Achieving Maximum-likelihood Detection Performance with Square-order Complexity in Large Quasi-Symmetric MIMO Systems-Reference-Cited by-同舟云学术

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Achieving Maximum-likelihood Detection Performance with Square-order Complexity in Large Quasi-Symmetric MIMO Systems

Published:2023-06-25 Issue: Volume: Page:
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Container-title:2023 IEEE International Symposium on Information Theory (ISIT)
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Author:

Liu Jiuyu¹,Ma Yi¹,Tafazolli Rahim¹

Affiliation:

1. University of Surrey,5GIC and 6GIC, Institute for Communication Systems,Guildford,UK,GU2 7XH

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10206429/10206441/10207002.pdf?arnumber=10207002

Reference40 articles.

1. Massive MIMO Detection Techniques: A Survey

2. BER Analysis and Optimization of Generalized Spatial Modulation in Correlated Fading Channels

3. Message-passing algorithms for compressed sensing;donoho;Proc Natl Acad Sci,2009

4. Randomized Iterative Methods for Low-Complexity Large-Scale MIMO Detection

5. Orthogonal AMP

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Alternative Normalized-Preconditioning for Scalable Iterative Large-MIMO Detection;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

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