Optimal and low-complexity algorithms for dynamic spectrum access in centralized cognitive radio networks with fading channels

IEEE Vehicular Technology Conference

Volumn , Issue , 2011, Pages

  Bkassiny, Mario ^a   Jayaweera, Sudharman K ^a   Li, Yang ^a   Avery, Keith A ^b  

^a University of New Mexico   (United States)

^b AIR FORCE RESEARCH LABORATORY   (United States)

Author keywords

Cognitive radio; Dynamic spectrum access (DSA); Hungarian algorithm; Partially observable markov decision processes (POMDP)

Indexed keywords

CHANNEL ASSIGNMENT; CHANNEL OCCUPANCY; CHANNEL SENSING; COGNITIVE RADIO; COGNITIVE RADIO NETWORK; COMPUTATIONAL TIME; DYNAMIC SPECTRUM ACCESS; DYNAMIC SPECTRUM ACCESS (DSA); ENERGY DETECTION; HUNGARIAN ALGORITHM; LINEAR ORDER; LOCAL SENSING; LOW-COMPLEXITY; MARKOVIAN; NEAR-OPTIMAL PERFORMANCE; OPTIMAL CHANNEL ASSIGNMENTS; OPTIMAL CHANNELS; PARTIALLY OBSERVABLE MARKOV DECISION PROCESS; POLYNOMIAL ORDER; PRIMARY SPECTRA; SECONDARY SYSTEM; SIMULATION RESULT; SPATIAL DIVERSITY; SPECTRUM SENSING; WHITE SPACE;

FADING (RADIO); FADING CHANNELS; HEURISTIC ALGORITHMS; LEARNING ALGORITHMS; MARKOV PROCESSES; MOBILE TELECOMMUNICATION SYSTEMS; OPTIMIZATION; SPECTROSCOPY;

RADIO;

EID: 80051999576     PISSN: 15502252     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VETECS.2011.5956336     Document Type: Conference Paper

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