Randomized Iterative Sampling Decoding Algorithm For Large-Scale MIMO Detection

In this paper, the paradigm of the traditional iterative decoding schemes for the uplink large-scale MIMO detection is extended by sampling in an Markov chain Monte Carlo (MCMC) way. Different from iterative decoding whose performance is upper bounded by the suboptimal linear decoding scheme like ZF...

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Vydané v:	IEEE transactions on signal processing Ročník 72; s. 1 - 14
Hlavní autori:	Wang, Zheng, Xia, Yili, Ling, Cong, Huang, Yongming
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.01.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Convergence Iterative decoding iterative methods Jacobian matrices Large-scale MIMO detection Markov analysis Markov chains Markov processes massive MIMO detection Maximum likelihood decoding MCMC MIMO communication Performance enhancement Random sampling sampling decoding Signal processing algorithms
ISSN:	1053-587X, 1941-0476
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