LiDAR Aided Future Beam Prediction in Real-World Millimeter Wave V2I Communications
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DOI: 10.1109/lwc.2022.3219409
Abstract: This letter presents the first large-scale real-world evaluation for using LiDAR data to guide the mmWave beam prediction task. A machine learning (ML) model that leverages LiDAR sensory data to predict the current and future… read more here.
Keywords: beam; beam prediction; real world; lidar aided ... See more keywords
How to Define the Propagation Environment Semantics and Its Application in Scatterer-Based Beam Prediction
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DOI: 10.1109/lwc.2023.3237827
Abstract: In view of the propagation environment directly determining the channel properties, the applications can also be solved with the aid of environmental information. Inspired by task-oriented semantic communication and machine learning (ML) powered environment-channel mapping… read more here.
Keywords: semantics; beam prediction; environment; environment semantics ... See more keywords
Learning-Aided Beam Prediction in mmWave MU-MIMO Systems for High-Speed Railway
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DOI: 10.1109/tcomm.2021.3124963
Abstract: The problem of beam alignment and tracking in high mobility scenarios such as high-speed railway(HSR) becomes extremely challenging, since large overhead cost and significant time delay are introduced for fast time-varying channel estimation. To tackle… read more here.
Keywords: beam; time; high speed; beam prediction ... See more keywords
Meta-Learning for Beam Prediction in a Dual-Band Communication System
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2022.3223066
Abstract: Large antenna arrays and beamforming are necessary for the mmWave communication system, resulting in heavy time and energy consumption in the beam training stage. Therefore, dual-band operations are expected to be deployed in future communication… read more here.
Keywords: meta learning; beam prediction; communication; beam ... See more keywords