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eess.SP2026

Antenna Health-Aware Selective Beamforming for Hardware-Constrained DFRC Systems II

Anis Hamadouche, Tharm Ratnarajah, Christos Masouros +2

This study introduces an innovative beamforming design approach that incorporates the reliability of antenna array elements into the optimization process, termed "antenna health-aw…

eess.SP2026

Antenna Health-Aware Selective Beamforming for Hardware-Constrained DFRC Systems I

Anis Hamadouche, Tharm Ratnarajah, Christos Masouros +2

This paper addresses the optimization challenges in dual-functional radar-communication (DFRC) systems with a focus on array selection and beamforming in dynamic and heterogeneous…

eess.SP2026

Efficient Dual-Blind Deconvolution for Joint Radar-Communication Systems Using ADMM: Enhancing Channel Estimation and Signal Recovery in 5G mmWave Networks

Anis Hamadouche, Mathini Sellathurai

This paper introduces a novel framework for jointly estimating unknown radar channels and transmit signals in millimeter-wave (mmWave) Joint Radar-Communication (JRC) systems, a pr…

eess.SP2026

Trade-offs in Reliability and Performance Using Selective Beamforming for Ultra-Massive MIMO

Anis Hamadouche, Mathini Sellathurai

This paper addresses the optimization challenges in Ultra-Massive MIMO communication systems, focusing on array selection and beamforming in dynamic and diverse operational context…

eess.SP2026

Context-Enhanced CSI Tracking Using Koopman-Inspired Dual Autoencoders in Dynamic Wireless Environments

Anis Hamadouche, Mathini Sellathurai

This paper introduces a novel framework for tracking and predicting Channel State Information (CSI) by leveraging Physics-Informed Autoencoders (PIAE) integrated with a learned Koo…

eess.SP2026

Leveraging Kernel Symmetry for Joint Compression and Error Mitigation in Edge Model Transfer

Anis Hamadouche, Mathini Sellathurai

This paper investigates communication-efficient neural network transmission by exploiting structured symmetry constraints in convolutional kernels. Instead of transmitting all mode…