An Efficient Bayesian PAPR Reduction Method for OFDM-Based Massive MIMO Systems

IEEE Transactions on Wireless Communications

Volumn 15, Issue 6, 2016, Pages 4183-4195

  Bao, Hengyao ^a   Fang, Jun ^a   Chen, Zhi ^a   Li, Hongbin ^b   Li, Shaoqian ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b Stevens Institute of Technology   (United States)

Author keywords

GAMP; Massive MIMO OFDM; PAPR reduction; variational EM

Indexed keywords

BAYESIAN NETWORKS; CHANNEL ESTIMATION; COMPUTATIONAL COMPLEXITY; CONVEX OPTIMIZATION; DEGREES OF FREEDOM (MECHANICS); FREQUENCY DIVISION MULTIPLEXING; LOCAL AREA NETWORKS; MAXIMUM PRINCIPLE; MESSAGE PASSING; MIMO SYSTEMS; OPTIMIZATION; TRELLIS CODES;

BAYESIAN APPROACHES; EXPECTATION MAXIMIZATION; GAMP; MIMO-OFDM; MULTI-USER INTERFERENCE; PAPR REDUCTION; PEAK-TO-AVERAGE POWER RATIO REDUCTIONS; VARIATIONAL EM;

ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING;

EID: 84976273965     PISSN: 15361276     EISSN: None     Source Type: Journal    
DOI: 10.1109/TWC.2016.2536662     Document Type: Article

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