17 papers · 1 filter
Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking
Mengyuan Ma, Isuri Welgamage, Ahmed Alkhateeb +3
Beam training and prediction in real-world millimeter-wave (mmWave) communications systems are challenging due to rapidly time-varying channels and strong interference from surroun…
Knowledge Distillation for Collaborative Learning in Distributed Communications and Sensing
Nhan Thanh Nguyen, Mengyuan Ma, Nir Shlezinger +4
The rise of sixth generation (6G) wireless networks promises to deliver ultra-reliable, low-latency, and energy-efficient communications, sensing, and computing. However, tradition…
Impact of Pointing Error on Coverage Performance of 3D Indoor Terahertz Communication Systems
Zhifeng Tang, Nan Yang, Xiangyun Zhou +3
In this paper, we develop a tractable analytical framework for a three-dimensional (3D) indoor terahertz (THz) communication system to theoretically assess the impact of the pointi…
Deep Reinforcement Learning for Hybrid RIS Assisted MIMO Communications
Phuong Nam Tran, Nhan Thanh Nguyen, Markku Juntti
Hybrid reconfigurable intelligent surfaces (HRIS) enhance wireless systems by combining passive reflection with active signal amplification. However, jointly optimizing the transmi…
Deep Reinforcement Learning-Based Dynamic Resource Allocation in Cell-Free Massive MIMO
Phuong Nam Tran, Nhan Thanh Nguyen, Hien Quoc Ngo +1
In this paper, we consider power allocation and antenna activation of cell-free massive multiple-input multiple-output (CFmMIMO) systems. We first derive closed-form expressions fo…
AoI-Aware Machine Learning for Constrained Multimodal Sensing-Aided Communications
Abolfazl Zakeri, Nhan Thanh Nguyen, Ahmed Alkhateeb +1
Using environmental sensory data can enhance communications beam training and reduce its overhead compared to conventional methods. However, the availability of fresh sensory data…