Particle Swarm with Soft Decision for Multiuser Detection of Synchronous Multicarrier CDMA
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概要
- 論文の詳細を見る
The computation involved in multiuser detection (MUD) for multicarrier CDMA (MC-CDMA) based on maximum likelihood (ML) principle grows exponentially with the number of users. Particle swarm optimization (PSO) with soft decisions has been proposed to mitigate this problem. The computational complexity of PSO, is comparable with genetic algorithm (GA), but is much less than the optimal ML detector and yet its performance is much better than GA.
- （社）電子情報通信学会の論文
- 2008-05-01
著者
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Zubair Muhammad
Department Of Electronic Engineering International Islamic University
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QURESHI Ijaz
Muhammad Ali Jinnah University
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Qureshi Ijaz
Center Of Intelligent Systems Engineering Iiui
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Qureshi Ijaz
Center Of Intelligent Systems Engineering
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ZUBAIR Muhammad
Center of Intelligent Systems Engineering
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NAVEED Aqdas
Center of Intelligent Systems Engineering
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Naveed Aqdas
Center Of Intelligent Systems Engineering Iiui
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CHOUDHRY A.
Department of Electrical Engineering, Air University
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Choudhry A.
Department Of Electrical Engineering Air University
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