Optimal spectrum sharing for contention-based cognitive radio wireless networks

Manish Wadhwa, Chunsheng Xin, Min Song, Norou Diawara, Yanxiao Zhao, Komalpreet Kaur

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

1 Scopus citations

Abstract

Fixed spectrum assignment policy lead to the need for a more dynamic approach to spectrum access. This paper analyzes the optimal dynamic spectrum sharing possibilities among primary and secondary users in cognitive radio networks, where the channel access for both primary and secondary users in the same channel is contention-based. We assume slotted time. Fixed and random allocations of primary users in the channels are considered for contention-based study. This means that in a fixed allocation, the number of primary users is fixed in a specific channel; their number may vary in different channels. Random allocation on the other hand considers primary users randomly allocated in different channels in each time slot. Given the number of channels and primary users, we find the optimal number of secondary users that obtains maximum throughput in spectrum sharing with primary users. The results obtained provide low complexity solutions for implementation in practical systems.

Original languageEnglish
Title of host publicationWireless Algorithms, Systems, and Applications - 7th International Conference, WASA 2012, Proceedings
Pages187-196
Number of pages10
DOIs
StatePublished - 2012
Event7th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2012 - Yellow Mountains, China
Duration: 8 Aug 201210 Aug 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7405 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2012
Country/TerritoryChina
CityYellow Mountains
Period8/08/1210/08/12

Keywords

  • Cognitive radio network
  • optimization
  • spectrum management
  • spectrum sharing

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