96 citations · 96 across the 35 of their papers we have counts for
9 papers · 2 filters
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…
Deep Reinforcement Learning for Dynamic Sensing and Communications
Abolfazl Zakeri, Nhan Thanh Nguyen, Ahmed Alkhateeb +1
Environmental sensing can significantly enhance mmWave communications by assisting beam training, yet its benefits must be balanced against the associated sensing costs. To this en…
Data-Free Knowledge Distillation for LiDAR-Aided Beam Tracking in MmWave Systems
Abolfazl Zakeri, Nhan Thanh Nguyen, Ahmed Alkhateeb +1
We propose a data-free knowledge distillation (DF- KD) framework for LiDAR-aided mmWave beam tracking, where the objective is to predict the optimal current and future beams from a…
Attention-Enhanced Learning for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications
Mengyuan Ma, Nhan Thanh Nguyen, Nir Shlezinger +2
Beam training and prediction in millimeter-wave communications are highly challenging due to fast time-varying channels and sensitivity to blockages and mobility. In this context,…
Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications
Mengyuan Ma, Nhan Thanh Nguyen, Nir Shlezinger +3
Infrastructure-mounted sensors can capture rich environmental information to enhance communications and facilitate beamforming in millimeter-wave systems. This work presents an eff…
Constrained Multimodal Sensing-Aided Communications: A Dynamic Beamforming Design
Abolfazl Zakeri, Nhan Thanh Nguyen, Ahmed Alkhateeb +1
Using multimodal sensory data can enhance communications systems by reducing the overhead and latency in beam training. However, processing such data incurs high computational comp…
Exploiting Symmetric Non-Convexity for Multi-Objective Symbol-Level DFRC Signal Design
Ly V. Nguyen, Rang Liu, Nhan Thanh Nguyen +3
Symbol-level precoding (SLP) is a promising solution for addressing the inherent interference problem in dual-functional radar-communication (DFRC) signal designs. This paper consi…
Dynamic Joint Communications and Sensing Precoding Design: A Lyapunov Approach
Abolfazl Zakeri, Nhan Thanh Nguyen, Ahmed Alkhateeb +1
This letter proposes a dynamic joint communications and sensing (JCAS) framework to adaptively design dedicated sensing and communications precoders. We first formulate a stochasti…
Adaptive and Self-Tuning SBL with Total Variation Priors for Block-Sparse Signal Recovery
Hamza Djelouat, Reijo Leinonen, Mikko J. Sillanpää +2
This letter addresses the problem of estimating block sparse signal with unknown group partitions in a multiple measurement vector (MMV) setup. We propose a Bayesian framework by a…