A Tabu Search DSA algorithm for reward maximization in cellular networks

Hany Kamal, Marceau Coupechoux, Philippe Godlewski

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

Abstract

In this paper, we present and analyze a Tabu Search (TS) algorithm for DSA (Dynamic Spectrum Access) in cellular networks. We study a mono-operator case where the operator is providing packet services to the end-users. The objective of the cellular operator is to maximize its reward while taking into account the trade-off between the spectrum cost and the revenues obtained from end-users. These revenue are modeled here as an increasing function of the achieved throughput. Results show that the algorithm allows the operator to increase its reward by taking advantage of the spatial heterogeneity of the traffic in the network, rather than assuming homogeneous traffic for radio resource allocation. Our TS-based DSA algorithm is efficient in terms of the required memory space and convergence speed. Results show that the algorithm is fast enough to suit a dynamic context.

Original languageEnglish
Title of host publication2010 IEEE 6th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob'2010
Pages40-45
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2010
Externally publishedYes
Event6th Annual IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob'2010 - Niagara Falls, ON, Canada
Duration: 11 Oct 201013 Oct 2010

Publication series

Name2010 IEEE 6th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob'2010

Conference

Conference6th Annual IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob'2010
Country/TerritoryCanada
CityNiagara Falls, ON
Period11/10/1013/10/10

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