Detail publikace

WiMAX Parameters Adaptation Through A Baseband Processor Using Discrete Particle Swarm Method

AL-SHERBAZ, A. KUSELER, T. ADAMS, C. MARŠÁLEK, R. POVALAČ, K.

Originální název

WiMAX Parameters Adaptation Through A Baseband Processor Using Discrete Particle Swarm Method

Anglický název

WiMAX Parameters Adaptation Through A Baseband Processor Using Discrete Particle Swarm Method

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

BibTex


@article{BUT47686,
  author="Ali {Al-Sherbaz} and Torben {Kuseler} and Chris {Adams} and Roman {Maršálek} and Karel {Povalač}",
  title="WiMAX Parameters Adaptation Through A Baseband Processor Using Discrete Particle Swarm Method",
  annote="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.",
  chapter="47686",
  journal="International Journal of Microwave and Wireless Technologies",
  number="2",
  volume="2010 (2)",
  year="2010",
  month="april",
  pages="165--171",
  type="journal article - other"
}