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Particle Swarm Optimization for Resource Allocation in OFDMA
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.
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Publication status
- Published
Publisher
IEEEExternal DOI
Pages
4.0Presentation Type
- paper
Event name
15th International Conference on Digital Signal Processing (DSP 2007)Event location
Cardiff University, Wales, UK.Event type
conferenceISBN
9781424408825Department affiliated with
- Engineering and Design Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2012-02-06Usage metrics
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