Performance evaluation of artificial neural network-based learning schemes for cognitive radio systems

Computers and Electrical Engineering

Volumn 36, Issue 3, 2010, Pages 518-535

  Katidiotis, A ^a   Tsagkaris, K ^a   Demestichas, P ^a  

^a UNIVERSITY OF PIRAEUS   (Greece)

Author keywords

Artificial neural networks; Cognition cycle; Cognitive radio; Learning; Radio configuration

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CARRIER FREQUENCY; COGNITION CYCLE; COGNITIVE RADIO; COMMERCIAL OFF THE SHELVES; DATA RATES; EMERGING TECHNOLOGIES; HARDWARE/SOFTWARE; INNOVATIVE TECHNOLOGY; INTELLIGENT MANAGEMENT; INTELLIGENT SOFTWARE; INTERNATIONAL RESEARCHES; LEARNING MECHANISM; LEARNING SCHEMES; NEURAL NETWORK STRUCTURES; OPERATING PARAMETERS; OPERATIONAL STATE; PERFORMANCE ASSESSMENT; PERFORMANCE EVALUATION; RADIO ACCESS TECHNOLOGIES; RADIO CONFIGURATIONS; RADIO ENVIRONMENT; RADIO SPECTRA; SCARCE RESOURCES; SOFTWARE DEFINED RADIO TECHNOLOGIES; SOFTWARE-DEFINED RADIOS; WIRELESS COMMUNICATIONS;

AD HOC NETWORKS; COGNITIVE SYSTEMS; COMPUTER SIMULATION; COMPUTER SOFTWARE; MESH NETWORKING; NEURAL NETWORKS; RADIO SYSTEMS; TECHNOLOGY; WIMAX; WIRELESS LOCAL AREA NETWORKS (WLAN);

RADIO;

EID: 77950628414     PISSN: 00457906     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compeleceng.2009.12.005     Document Type: Article

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