FMAC for coexisting ad hoc cognitive radio networks

Yanxiao Zhao, Min Song, Chunsheng Xin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Media access control plays a critical role in cognitive radio networks (CRNs). In our previous work, we have proposed a fairness-oriented media access control (FMAC) protocol to achieve fair and efficient coexistence of infrastructure-based CRNs. In this paper, we enhance FMAC to be used for coexisting ad hoc CRNs, where no centralized base stations exist, and secondary users (SUs) access channel independently. In FMAC, the contention window size is essential to network performance such as throughput. We first derive the optimal contention window size, which can then be used by SUs to achieve optimal throughput. However, the optimal contention window size is closely related to the total number of users of all CRNs, which is typically unknown to each individual SU of coexisting ad hoc CRNs. We attack this problem by building a bridge between the average number of consecutive idle time slots and optimal contention window size, since the average number of consecutive idle time slots can be easily observed by each individual SU. Hence, SUs can independently adjust their contention window size by observing their current average number of consecutive idle time slots and eventually approach the optimal contention window without the information of the total number of SUs. Extensive simulations are conducted and the results verify that the enhanced FMAC is able to significantly improve the fairness among coexisting ad hoc CRNs while maintaining good throughput.

Original languageEnglish
Title of host publicationWireless Algorithms, Systems, and Applications - 8th International Conference, WASA 2013, Proceedings
Pages391-401
Number of pages11
DOIs
StatePublished - 2013
Event8th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2013 - Zhangjiajie, China
Duration: 7 Aug 201310 Aug 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7992 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2013
Country/TerritoryChina
CityZhangjiajie
Period7/08/1310/08/13

Keywords

  • coexisting
  • cognitive radio networks
  • fairness
  • throughput

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