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Mobile Networks and Applications
Published in: Mobile Networks and Applications 4/2013

01-08-2013

Green Access Point Selection for Wireless Local Area Networks Enhanced by Cognitive Radio

Authors: Wendong Ge, Shanzhi Chen, Hong Ji, Xi Li, Victor C. M. Leung

Published in: Mobile Networks and Applications | Issue 4/2013

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Abstract

In wireless local area networks (WLANs) made up of Extended Service Sets, access point (AP) selection is a key issue to improve the network performance and balance the traffic load. WLANs operating in the shared Industrial, Scientific and Medical band can benefit from the use of cognitive radio (CR) techniques to enable dynamic access to spectrum holes that are free from interference. In this paper, we propose an optimal Green AP Selection (GAPS) scheme, in which AP selection is optimized to maximize the system throughput while minimizing the energy consumption, for multi-rate WLANs enhanced by CRs. Different from most existing AP selection schemes, GAPS takes into account of the state transition tendency of APs and the influence of Automatic Rate Fallback mechanism in the Distributed Coordination Function. The AP selection problem is formulated as a restless bandit problem and solved by the primal-dual index heuristic algorithm based on first order relaxation to yield the GAPS scheme with the “indexability” property and hence a low complexity. GAPS is further divided into offline computation, which accounts for the bulk of the computations, and online selection, with a low complexity to facilitate implementation. Extensive simulation results illustrate the significant performance improvements of GAPS compared with existing AP selection schemes in different scenarios.
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Metadata
Title
Green Access Point Selection for Wireless Local Area Networks Enhanced by Cognitive Radio
Authors
Wendong Ge
Shanzhi Chen
Hong Ji
Xi Li
Victor C. M. Leung
Publication date
01-08-2013
Publisher
Springer US
Published in
Mobile Networks and Applications / Issue 4/2013
Print ISSN: 1383-469X
Electronic ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-013-0437-z

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