mlsanityData to 14 Oct 2026

A Survey of Beam Management for mmWave and THz Communications Towards 6G

arXiv 2308.02135 ↗First posted 4 Aug 2023cs.IT cs.SY eess.SYcited by 21

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Abstract (arXiv)

Communication in millimeter wave (mmWave) and even terahertz (THz) frequency bands is ushering in a new era of wireless communications. Beam management, namely initial access and beam tracking, has been recognized as an essential technique to ensure robust mmWave/THz communications, especially for mobile scenarios. However, narrow beams at higher carrier frequency lead to huge beam measurement overhead, which has a negative impact on beam acquisition and tracking. In addition, the beam management process is further complicated by the fluctuation of mmWave/THz channels, the random movement patterns of users, and the dynamic changes in the environment. For mmWave and THz communications toward 6G, we have witnessed a substantial increase in research and industrial attention on artificial intelligence (AI), reconfigurable intelligent surface (RIS), and integrated sensing and communications (ISAC). The introduction of these enabling technologies presents both open opportunities and unique challenges for beam management. In this paper, we present a comprehensive survey on mmWave and THz beam management. Further, we give some insights on technical challenges and future research directions in this promising area.

Key facts. Cited by 21 papers in the map (data through 14 Oct 2026). First posted on arXiv 4 Aug 2023.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 3; 2025: 13; 2026: 4.

21 papers.

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  1. 2024Artificial General Intelligence (AGI)-Native Wireless Systems: A Journey Beyond 6Gcited by 31
  2. 2025A MIMO Wireless Channel Foundation Model via CIR-CSI Consistencycited by 10
  3. 2024Survey of Graph Neural Network for Internet of Things and NextG Networkscited by 4
  4. 2025M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Modelscited by 4
  5. 2024VOMTC: Vision Objects for Millimeter and Terahertz Communicationscited by 3
  6. 2025Explainable and Robust Millimeter Wave Beam Alignment for AI-Native 6G Networkscited by 3
  7. 2025Multi-Modality Sensing in mmWave Beamforming for Connected Vehicles Using Deep Learningcited by 3
  8. 2025Digital Twin-Assisted Explainable AI for Robust Beam Prediction in mmWave MIMO Systemscited by 2
  9. 2023Hierarchical ML Codebook Design for Extreme MIMO Beam Managementcited by 1
  10. 2025Multi-Modal Sensing Aided mmWave Beamforming for V2V Communications with Transformerscited by 1
  11. 2025Multi-User Beamforming with Deep Reinforcement Learning in Sensing-Aided Communicationcited by 0
  12. 2025GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communicationcited by 0
9 more
  1. 2025Secure mmWave Beamforming with Proactive-ISAC Defense Against Beam-Stealing Attackscited by 0
  2. 2025Physics-Informed Neural Networks for MIMO Beam Map and Environment Reconstructioncited by 0
  3. 2025Self-Localizing MIMO Beam Mapping with Continuously Evolving Channel Memorycited by 0
  4. 2025RadioMapMotion: A Dataset and Baseline for Proactive Spatio-Temporal Radio Environment Predictioncited by 0
  5. 2025Refined Bayesian Optimization for Efficient Beam Alignment in Intelligent Indoor Wireless Environmentscited by 0
  6. 2026Multi-Modal Sensing and Fusion in mmWave Beamforming for Connected Vehicles: A Transformer Based Frameworkcited by 0
  7. 2026Look Once, Beam Twice: Camera-Primed Real-Time Double-Directional mmWave Beam Management for Vehicular Connectivitycited by 0
  8. 2026CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Modelscited by 0
  9. 2026Wireless Foundation Models: State-of-the-Art and Open Challengescited by 0