Stochastic resource allocation for cognitive radio networks based on imperfect state information

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2011, Pages 3196-3199

  Marques, Antonio G ^a   Giannakis, Georgios B ^b   Lopez Ramos, Luis M ^a   Ramos, Javier ^a  

^a UNIVERSIDAD REY JUAN CARLOS   (Spain)

^b University of Minnesota   (United States)

Author keywords

Cognitive radio; imperfect channel state information; resource management; stochastic approximation

Indexed keywords

ADAPTIVE RESOURCE ALLOCATIONS; AVERAGE POWER; COGNITIVE RADIO; COGNITIVE RADIO NETWORK; EFFICIENT DESIGNS; IMPERFECT CHANNEL STATE INFORMATION; NETWORK STATE; OPTIMAL SCHEME; RESOURCE ALLOCATION ALGORITHMS; RESOURCE MANAGEMENT; SECONDARY NETWORKS; STATE INFORMATION; STOCHASTIC APPROXIMATIONS; SUM-RATE;

APPROXIMATION ALGORITHMS; APPROXIMATION THEORY; CHANNEL STATE INFORMATION; COMPUTER RESOURCE MANAGEMENT; CONFERENCE CALLS; LAGRANGE MULTIPLIERS; RESOURCE ALLOCATION; SPEECH COMMUNICATION; STOCHASTIC SYSTEMS;

RADIO;

EID: 80051640923     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2011.5946701     Document Type: Conference Paper

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