IRS-Assisted Millimeter-wave Massive MIMO with Transmit Antenna Selection for IoT Networks
Author:
Affiliation:
1. University of Tripoli,Department of Electrical and Electronic Engineering,Libya
2. Manchester Metropolitan University,Department of Engineering,United Kingdom
3. Nazarbayev University,School of Engineering and Digital Sciences,Kazakhstan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10199114/10199145/10199562.pdf?arnumber=10199562
Reference27 articles.
1. Capacity Characterization for Intelligent Reflecting Surface Aided MIMO Communication
2. A New Wireless Communication Paradigm through Software-Controlled Metasurfaces
3. Transmit antenna selection for spatial modulation MIMO IoT networks with full-duplex relaying
4. Massive MIMO for Internet of Things (IoT) connectivity
5. Intelligent Reflecting Surface-Assisted Millimeter Wave Communications: Joint Active and Passive Precoding Design
Cited by 2 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. Millimeter Wave Beamforming for Massive MIMO in 6G Communication Systems;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29
2. Physical Layer Security for IRS-UAV-Assisted Cell-Free Massive MIMO Systems;IEEE Access;2024
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