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WiMAX parameters adaptation through a baseband processor using discrete particle swarm method

Published online by Cambridge University Press:  27 April 2010

Ali Al-Sherbaz ,
Torben Kuseler ,
Chris Adams ,
Roman Marsalek  and
Karel Povalac
Ali Al-Sherbaz*
Affiliation:
Applied Computing Department, The University of Buckingham, Hunter Street, Buckingham MK18 1EG, UK.
Torben Kuseler
Affiliation:
Applied Computing Department, The University of Buckingham, Hunter Street, Buckingham MK18 1EG, UK.
Chris Adams
Affiliation:
Applied Computing Department, The University of Buckingham, Hunter Street, Buckingham MK18 1EG, UK.
Roman Marsalek*
Affiliation:
Department of Radio Electronics, Brno University of Technology, Purkynova 118, Brno 612 00, Czech Republic.
Karel Povalac
Affiliation:
Department of Radio Electronics, Brno University of Technology, Purkynova 118, Brno 612 00, Czech Republic.
*
Corresponding authors: Ali Al-Sherbaz and R. Marsalek Emails: ali.al-sherbaz@buckingham.ac.uk and marsaler@feec.vutbr.cz
Corresponding authors: Ali Al-Sherbaz and R. Marsalek Emails: ali.al-sherbaz@buckingham.ac.uk and marsaler@feec.vutbr.cz
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Abstract

The measurements of physical level parameters can become the area where decisions about cognitive radio will have the most striking effect. Field-programmable gate array (FPGA) enables real-time analyses of physical layer data to satisfy constraints like dynamic spectrum allocations, data throughput, and the coding rate. Cognitive radio will be based on simple network management techniques, using remote procedure calls. Intelligent knowledge-base system (IKBS) techniques will be used to search the parameter space in selecting changes to the system. Worldwide Interoperability for Microwave Access (WiMAX) PHY-layer functions will be managed cognitively by a FPGA-based controller to optimize the performance of the system. Instead of simple bit loading methods, the global multi-criteria optimization promise possibility to adapt more parameters with respect to several objectives. In this paper, the application of particle swarm optimization to fixed WiMAX-OFDM (Orthogonal Frequency Division Multiplexing) parameter adaptation is presented and compared with the greedy bit loading algorithm.

Keywords

WiMAXCognitive radioParticle swarm optimization (PSO)
Type
Original Article
Information
International Journal of Microwave and Wireless Technologies , Volume 2 , Issue 2 , April 2010 , pp. 165 - 171
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2010

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References

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