Title :
An ACO Algorithm for Sum-Rate Maximization Problem in Opportunistic Spectrum Allocation
Author :
Wei Fei ; Yang Zhen
Author_Institution :
Dept. of signal & Inf. Process., Nanjing Univ. of Posts & Telecommun., Nanjing
Abstract :
A major problem of opportunistic spectrum allocation is how to maximize spectrum utilization given a bunch of available channels, i.e. sum-rate maximization problem, which is considered as a combinatorial optimization problem in our paper. ant colony optimization (ACO) is a well-known metaheuristic in which a colony of ants cooperate in exploring good solutions to a combinatorial optimization problem. In this paper, we present an MMAS algorithm for maximizing spectrum utilization based on ACO. Experimental results show improvements over existing algorithms for the sum-rate maximization problem in opportunistic spectrum allocation.
Keywords :
optimisation; spread spectrum communication; ACO algorithm; MMAS algorithm; ant colony optimization; combinatorial optimization problem; maximum-minimum ant system; opportunistic spectrum allocation; spectrum utilization; sum-rate maximization problem; Ant colony optimization; Attenuation; Channel capacity; Chromium; Cognitive radio; Information processing; Interference constraints; Internet; Protection; Signal processing;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
DOI :
10.1109/WiCom.2008.322