← Search

Mengyuan Ma

3 accepted papers

2026

ATTENTION-ENHANCED LEARNING FOR SENSING-ASSISTED LONG-TERM BEAM TRACKING IN MMWAVE COMMUNICATIONS

ICASSP 2026oral

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, infrastructure-mounted cameras can capture rich environmental information that can facilitate beam tracking design. In t…

Cited by 0SourcePDFScholar
2025

Model-Based Machine Learning for Max-Min Fairness Beamforming Design in JCAS Systems

ICASSP 2025accepted

Joint communications and sensing (JCAS) is expected to be a crucial technology for future wireless systems. This paper investigates beamforming design for a multi-user multi-target JCAS system to ensure fairness and balance between communications and sensing performance. We jointly optimize the tran…

Cited by 0SourceScholar
2023

Deep Unfolding-Enabled Hybrid Beamforming Design for mmWave Massive MIMO Systems

ICASSP 2023accepted

Hybrid beamforming (HBF) is a key enabler for millimeter-wave (mmWave) communications systems, but HBF optimizations are often non-convex and of large dimension. In this paper, we propose an efficient deep unfolding-based HBF scheme, referred to as ManNet-HBF, that approximately maximizes the system…

Cited by 0SourceScholar