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…

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 introduces mean field reinforcement learning through Markov decision processes in large-population stochastic control, developing the necessary framework for representative-agent learning,…

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 investigates how network perturbations can alter the asymptotic agreement trajectory in distributed coordination systems, proving fragility in standard cooperative output regulation schemes…

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 proposes a holistic design framework for a wireless-powered SC3 system using satellite RF signals, optimizing energy transfer, communication, and computing processes.

This paper explores tools for control engineers to design socio-technical systems in a more principled and ethical manner, using feedback optimization, control of Markov decision processes, and model…

This paper provides a comprehensive review of network optimization aspects for Connected and Autonomous Vehicles (CAVs), aiming to clarify misconceptions and outline future research directions.

This paper investigates the design of dual-function radar-communication systems for massive MIMO systems using 1-bit DACs and ADCs, optimizing the transmit signal matrix for enhanced sensing performan…

Proposed an asynchronous block coordinate descent algorithm for distributed trajectory estimation in robotics, reducing communications by up to 96.9% and achieving exponential convergence.

The paper proposes a Digital Twin-enabled Simultaneous Learning and Modeling (DT-SLAM) framework to enhance secure communications in UAV-assisted networks against intelligent eavesdropping attacks, ac…

The paper introduces The AI Telco Engineer (AITE), a framework for autonomously designing wireless communication algorithms using large language models, achieving better performance and reduced latenc…

This paper presents a comprehensive survey on reconfigurable antennas for next-generation mobile networks, focusing on their potential and applications.

The paper proves a stochastic comparison for Gaussian maxima, resolving the Weak Simplex Conjecture and proving the Simplex Mean Width Conjecture.