Evolutionary algorithms for radio resource management in cognitive radio network

Author

Waheed, Muhammad ; Cai, Anni

Author_Institution

Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China

fYear

2009

fDate

14-16 Dec. 2009

Firstpage

431

Lastpage

436

Abstract

Cognitive radio (CR) technology employing dynamic spectrum access (DSA) improves spectrum utilization by exploiting its unused portions and provides a solution to the apparent spectrum scarcity problem. In this paper we present binary particle swarm optimization (BPSO) and genetic algorithm (GA) for radio resource management (RRM) in OFDMA-based cognitive radio network (CRN). The simulation results show that BPSO-based RRM performs better than GA.

Keywords

cognitive radio; genetic algorithms; particle swarm optimisation; radio spectrum management; OFDMA; binary particle swarm optimization; cognitive radio network; dynamic spectrum access; evolutionary algorithms; genetic algorithm; radio resource management; Bandwidth; Chromium; Cognitive radio; Evolutionary computation; Genetic algorithms; Interference; OFDM; Particle swarm optimization; Resource management; Wireless communication; cognitive radio; evolutionary algorithms; orthogonal frequency division multiplexing; radio resource management;

fLanguage

English

Publisher

ieee

Conference_Titel

Performance Computing and Communications Conference (IPCCC), 2009 IEEE 28th International

Conference_Location

Scottsdale, AZ

ISSN

1097-2641

Print_ISBN

978-1-4244-5737-3

Type

conf

DOI

10.1109/PCCC.2009.5403851

Filename

5403851