End-to-end optimum ML detection for DF cooperative diversity networks in the presence of interference

IEEE Transactions on Wireless Communications

Volumn 14, Issue 5, 2015, Pages 2639-2654

  Lu, Tian ^a   Liu, Peng ^a   Kim, Il Min ^a   Chan, François ^b   Read, William ^c  

^a QUEEN S UNIVERSITY   (Canada)

^b ROYAL MILITARY COLLEGE OF CANADA   (Canada)

^c DEFENCE RESEARCH AND DEVELOPMENT CANADA   (Canada)

Author keywords

Cooperative diversity networks; decode andforward (DF); interference; optimum maximum likelihood (ML) detection

Indexed keywords

COMMUNICATION CHANNELS (INFORMATION THEORY); DECODING; MAXIMUM LIKELIHOOD; MOBILE TELECOMMUNICATION SYSTEMS; WAVE INTERFERENCE;

CONVENTIONAL SCHEMES; COOPERATIVE DIVERSITY NETWORKS; FULL DIVERSITY GAINS; INSTANTANEOUS CHANNEL STATE INFORMATIONS; INTERFERENCE TO NOISE RATIOS; MAXIMUM LIKELIHOOD DETECTORS; MAXIMUM-LIKELIHOOD DETECTION; MULTIPLE INTERFERERS;

CHANNEL STATE INFORMATION;

EID: 84929353088     PISSN: 15361276     EISSN: None     Source Type: Journal    
DOI: 10.1109/TWC.2015.2390227     Document Type: Article

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