Research

The study optimizes 5G network performance to support seamless and immersive extended reality experiences on-the-go.

This study introduces velocity-aided channel estimation for spatially selective mmWave massive MIMO communications, significantly improving channel estimation accuracy by incorporating vehicle velocity information.

This paper develops a covariance-based hybrid beamformer for spectrally efficient joint radar-communications systems, enhancing interference mitigation and spectral efficiency by leveraging fewer RF chains than transmit antennas.

This research proposes a novel flexible hybrid beamforming scheme for spectrally efficient 6G joint radar-communications, enabling interference mitigation and improved system performance through reduced RF chain usage.

This paper develops a novel channel estimation method for lens-based hybrid MIMO systems using low-resolution ADCs, significantly improving performance and enabling practical mmWave applications.

This research introduces a novel subset selection-based RIS-aided beamforming approach that maximizes spectral efficiency in joint radar-communications systems, enabling more efficient use of RF resources.

Joint radar-communications (JRC) is considered to be a vital technology in deploying the next generation systems, since its useful in …

Joint radar-communications (JRC) benefits from multi-functionality of radar and communication operations using same hardware and radio …

This paper focuses on addressing the challenge of estimating multiple-input multiple-output (MIMO) channels for wireless communication …

This research develops quantum computing-assisted channel estimation techniques to significantly improve computational efficiency in massive MIMO mmWave systems.