Particle Swarm Optimization for Resource Allocation in OFDMA

Gheitanchi, S, Ali, F and Stipidis, E (2007) Particle Swarm Optimization for Resource Allocation in OFDMA. In: 15th International Conference on Digital Signal Processing (DSP 2007), Cardiff University, Wales, UK..

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Particle Swarm Optimization (PSO) is a well-known technique in Artificial Intelligence (AI) for n-dimensional optimization problems. In this paper we extend the application of PSO to physical layer of communication systems and propose a simple target-customized PSO algorithm that could be used in centralized iterative optimization techniques. It is applied here for the sub-carrier allocation in OFDMA and shown that to significantly reduce the computation complexity and increases the flexibility compared with conventional techniques.

Item Type: Conference or Workshop Item (Paper)
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Depositing User: Shahin Gheitanchi
Date Deposited: 06 Feb 2012 19:27
Last Modified: 11 Apr 2012 11:17
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