This paper introduces a graph-based framework for fair comparison of cellular, coordinated, and cell-free massive-MIMO systems, and derives compatible spectral efficiency expressions for uplink and do…

This paper investigates the fundamental limits and optimal design for Integrated Sensing and Communication (ISAC) systems under noncoherent conditions, deriving a lower bound for noncoherent mutual in…

A novel beam-domain channel estimation method for mmWave MIMO is proposed using sub-6 GHz beam-domain information for improved accuracy.

This paper proposes a UAV-assisted vehicular communication framework using multi-antenna beamforming and dynamic bandwidth allocation for reliable communication in dynamic environments.

This paper derives the asymptotic distribution of the k-th maximum order statistics of signal to noise ratio for a κ-μ fading channel using extreme value theory, and applies these results to various c…

This paper derives Cramér-Rao lower bounds for cooperative MIMO integrated sensing and communication networks, considering position and velocity coupling in the Fisher information matrix.

This paper proposes a new method, multibit quantized precoding (MQP), for multi-user massive MIMO systems with low-resolution digital-to-analog converters, enforcing the finite-alphabet constraint thr…

This paper proposes a structured canonical polyadic decomposition (SCPD) algorithm for accurate sensing and joint network-level synchronization in networked integrated sensing and communication (ISAC)…

This paper compares the downlink spectral efficiency of multi-user large antenna systems with global and local calibration approaches, and demonstrates that global calibration outperforms local calibr…

This paper analyzes the effects of calibration errors on downlink beamforming in a repeater-assisted massive MIMO system and derives analytical expressions for the downlink spectral efficiency.

This paper derives closed-form outage probability expressions and proposes a fairness optimization algorithm for a multiuser MISO downlink system that combines rate-splitting multiple access and fluid…

This paper proposes a statistical framework for designing task-aware multiple-input multiple-output (MIMO) precoders in future wireless networks using statistical channel state information and trainin…

Proposed EvoOMG framework optimizes throughput in heterogeneous Wi-Fi networks with both legacy and MLO-capable stations using an evolution-oriented multi-agent guidance approach.

This paper proposes a tensor-structured multi-domain channel extrapolation framework to reduce pilot overhead in upper mid-band massive MIMO systems, using a Tucker-based SFT-domain signal model and a…

This paper proposes AirPASS, an alternating optimization framework for over-the-air federated learning in wireless systems using a multi-waveguide pinching antenna system.