Simultaneous Beam and User Selection for the Beamspace mmWave/THz Massive MIMO Downlink
Author:
Affiliation:
1. Global Big Data Technologies Centre, University of Technology Sydney, Sydney, NSW, Australia
2. Department of Electronics and Computer Science, University of Southampton, Southampton, U.K.
Funder
Australian Research Council under the Discovery Project
Engineering and Physical Sciences Research Council
European Research Council’s Advanced Fellow Grant QuantCom
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/26/10073971/10021613.pdf?arnumber=10021613
Reference31 articles.
1. Beamspace Channel Estimation in mmWave Systems via Cosparse Image Reconstruction Technique
2. Wideband Beamspace Channel Estimation for Millimeter-Wave MIMO Systems Relying on Lens Antenna Arrays
3. Low RF-Complexity Millimeter-Wave Beamspace-MIMO Systems by Beam Selection
4. Near-Optimal Beam Selection for Beamspace MmWave Massive MIMO Systems
5. Maximizing the Geometric Mean of User-Rates to Improve Rate-Fairness: Proper vs. Improper Gaussian Signaling
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3. Low-complexity Beam Selection for Intelligent Reflecting Surface-aided Millimeter-wave Systems with Lens Antenna Array;2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall);2023-10-10
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