96 citations · 110 across the 15 of their papers we have counts for
20 papers
Energy-Efficient Spiking Neural Networks for Sensing-Aided Beam Prediction
Nhan Thanh Nguyen, Phuong Nam Tran, Mengyuan Ma +3
Sensing-aided beam prediction can reduce the beam-training overhead of millimeter-wave (mmWave) systems by leveraging environmental information from complementary modalities such a…
Tri-Hybrid Beamforming Design for Large-Scale MIMO ISAC Systems
Tianyu Fang, Mengyuan Ma, Markku Juntti +3
Tri-hybrid multiple-input multiple-output (MIMO) architectures have been proposed as a promising solution for enabling energy-efficient communications systems in large-scale antenn…
Lightweight Vision-Aided Beam Tracking for Cross-Environment mmWave Communications
Mengyuan Ma, Ahmed Alkhateeb, Nhan Thanh Nguyen +2
Sensing-aided beam tracking is a promising approach to reduce the overhead for millimeter-wave beam management. However, real-world application remains challenging due to rapid cha…
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…
Tri-Hybrid Beamforming Design for integrated Sensing and Communications
Tianyu Fang, Mengyuan Ma, Markku Juntti +1
Tri-hybrid beamforming architectures have been proposed to enable energy-efficient communications systems in extra-largescale antenna arrays using low-cost programmable metasurface…
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…
Optimal ISAC Beamforming Structure and Efficient Algorithms for Sum Rate and CRLB Balancing
Tianyu Fang, Mengyuan Ma, Markku Juntti +3
Integrated sensing and communications (ISAC) has emerged as a promising paradigm to unify wireless communications and radar sensing, enabling efficient spectrum and hardware utiliz…
Model-Based Machine Learning for Max-Min Fairness Beamforming Design in JCAS Systems
Mengyuan Ma, Tianyu Fang, Nir Shlezinger +3
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…
Digital and Hybrid Precoding Designs in Massive MIMO with Low-Resolution ADCs
Mengyuan Ma, Nhan Thanh Nguyen, Italo Atzeni +2
Low-resolution analog-to-digital converters (ADCs) have emerged as an efficient solution for massive multiple-input multiple-output (MIMO) systems to reap high data rates with reas…
Hybrid Receiver Design for Massive MIMO-OFDM with Low-Resolution ADCs and Oversampling
Mengyuan Ma, Nhan Thanh Nguyen, Italo Atzeni +1
Low-resolution analog-to-digital converters (ADCs) and hybrid beamforming have emerged as efficient solutions to reduce power consumption with satisfactory spectral efficiency (SE)…
Joint Beamforming Design and Bit Allocation in Massive MIMO with Resolution-Adaptive ADCs
Mengyuan Ma, Nhan Thanh Nguyen, Italo Atzeni +1
Low-resolution analog-to-digital converters (ADCs) have emerged as a promising technology for reducing power consumption and complexity in massive multiple-input multiple-output (M…
Analysis of Oversampling in Uplink Massive MIMO-OFDM with Low-Resolution ADCs
Mengyuan Ma, Nhan Thanh Nguyen, Italo Atzeni +1
Low-resolution analog-to-digital converters (ADCs) have emerged as an efficient solution for massive multiple-input multiple-output (MIMO) systems to reap high data rates with reas…
Beam Squint Analysis and Mitigation via Hybrid Beamforming Design in THz Communications
Mengyuan Ma, Nhan Thanh Nguyen, Markku Juntti
We investigate the beam squint effect in uniform planar arrays (UPAs) and propose an efficient hybrid beamforming (HBF) design to mitigate the beam squint in multiple-input multipl…
AI-Empowered Hybrid MIMO Beamforming
Nir Shlezinger, Mengyuan Ma, Ortal Lavi +3
Hybrid multiple-input multiple-output (MIMO) is an attractive technology for realizing extreme massive MIMO systems envisioned for future wireless communications in a scalable and…
Deep Unfolding Hybrid Beamforming Designs for THz Massive MIMO Systems
Nhan Thanh Nguyen, Mengyuan Ma, Nir Shlezinger +3
Hybrid beamforming (HBF) is a key enabler for wideband terahertz (THz) massive multiple-input multiple-output (mMIMO) communications systems. A core challenge with designing HBF sy…
Switch-based Hybrid Beamforming Transceiver Design for Wideband Communications with Beam Squint
Mengyuan Ma, Nhan Thanh Nguyen, Markku Juntti
Hybrid beamforming (HBF) transceiver architectures based on frequency-independent phase shifters (PS-HBF) are sensitive to the phases and physical directions with limited capabilit…
Switch-based Hybrid Beamforming for Wideband Multi-carrier Communications
Mengyuan Ma, Nhan Thanh Nguyen, Markku Juntti
Switch-based hybrid beamforming (SW-HBF) architectures are promising for realizing massive multiple-input multiple-output (MIMO) communications systems because of their low cost an…
Closed-Form Hybrid Beamforming Solution for Spectral Efficiency Upper Bound Maximization in mmWave MIMO-OFDM Systems
Mengyuan Ma, Nhan Thanh Nguyen, Markku Juntti
Hybrid beamforming is considered a key enabler to realize millimeter wave (mmWave) multiple-input multiple-output (MIMO) communications due to its capability of considerably reduci…
Joint Long-Term Admission Control and Beamforming in Green Downlink Networks: Offline and Online Approaches
Jingran Lin, Mengyuan Ma, Qiang Li +1
Admission control is an effective solution to managing a wireless network with a large user set. It dynamically rejects users in bad conditions, and thereby guarantees high quality…