A learning-based multiuser opportunistic spectrum access approach in unslotted primary networks

Sachin Shetty, Min Song, Chunsheng Xin, E. K. Park

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

22 Scopus citations

Abstract

Opportunistic spectrum access presents a new approach to wireless spectrum utilization and management. In this paper, we propose a non-cooperative based OSA approach: learning-based approach to allow multiple secondary users to achieve maximal throughput in an unslotted opportunistic spectrum access (OSA) network. In this approach, collisions among secondary users are taken into consideration while making channel sensing decisions. Spectrum maps for secondary users are estimated based on occurrence of collisions. Our approach allows secondary users to achieve maximal throughput by seeking independent spectrum opportunities without exchanging any control information among secondary users. Numerical results show that the learning-based approach obtains near-optimal performance in most of the scenarios.

Original languageEnglish
Title of host publicationIEEE INFOCOM 2009 - The 28th Conference on Computer Communications
Pages2966-2970
Number of pages5
DOIs
StatePublished - 2009
Event28th Conference on Computer Communications, IEEE INFOCOM 2009 - Rio de Janeiro, Brazil
Duration: 19 Apr 200925 Apr 2009

Publication series

NameProceedings - IEEE INFOCOM
ISSN (Print)0743-166X

Conference

Conference28th Conference on Computer Communications, IEEE INFOCOM 2009
Country/TerritoryBrazil
CityRio de Janeiro
Period19/04/0925/04/09

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