Title :
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
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;
Conference_Titel :
Performance Computing and Communications Conference (IPCCC), 2009 IEEE 28th International
Conference_Location :
Scottsdale, AZ
Print_ISBN :
978-1-4244-5737-3
DOI :
10.1109/PCCC.2009.5403851
