About: WiMAX Parameters Adaptation Through A Baseband Processor Using Discrete Particle Swarm Method     Goto   Sponge   NotDistinct   Permalink

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  • The measurements of physical level parameters can become the area where decisions about cognitive radio will have the most striking effect. 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. WiMAX PHY-layer functions will be managed cognitively by a FPGA based controller to optimise the performance of the system. Instead of simple bit loading methods, the global multi-criteria optimisation promise possibility to adapt more parameters with respect to several objectives. In this paper the application of particle swarm optimisation to fixed WiMAX-OFDM parameter adaptation is presented and compared with the greedy bit loading algorithm.
  • The measurements of physical level parameters can become the area where decisions about cognitive radio will have the most striking effect. 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. WiMAX PHY-layer functions will be managed cognitively by a FPGA based controller to optimise the performance of the system. Instead of simple bit loading methods, the global multi-criteria optimisation promise possibility to adapt more parameters with respect to several objectives. In this paper the application of particle swarm optimisation to fixed WiMAX-OFDM parameter adaptation is presented and compared with the greedy bit loading algorithm. (en)
Title
  • WiMAX Parameters Adaptation Through A Baseband Processor Using Discrete Particle Swarm Method
  • WiMAX Parameters Adaptation Through A Baseband Processor Using Discrete Particle Swarm Method (en)
skos:prefLabel
  • WiMAX Parameters Adaptation Through A Baseband Processor Using Discrete Particle Swarm Method
  • WiMAX Parameters Adaptation Through A Baseband Processor Using Discrete Particle Swarm Method (en)
skos:notation
  • RIV/00216305:26220/10:PU85421!RIV11-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/09/0776), P(GD102/08/H027), P(OC09016), S, Z(MSM0021630513)
http://linked.open...iv/cisloPeriodika
  • 2
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 298840
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/10:PU85421
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • WiMAX, Cognitive Radio, Particle Swarm Optimisation, PSO (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV
  • [3C4B31234237]
http://linked.open...i/riv/nazevZdroje
  • International Journal of Microwave and Wireless Technologies
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 2010 (2)
http://linked.open...iv/tvurceVysledku
  • Maršálek, Roman
  • Povalač, Karel
  • Adams, Chris
  • Al-Sherbaz, Ali
  • Kuseler, Torben
http://linked.open...n/vavai/riv/zamer
issn
  • 1759-0787
number of pages
http://localhost/t...ganizacniJednotka
  • 26220
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