Quantum Approximate Optimization Algorithm for Maximum Likelihood Detection in Massive MIMO-Reference-Cited by-同舟云学术

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Quantum Approximate Optimization Algorithm for Maximum Likelihood Detection in Massive MIMO

Published:2024-04-21 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE Wireless Communications and Networking Conference (WCNC)
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Author:

Liu Yuxiang¹,Meng Fanxu²,Li Zetong³,Yu Xutao³,Zhang Zaichen¹

Affiliation:

1. Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096

2. College of Artificial Intelligence, Nanjing Tech University,Nanjing,China,211800

3. Southeast University,State Key Laboratory of Millimeter Waves,Nanjing,China,210096

Funder

NSFC projects

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10570463/10570502/10571165.pdf?arnumber=10571165

Reference28 articles.

1. An Overview of Massive MIMO: Benefits and Challenges

2. VLSI implementation of MIMO detection using the sphere decoding algorithm

3. Performance analysis of maximum likelihood detection in a MIMO antenna system

4. Quasi-maximum-likelihood multiuser detection using semi-definite relaxation with application to synchronous CDMA

5. On maximum-likelihood detection and the search for the closest lattice point

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