Research

Millimeter-wave (mmWave) frequencies offer the multi-gigabit throughput required by next-generation UAV networks, but their directional …

I attended the 3rd EUSOME consortium study visit at the Institute Mihajlo Pupin in Belgrade, Serbia, bringing together partners for knowledge exchange on U-Space technologies and project coordination.

A novel time series approach is developed to accurately model and predict optical links between Low Earth Orbit (LEO) satellites.

A novel simulation framework is developed to model and evaluate Frequency Modulated Continuous Wave (FMCW) radar sensors integrated with Unmanned Aerial Vehicle (UAV) platforms.

Researchers develop an integrated sensing and communication technology to enhance safety and efficiency in advanced air mobility vehicles.

The paper improves massive MIMO channel estimation by leveraging UAV state-space information to mitigate the effects of beam squint and enhance wideband channel accuracy.

This research develops a biconvex optimization approach to estimate time-domain MIMO channel matrices under dual-wideband fading conditions, addressing beam squint and ISI effects in single-carrier point-to-point systems.

The paper presents a unified time-domain framework for estimating MIMO channel matrices in extremely large THz systems under dual-wideband fading conditions, mitigating beam squint and inter-symbol interference.

Researchers propose flexible hybrid precoding schemes to optimize joint sensing and communication performance in resource-constrained wireless systems.

A novel channel estimation protocol enables autonomous configuration of semi-passive Reconfigurable Intelligent Surfaces for receiving pilot signals in multi-antenna systems, leveraging beamspace sparsity and low-rank properties.