10 papers
MU-SHOT-Fi: Self-Supervised Multi-User Wi-Fi Sensing with Source-free Unsupervised Domain Adaptation
Ahmed Y. Radwan, Hina Tabassum
Deep learning has been widely adopted for WiFi CSI-based human activity recognition (HAR) due to its ability to learn spatio-temporal features in a privacy-preserving and cost-effe…
AMAR: Lightweight Attention-Based Multi-User Activity Recognition from Wi-Fi CSI
Amirhossein Mohammadi, Hina Tabassum
Wi-Fi-based human activity recognition (HAR) has emerged as a promising approach for contactless sensing, leveraging channel state information (CSI) collected from wireless transce…
Multi-objective Optimization for Over-the-Air Federated Edge Learning-enabled Collaborative Integrated Sensing and Communications
Saba Asaad, Hina Tabassum, Ping Wang
This paper introduces a novel multi-objective integrated sensing and communications (ISAC) framework to enable collaborative wireless sensing in conjunction with over-the-air feder…
Pinching Antennas-Assisted Low-Latency Federated Learning Over Multi-User Wireless Networks
Saba Asaad, Hina Tabassum, Ping Wang
Federated learning (FL) over wireless networks is fundamentally constrained by unreliable communication links, particularly when uplink channels suffer from blockage, fading, or we…
Resource Allocation in Cooperative Mid-band/THz Networks in the Presence of Mobility
Mohammad Amin Saeidi, Hina Tabassum
This paper develops a comprehensive framework to investigate and optimize the downlink performance of cooperative multi-band networks (MBNs) operating on upper mid-band (UMB) and t…
Age of Information in Unreliable Tandem Queues
Muthukrishnan Senthilkumar, Aresh Dadlani, Hina Tabassum
Stringent demands for timely information delivery, driven by the widespread adoption of real-time applications and the Internet of Things, have established the age of information (…