PSO-Based Joint UAV Positioning and Hybrid Precoding in UAV-Assisted Massive MIMO Systems
Author:
Affiliation:
1. McGill University,Department of Electrical and Computer Engineering,Montreal,QC,Canada
Funder
Huawei Technologies
Natural Sciences and Engineering Research Council of Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10012685/10012692/10013077.pdf?arnumber=10013077
Reference26 articles.
1. Spatially Sparse Precoding in Millimeter Wave MIMO Systems
2. Alternating Minimization Algorithms for Hybrid Precoding in Millimeter Wave MIMO Systems
3. 3D Angular-Based Hybrid Precoding and User Grouping for Uniform Rectangular Arrays in Massive MU-MIMO Systems
4. Hybrid Beamforming for Massive MIMO: A Survey
5. Joint User Association and UAV Location Optimization for UAV-Aided Communications
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2. UAV-Assisted Enhanced Coverage and Capacity in Dynamic MU-mMIMO IoT Systems: A Deep Reinforcement Learning Approach;2024 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit);2024-06-03
3. The Role of Machine Learning in UAV-Assisted Communication;Advances in Computational Intelligence and Robotics;2024-01-17
4. DDPG-Based Optimization for Zero-Forcing Transmission in UAV-Relay Massive MIMO Networks;IEEE Open Journal of the Communications Society;2024
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