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Blind adaptive multiuser detection

IEEE Transactions on Information Theory, 1995
This paper introduces an adaptive multiuser detector which converges (for any initialization) to the minimum mean-square error detector without requiring training sequences. This blind multiuser detector requires no more knowledge than does the conventional single-user receiver: the desired user's signature waveform and its timing.
M. Honig, Upamanyu Madhow, S. Verdú
exaly   +4 more sources

Multiuser detection:

Annales Des Télécommunications, 1999
B. Fino
semanticscholar   +2 more sources

Bayesian Learning Based Multiuser Detection for Grant-Free NOMA Systems

IEEE Transactions on Wireless Communications, 2022
Grant-Free Non-Orthogonal Multiple Access (GF-NOMA) is considered as a promising technology to support the massive connectivity of Machine-Type Communications (MTC).
Xiaoxu Zhang, P. Fan, Jiaqi Liu, L. Hao
semanticscholar   +1 more source

Orthogonal multiuser detection

Signal Processing, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yonina C Eldar
exaly   +2 more sources

Turbo multiuser detection: A primer

open access: yesJournal of Communications and Networks, 2001
Turbo multiuser detection refers to joint channel decoding and multiuser detection using an iterative exchange of soft information between the two processes. This technique, which offers an attractive combination of low complexity and near-optimal performance, has been examined by several authors in recent years with very promising results.
H Vincent Poor
exaly   +2 more sources

Joint Channel Estimation and Multiuser Detection for Uplink Grant-Free NOMA

IEEE Wireless Communications Letters, 2018
Grant-free non-orthogonal multiple access is an emerging research topic in machine-type communications, which is used to reduce signaling overhead. In this context, this letter introduces a novel joint channel estimation (CE) and multiuser detection (MUD)
Yang Du   +6 more
semanticscholar   +1 more source

Blind Multiuser Detection in Massive MIMO Channels With Clustered Sparsity

IEEE Wireless Communications Letters, 2019
In this letter, we propose a blind multiuser detection algorithm for massive MIMO systems equipped with a uniform planar antenna array. We model the channel in the angular domain as a sparse matrix with the non-zero coefficients forming clusters.
Lei Chen, Xiaojun Yuan
semanticscholar   +1 more source

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