement

  • Research Article
  • Open Access

Intercluster Connection in Cognitive Wireless Mesh Networks Based on Intelligent Network Coding

EURASIP Journal on Advances in Signal Processing20092009:141097

https://doi.org/10.1155/2009/141097

  • Received: 10 July 2009
  • Accepted: 12 August 2009
  • Published:

Abstract

Cognitive wireless mesh networks have great flexibility to improve spectrum resource utilization, within which secondary users (SUs) can opportunistically access the authorized frequency bands while being complying with the interference constraint as well as the QoS (Quality-of-Service) requirement of primary users (PUs). In this paper, we consider intercluster connection between the neighboring clusters under the framework of cognitive wireless mesh networks. Corresponding to the collocated clusters, data flow which includes the exchanging of control channel messages usually needs four time slots in traditional relaying schemes since all involved nodes operate in half-duplex mode, resulting in significant bandwidth efficiency loss. The situation is even worse at the gateway node connecting the two colocated clusters. A novel scheme based on network coding is proposed in this paper, which needs only two time slots to exchange the same amount of information mentioned above. Our simulation shows that the network coding-based intercluster connection has the advantage of higher bandwidth efficiency compared with the traditional strategy. Furthermore, how to choose an optimal relaying transmission power level at the gateway node in an environment of coexisting primary and secondary users is discussed. We present intelligent approaches based on reinforcement learning to solve the problem. Theoretical analysis and simulation results both show that the intelligent approaches can achieve optimal throughput for the intercluster relaying in the long run.

Keywords

  • Time Slot
  • Primary User
  • Secondary User
  • Network Code
  • Gateway Node

Publisher note

To access the full article, please see PDF.

Authors’ Affiliations

(1)
Key Laboratory of Integrate Information Network Technology, Zhejiang University, Zheda Road 38, 310027 Hangzhou, China
(2)
Department of Information Science and Electronic Engineering, Zhejiang University, Zheda Road 38, 310027 Hangzhou, China
(3)
Communication Research Group, Department of Electronics, University of York, York, YO10 5DD, UK

Copyright

Advertisement