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

Ali Al-Sherbaz, Torben Kuseler, Chris Adams, Roman Marsalek, Karel Povalac

Research output: Contribution to journalArticle

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
Original languageEnglish
JournalInternational Journal of Microwave and Wireless Technologies
Volume2
Issue number2
DOIs
Publication statusE-pub ahead of print - 27 Apr 2010

Fingerprint

Cognitive radio
Orthogonal frequency division multiplexing
Field programmable gate arrays (FPGA)
Wimax
Network management
Particle swarm optimization (PSO)
Throughput
Controllers

Keywords

  • WiMAM
  • WiMAX-OFDM
  • cognitive radio
  • discrete particle swarm method

Cite this

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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",
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WiMAX parameters adaptation through a baseband processor using discrete particle swarm method. / Al-Sherbaz, Ali; Kuseler, Torben; Adams, Chris; Marsalek, Roman; Povalac, Karel.

In: International Journal of Microwave and Wireless Technologies, Vol. 2, No. 2, 27.04.2010.

Research output: Contribution to journalArticle

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