An Improved Dropping Algorithm for Line-of-Sight Massive MIMO With Max-Min Power Control-Reference-Cited by-同舟云学术

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An Improved Dropping Algorithm for Line-of-Sight Massive MIMO With Max-Min Power Control

Published:2019-06 Issue:6 Volume:23 Page:1109-1112
ISSN:1089-7798
Container-title:IEEE Communications Letters
language:
Short-container-title:IEEE Commun. Lett.

Author:

Farsaei A.^ORCID,Alvarado A.^ORCID,Willems F. M. J.^ORCID,Gustavsson U.^ORCID

Funder

European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/4234/8733945/08695106.pdf?arnumber=8695106

Cited by 10 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. Low-Complexity Variational Bayesian Inference Based Groupwise Detection for Massive MIMO Uplinks;IEEE Transactions on Wireless Communications;2023-12

2. Sparse Array Synthesis Including Mutual Coupling for MU-MIMO Average Capacity Maximization;IEEE Transactions on Antennas and Propagation;2022-08

3. Fading-ratio-based selection for massive MIMO systems under line-of-sight propagation;Wireless Networks;2022-07-23

4. An Optimization-Based User Scheduling Framework for mmWave Massive MU-MIMO Systems;2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC);2022-07-04

5. User Selection for Massive MIMO under Line-of-Sight Propagation;IEEE Open Journal of the Communications Society;2022

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