Nonconvex dynamic spectrum allocation for cognitive radio networks via particle swarm optimization and simulated annealing

Computer Networks

Volumn 56, Issue 11, 2012, Pages 2690-2699

  Tang, Meiqin ^a   Long, Chengnian ^b   Guan, Xinping ^b   Wei, Xinjiang ^a  

^a LUDONG UNIVERSITY   (China)

^b SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Cognitive radio; Dynamic spectrum allocation; Nonconvex optimization; PSO; SA

Indexed keywords

BROADBAND ACCESS; COGNITIVE RADIO NETWORK; DYNAMIC SPECTRUM ACCESS; DYNAMIC SPECTRUM ALLOCATIONS; GROWING DEMAND; HIGH THROUGHPUT; IMPROVED PARTICLE SWARM OPTIMIZATION; INDIVIDUAL COMPONENTS; LOW-LATENCY COMMUNICATION; NETWORK RESOURCE; NETWORK UTILITY MAXIMIZATION; NONCONVEX; NONCONVEX OPTIMIZATION; NONCONVEX OPTIMIZATION PROBLEM; OBJECTIVE FUNCTIONS; OPTIMIZATION PROBLEMS; PSO; SA;

ALGORITHMS; PARTICLE SWARM OPTIMIZATION (PSO); RADIO SYSTEMS; SIMULATED ANNEALING;

COGNITIVE RADIO;

EID: 84863327985     PISSN: 13891286     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.comnet.2012.04.012     Document Type: Article

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