Efficient Millimeter-Wave Beam Prediction: A Wi-Fi Sensing-Assisted Deep Learning Approach
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2024.3476346
Abstract: With the development of 5G and future 6G communication technology, millimeter-wave communication (MMWC) has attracted widespread attention because it can provide a wide frequency band and high data transmission rate. However, the effective application of… read more here.
Keywords: deep learning; prediction; beam prediction; millimeter wave ... See more keywords
LiDAR Aided Future Beam Prediction in Real-World Millimeter Wave V2I Communications
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Wireless Communications Letters"
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
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Wireless Communications Letters"
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
Robust Multimodal Beam Prediction With Missing Modality
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2025.3591611
Abstract: Utilizing deep learning to fuse multimodal data for millimeter-wave beam prediction can achieve significant performance improvement compared to the conventional unimodal approaches. However, current multimodal learning approaches highly rely on the availability of full modalities,… read more here.
Keywords: beam prediction; multimodal; missing modality;
Learning-Aided Beam Prediction in mmWave MU-MIMO Systems for High-Speed Railway
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Communications"
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
Deep Learning Assisted mmWave Beam Prediction With Flexible Network Architecture
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2025.3573327
Abstract: Benefiting from a large amount of unallocated bandwidth, millimeter-wave (mmWave) communications have been regarded as one of the most promising technologies. To overcome high pathloss of mmWave signals, the beamforming technique plays a fundamental role.… read more here.
Keywords: deep learning; beam; flexible network; prediction ... See more keywords