collaborators

6 papers

eess.SP2026

Deep-Unfolded Accelerated Projected Gradient for Energy-Efficient Cell-Free Massive MIMO

Phuong Nam Tran, Nhan Thanh Nguyen, Hien Quoc Ngo +1

This paper investigates energy efficiency (EE) maximization for the downlink of cell-free massive multiple-input multiple-output systems under quality-of-service and per-access poi…

cs.IT2026

Deep-Unfolded Wideband ISAC Beamforming for DMA Under Frequency-Selective Lorentzian Model

Abdolrasoul Sakhaei Gharagezlou, Pouya Mobaraki, Mehdi Monemi +4

Integrated sensing and communications (ISAC), empowered by dynamic metasurface antennas (DMAs), has emerged as a promising paradigm for next-generation wireless networks. However,…

cs.ET2026

Resource Allocation and AoI-Aware Detection for ISAC with Stacked Intelligent Metasurfaces

Elaheh Ataeebojd, Nhan Thanh Nguyen, Seonghoon Yoo +4

Stacked intelligent metasurfaces (SIMs) provide wave-domain degrees of freedom that can empower integrated sensing and communication (ISAC) through flexible beampattern synthesis a…

eess.SP2025

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…

cs.IT2025

Low-Complexity Cramér-Rao Lower Bound and Sum Rate Optimization in ISAC Systems

Tianyu Fang, Nhan Thanh Nguyen, Markku Juntti

While Cramér-Rao lower bound is an important metric in sensing functions in integrated sensing and communications (ISAC) designs, its optimization usually involves a computational…

eess.SP2025

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)…