A new approach for sparse Bayesian channel estimation in SCMA uplink systems

2016 8th International Conference on Wireless Communications and Signal Processing, WCSP 2016

Volumn , Issue , 2016, Pages

  Struminsky, Kirill ^a   Kruglik, Stanislav ^b,c,d   Vetrov, Dmitry ^a,b   Oseledets, Ivan ^b  

^a NATIONAL RESEARCH UNIVERSITY HIGHER SCHOOL OF ECONOMICS   (Russian Federation)

^b Russian Federation   (Russian Federation)

^c INSTITUTE FOR INFORMATION TRANSMISSION PROBLEMS   (Russian Federation)

^d MOSCOW INSTITUTE OF PHYSICS AND TECHNOLOGY   (Russian Federation)

Author keywords

5G; active user detection; channel estimation; SCMA; sparse Bayesian learning

Indexed keywords

SIGNAL PROCESSING; WIRELESS NETWORKS; WIRELESS TELECOMMUNICATION SYSTEMS;

CHANNEL ESTIMATION ALGORITHMS; FASTER CONVERGENCE; LINK-LEVEL PERFORMANCE; MULTIPLE ACCESS; SCMA; SPARSE BAYESIAN; SPARSE BAYESIAN LEARNING; USER DETECTION;

CHANNEL ESTIMATION;

EID: 85006784127     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCSP.2016.7752678     Document Type: Conference Paper

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