5 papers
AMBER: An Adaptive Multimodal Mask Transformer for Beam Prediction with Missing Modalities
Chenyiming Wen, Binpu Shi, Min Li +3
With the widespread adoption of millimeter-wave (mmWave) massive multi-input-multi-output (MIMO) in vehicular networks, accurate beam prediction and alignment have become critical…
Score-Based Conditional Flow Models for MIMO Receiver Design with Superimposed Pilots
Ruhao Zhang, Yupeng Li, Yitong Liu +4
Accurate channel state information (CSI) is vital for multiple-input multiple-output (MIMO) systems. However, superimposed pilots (SIP), which reduce overhead, introduce severe pil…
Experimental Performance of Bidirectional Phase Coherent Transmission and Sensing for mmWave Cell-free Massive MIMO Systems with Reciprocity Calibration
Qingji Jiang, Jing jin, Qixing Wang +9
Phase synchronization among distributed transmission reception points (TRPs) is a prerequisite for enabling coherent joint transmission and high-precision sensing in millimeter wav…
Large Language Model-Empowered Decision Transformer for UAV-Enabled Data Collection
Zhixion Chen, Jiangzhou Wang, Hyundong Shin +1
The deployment of unmanned aerial vehicles (UAVs) for reliable and energy-efficient data collection from spatially distributed devices holds great promise in supporting diverse Int…
Hybrid Precoding with Per-Beam Timing Advance for Asynchronous Cell-free mmWave Massive MIMO-OFDM Systems
Pengzhe Xin, Yang Cao, Yue Wu +3
Cell-free massive multiple-input-multiple-output (CF-mMIMO) is regarded as one of the promising technologies for next-generation wireless networks. However, due to its distributed…