Multiuser Scheduling to Improve Iterative Interference Replica Subtraction with Partial Zeroization for Massive MIMO Systems-Reference-Cited by-同舟云学术

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Multiuser Scheduling to Improve Iterative Interference Replica Subtraction with Partial Zeroization for Massive MIMO Systems

Published:2023-10-19 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Advanced Technologies for Communications (ATC)
language:
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Author:

Suzuki Takuto¹,Berra Salah²,Maruta Kazuki¹,Muta Osamu³

Affiliation:

1. Tokyo University of Science,Graduate School of Engineering,Department of Electrical Engineering,Tokyo,Japan

2. COPELABS, Universidade Lusófona de Humanidades e Tecnologias,Lisboa,Portugal

3. Kyushu University,Center for Japan-Egypt Cooperation in Science and Technology,Fukuoka,Japan

Funder

Telecommunications Advancement Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10318513/10318514/10318876.pdf?arnumber=10318876

Reference15 articles.

1. Improving Iterative Interference Replica Subtraction based Precoding for Massive MIMO Systems by Partial Zeroization

2. Capacity-approaching linear precoding with low-complexity for large-scale MIMO systems

3. Null-Space Expansion for Multiuser Massive MIMO Inter-User Interference Suppression in Time Varying Channels

4. Correlation-based user scheduling and multi-planar parallelogram array for Massive antenna systems

5. Experimental Investigation of Space Division Multiplexing on Massive Antenna Systems for Wireless Entrance

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. Time-Series-Aware User Scheduling for Multi-user Massive MIMO Null-Space Expansion;2024 IEEE International Conference on Communications Workshops (ICC Workshops);2024-06-09

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