394 citations · 511 across the 23 of their papers we have counts for
23 papers
JEPA for AI-Native 6G: Predictive Representations and Open Challenges
Sheikh Salman Hassan, Irshad A. Meer, Almoatssimbillah Saifaldawla +9
Sixth-generation (6G) networks are moving toward AI-native operation, where learning modules are embedded across the radio access network (RAN), edge, and core. This transition req…
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…
Audio-Visual Speech Enhancement: Architectural Design and Deployment Strategies
Anis Hamadouche, Haifeng Luo, Mathini Sellathurai +2
Real-time audio-visual speech enhancement (AVSE) is a key enabler for immersive and interactive multimedia services, yet its performance is tightly constrained by network latency,…
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…
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…
Reconfigurable FPGA-Based Solvers For Sparse Satellite Control
Anis Hamadouche, Yun Wu, Mathini Sellathurai +2
This paper introduces a novel reconfigurable and power-efficient FPGA (Field-Programmable Gate Array) implementation of an operator splitting algorithm for Non-Terrestial Network's…
Adaptive Model Pruning and Personalization for Federated Learning over Wireless Networks
Xiaonan Liu, Tharmalingam Ratnarajah, Mathini Sellathurai +1
Federated learning (FL) enables distributed learning across edge devices while protecting data privacy. However, the learning accuracy decreases due to the heterogeneity of devices…
Interference and noise cancellation for joint communication radar (JCR) system based on contextual information
Christantus O. Nnamani, Mathini Sellathurai
This paper examines the separation of wireless communication and radar signals, thereby guaranteeing cohabitation and acting as a panacea to spectrum sensing. First, considering th…
A Novel Frame Structure for Cloud-Based Audio-Visual Speech Enhancement in Multimodal Hearing-aids
Abhijeet Bishnu, Ankit Gupta, Mandar Gogate +5
In this paper, we design a first of its kind transceiver (PHY layer) prototype for cloud-based audio-visual (AV) speech enhancement (SE) complying with high data rate and low laten…
Machine Learning-based Urban Canyon Path Loss Prediction using 28 GHz Manhattan Measurements
Ankit Gupta, Jinfeng Du, Dmitry Chizhik +2
Large bandwidth at mm-wave is crucial for 5G and beyond but the high path loss (PL) requires highly accurate PL prediction for network planning and optimization. Statistical models…
Gridded UAV Swarm for Secrecy Rate Maximization with Unknown Eavesdropper
Christantus O. Nnamani, Muhammad R. A. Khandaker, Mathini Sellathurai
This paper considers grid formation of an unmanned aerial vehicle (UAV) swarm for maximizing the secrecy rate in the presence of an unknown eavesdropper. In particular, the UAV swa…
Reinforcement Learning based Per-antenna Discrete Power Control for Massive MIMO Systems
Navneet Garg, Mathini Sellathurai, Tharmalingam Ratnarajah
Power consumption is one of the major issues in massive MIMO (multiple input multiple output) systems, causing increased long-term operational cost and overheating issues. In this…
Joint Beamforming and Location Optimization for Secure Data Collection in Wireless Sensor Networks with UAV-Carried Intelligent Reflecting Surface
Christantus O. Nnamani, Muhammad R. A. Khandaker, Mathini Sellathurai
This paper considers unmanned aerial vehicle (UAV)-carried intelligent reflecting surface (IRS) for secure data collection in wireless sensor networks. An eavesdropper (Eve) lurks…
Deep Networks for Direction-of-Arrival Estimation in Low SNR
Georgios K. Papageorgiou, Mathini Sellathurai, Yonina C. Eldar
In this work, we consider direction-of-arrival (DoA) estimation in the presence of extreme noise using Deep Learning (DL). In particular, we introduce a Convolutional Neural Networ…
An Automated Contact Tracing Approach for Controlling Covid-19 Spread Based on Geolocation Data from Mobile Cellular Networks
Md. Tanvir Rahman, Risala T. Khan, Muhammad R. A. Khandaker +1
The coronavirus (COVID-19) has appeared as the greatest challenge due to its continuous structural evolution as well as the absence of proper antidotes for this particular virus. T…
UAV-Aided Jamming for Secure Ground Communication with Unknown Eavesdropper Location
Christantus O. Nnamani, Muhammad R. A. Khandaker, Mathini Sellathurai
This paper investigates unmanned aerial vehicle (UAV)-aided jamming technique for enabling physical layer keyless security in scenarios where the exact eavesdropper location is unk…
Online Learning Models for Content Popularity Prediction In Wireless Edge Caching
Navneet Garg, Vimal Bhatia, B. N. Bharath +2
Caching popular contents in advance is an important technique to achieve the low latency requirement and to reduce the backhaul costs in future wireless communications. Considering…
Low-Complexity Hybrid Beamforming for Massive MIMO Systems in Frequency-Selective Channels
Sohail Payami, Mathini Sellathurai, Konstantinos Nikitopoulos
Hybrid beamforming for frequency-selective channels is a challenging problem as the phase shifters provide the same phase shift to all of the subcarriers. The existing approaches s…
Hybrid Beamforming with Reduced Number of Phase Shifters for Massive MIMO Systems
Sohail Payami, Mir Ghoraishi, Mehrdad Dianati +1
In this paper, two novel hybrid beamforming methods are proposed to reduce the cost and power consumption of hybrid beamformers with subconnected phase shifter network structure in…