Particle swarm optimization for resource allocation in OFDMA

Shahin Ghcitanchi, Falah Ali, Elias Stipidis

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

Abstract

Particle Swarm Optimization (FSO) is a wellknown 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.

Original languageEnglish
Title of host publication2007 15th International Conference on Digital Signal Processing, DSP 2007
Pages383-386
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2007
Event2007 15th International Conference onDigital Signal Processing, DSP 2007 - Wales, United Kingdom
Duration: 1 Jul 20074 Jul 2007

Conference

Conference2007 15th International Conference onDigital Signal Processing, DSP 2007
CountryUnited Kingdom
CityWales
Period1/07/074/07/07

Keywords

  • FSO
  • OFDMA
  • Sub-arrier allocation
  • Swarm intelligence

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  • Cite this

    Ghcitanchi, S., Ali, F., & Stipidis, E. (2007). Particle swarm optimization for resource allocation in OFDMA. In 2007 15th International Conference on Digital Signal Processing, DSP 2007 (pp. 383-386). [4288599] https://doi.org/10.1109/ICDSP.2007.4288599