2022
DOI: 10.1109/tcomm.2022.3207813
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Constrained Capacity Optimal Generalized Multi-User MIMO: A Theoretical and Practical Framework

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Cited by 17 publications
(3 citation statements)
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“…SSE provides a neat way of pooling the resources of users together such that the overall error performance of all the users is improved while still meeting the low latency requirements of URLLC communication. Prob(atleast one user in error) 5) Coded multi-user communication using SPARC: AMP and OAMP/VAMP have been used in multi-user (MU) MIMO schemes, in conjunction with properly designed forward error control codes (FEC) to achieve constrained capacity [45], [46]. Other techniques such as coded compressed sensing techniques have been proposed that can work with MU single antenna systems [47], [48].…”
Section: Comparison With Existing Codesmentioning
confidence: 99%
“…SSE provides a neat way of pooling the resources of users together such that the overall error performance of all the users is improved while still meeting the low latency requirements of URLLC communication. Prob(atleast one user in error) 5) Coded multi-user communication using SPARC: AMP and OAMP/VAMP have been used in multi-user (MU) MIMO schemes, in conjunction with properly designed forward error control codes (FEC) to achieve constrained capacity [45], [46]. Other techniques such as coded compressed sensing techniques have been proposed that can work with MU single antenna systems [47], [48].…”
Section: Comparison With Existing Codesmentioning
confidence: 99%
“…Even when functionality at the receiver is split into the roles of MUD and single user decoding, using an optimal multiuser detector is still computationally costly. For this reason, using suboptimal detectors is common in iterative systems, which incurs a performance loss in terms of possible system load, output bit error rate (BER) and speed to convergence [18,19]. The tables of symbols and acronyms are given in Tables 1 and 2.…”
Section: Introductionmentioning
confidence: 99%
“…Multiple-input multiple-output (MIMO) systems have emerged as an essential technology expected to deliver significant performance enhancements in 6G by leveraging spatial diversity and multiplexing gains [3]. Thus, the MIMO techniques have been applied to the various communication systems, such as massive MIMO systems [4]- [6], multiuser MIMO (MU-MIMO) systems [7]- [10], and cell-free MIMO systems [11]- [14]. These MIMO systems have shown noticeable performance improvement in spectral and energy efficiency.…”
Section: Introductionmentioning
confidence: 99%