Authors: K.V. Shahnaz; C.K. Ali
Addresses: National Institute of Technology, Calicut Kerala, India, PIN: 673601 ' National Institute of Technology, Calicut Kerala, India, PIN: 673601
Abstract: Orthogonal frequency division multiplexing/space division multiple access (OFDM/SDMA), as a technique proposed for future high data-rate requirements, is capable of achieving higher user capacity. The error free detection of the transmitted data of the users poses many challenging issues. Alternatives are explored for optimum maximum likelihood (ML) aided detection due to its exponential complexity with the number of users and constellation size. Conventional detection techniques using zero forcing (ZF) and minimum mean square error (MMSE) are less complex with much poor performance. The possibility of nature-inspired meta-heuristic algorithms to detect the user data have been of great research interest these days. With these optimisation algorithms, we can obtain almost optimum results with much reduced computational complexity. In this paper, recently developed firefly algorithm (FA) has been utilised to detect the users' transmitted data and the result has been compared with genetic algorithm (GA) and particle swarm optimisation (PSO) aided data detection.
Keywords: orthogonal frequency division multiplexing; OFDM; space division multiple access; SDMA; multi-user detection; firefly algorithm; genetic algorithms; particle swarm optimisation; PSO; data detection.
International Journal of Reasoning-based Intelligent Systems, 2015 Vol.7 No.3/4, pp.325 - 329
Received: 04 Dec 2014
Accepted: 25 May 2015
Published online: 09 Nov 2015 *