{"total":22,"rows":[{"id":"2211.09769","title":"DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Dataset","created":"2022-11-17","cited_by_count":53,"area":null},{"id":"2309.11811","title":"Multimodal Transformers for Wireless Communications: A Case Study in Beam Prediction","created":"2023-09-21","cited_by_count":8,"area":null},{"id":"2308.06868","title":"Camera Based mmWave Beam Prediction: Towards Multi-Candidate Real-World Scenarios","created":"2023-08-14","cited_by_count":7,"area":null},{"id":"2504.05187","title":"Resource-Efficient Beam Prediction in mmWave Communications with Multimodal Realistic Simulation Framework","created":"2025-04-07","cited_by_count":5,"area":null},{"id":"2406.17908","title":"DeepSense-V2V: A Vehicle-to-Vehicle Multi-Modal Sensing, Localization, and Communications Dataset","created":"2024-06-25","cited_by_count":4,"area":null},{"id":"2308.10362","title":"Vehicle Cameras Guide mmWave Beams: Approach and Real-World V2V Demonstration","created":"2023-08-20","cited_by_count":3,"area":null},{"id":"2406.18542","title":"Generative AI Empowered LiDAR Point Cloud Generation with Multimodal Transformer","created":"2024-05-20","cited_by_count":3,"area":null},{"id":"2503.08937","title":"Beam Selection in ISAC using Contextual Bandit with Multi-modal Transformer and Transfer Learning","created":"2025-03-11","cited_by_count":3,"area":null},{"id":"2504.06173","title":"Multi-Modality Sensing in mmWave Beamforming for Connected Vehicles Using Deep Learning","created":"2025-04-08","cited_by_count":3,"area":null},{"id":"2312.07601","title":"Non-contact Multimodal Indoor Human Monitoring Systems: A Survey","created":"2023-12-11","cited_by_count":2,"area":null},{"id":"2603.19067","title":"Communication-Efficient and Robust Multi-Modal Federated Learning via Latent-Space Consensus","created":"2026-03-19","cited_by_count":2,"area":null},{"id":"2211.07569","title":"Millimeter Wave Drones with Cameras: Computer Vision Aided Wireless Beam Prediction","created":"2022-11-14","cited_by_count":1,"area":null},{"id":"2501.18618","title":"Vision Aided Channel Prediction for Vehicular Communications: A Case Study of Received Power Prediction Using RGB Images","created":"2025-01-25","cited_by_count":1,"area":null},{"id":"2604.06914","title":"Equivariant Multi-agent Reinforcement Learning for Multimodal Vehicle-to-Infrastructure Systems","created":"2026-04-08","cited_by_count":1,"area":null},{"id":"2505.17530","title":"GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication","created":"2025-05-23","cited_by_count":0,"area":null},{"id":"2512.24324","title":"Empower Low-Altitude Economy: A Reliability-Aware Dynamic Weighting Allocation for Multi-modal UAV Beam Prediction","created":"2025-12-30","cited_by_count":0,"area":null},{"id":"2603.16143","title":"Structure-Aware Multimodal LLM Framework for Trustworthy Near-Field Beam Prediction","created":"2026-03-17","cited_by_count":0,"area":null},{"id":"2603.25288","title":"CSI-tuples-based 3D Channel Fingerprints Construction Assisted by MultiModal Learning","created":"2026-03-26","cited_by_count":0,"area":null},{"id":"2605.05071","title":"Look Once, Beam Twice: Camera-Primed Real-Time Double-Directional mmWave Beam Management for Vehicular Connectivity","created":"2026-05-06","cited_by_count":0,"area":null},{"id":"2606.22195","title":"Resolving Multi-Target Association in OFDM-based ISAC via Vision-aided Multi-Modal Learning","created":"2026-06-20","cited_by_count":0,"area":null},{"id":"2608.15972","title":"CM-MAE: A Physics-Guided Cross-Modal Self-Supervised Learning Framework for Vision-Wireless Applications","created":"2026-08-16","cited_by_count":0,"area":null},{"id":"2609.23372","title":"Vision-Wireless Fusion for Multi-User Localization: A Cross-Modal Transformer Approach","created":"2026-09-20","cited_by_count":0,"area":null}],"next_cursor":null}