SOTAVerified

Beam Prediction

The beam prediction task involves determining the optimal beam or set of beams to use for signal transmission between a base station and a user device. Beam prediction is crucial in millimeter-wave (mmWave) and massive MIMO systems, where highly directional beams are used to overcome signal attenuation and ensure high data rates. The goal is to predict the most suitable beam(s) based on environmental factors, user location, and historical signal data, without exhaustive search over all possible beams, which can be computationally intensive.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–10 of 52 papers

TitleStatusHype
Vision-Position Multi-Modal Beam Prediction Using Real Millimeter Wave DatasetsCode1
Radar Aided 6G Beam Prediction: Deep Learning Algorithms and Real-World DemonstrationCode1
LiDAR Aided Future Beam Prediction in Real-World Millimeter Wave V2I CommunicationsCode1
Multimodal Transformers for Wireless Communications: A Case Study in Beam PredictionCode1
Position Aided Beam Prediction in the Real World: How Useful GPS Locations Actually Are?Code1
ProtoBeam: Generalizing Deep Beam Prediction to Unseen Antennas using Prototypical NetworksCode0
Digital Twin Based Beam Prediction: Can we Train in the Digital World and Deploy in Reality?Code0
Deep Regularized Waveform Learning for Beam Prediction With Limited Samples in Non-Cooperative mmWave SystemsCode0
GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave CommunicationCode0
MVX-ViT: Multimodal Collaborative Perception for 6G V2X Network Management Decisions Using Vision Transformer.Code0
Show:102550
← PrevPage 1 of 6Next →

No leaderboard results yet.