7 citations · 11 across the 14 of their papers we have counts for
9 papers · 1 filter
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…
COMET: Co-Optimization of a CNN Model using Efficient-Hardware OBC Techniques
Boyang Chen, Mohd Tasleem Khan, George Goussetis +4
Convolutional Neural Networks (CNNs) achieve remarkable accuracy in vision tasks, yet their computational complexity challenges low-power edge deployment. In this work, we present…
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…
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…
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…
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…