Tri-hybrid multiple-input multiple-output (MIMO) architectures have been proposed as a promising solution for enabling energy-efficient communications systems in large-scale antenna arrays by replacing conventional antenna arrays in hybrid beamforming (HBF) systems with low-cost dynamic metasurface antennas (DMAs). In...
Tian-Yu Fang, Meng-Yuan Ma, Markku J. Juntti et al.· 0 citations
This paper investigates monostatic massive multiple-input-multiple-output ISAC systems under imperfect target-angle estimates and proposes a robust power allocation framework that jointly optimizes pilot training and communications/sensing transmission powers to maximize the communications sum rate while satisfying CRL...
Smriti Uniyal, Tian-Yu Fang, Van-Dinh Nguyen et al.· 0 citations
Numerical results demonstrate that, while both approaches achieve comparable performance under per-slot optimization, knowledge of the transmitted symbols provides significant gains in multi-slot processing via coherent integration.
Mohammad Hatami, N. Nguyen, Markku J. Juntti· 0 citations
Simulation results demonstrate that the proposed sub-6 GHz-assisted GNN-based beamformer achieves competitive and often superior sum-rate performance compared to classical baselines that rely on full mmWave CSI.
Sina Tavakolian, Abolfazl Zakeri, Ahmed Alkhateeb et al.· 0 citations
This paper investigates joint beamforming design and subcarrier allocation in a multicarrier integrated sensing and communications (ISAC) system that operates as a monostatic multiple-input multiple-output (MIMO) radar while simultaneously providing downlink communications services to multiple users. The main objective...
Mohammad Hatami, N. Nguyen, Markku J. Juntti· IEEE Transactions on Communi...· 1 citation
In integrated sensing and communication (ISAC) systems, stringent sensing performance constraints can severely limit the power available for communication. Hybrid reconfigurable intelligent surfaces (HRISs) with capabilities of both passive reflection and active signal amplification can significantly improve communicat...
Smriti Uniyal, Tian-Yu Fang, M. di Renzo et al.· 1 citation
A deep-unfolded APG framework that maps iterative APG updates onto a finite number of neural network layers, where parameters such as step sizes and penalty coefficients are learned from data to reduce the computational complexity and runtime of APG.
Phuong Nam Tran, N. Nguyen, H. Ngo et al.· 0 citations
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