8 citations · 11 across the 16 of their papers we have counts for
7 papers · 1 filter
Detection-Aware Rate--CRB Characterization for Resource Allocation in ISAC Systems
Sana Mazahir, Hina Tabassum
Integrated sensing and communication (ISAC) performance analysis commonly employs the Cramér--Rao bound (CRB) as the sensing metric. The CRB lower-bounds estimation-error variance…
Joint Freshness and Age-Dispersion Control over Finite-State Markov Wireless Channels
Aresh Dadlani, Hina Tabassum, Muthukrishnan Senthil Kumar +1
Age of information (AoI) has become a standard design objective for timely monitoring as it measures the freshness of the latest update at a receiver. AoI alone, however, is insuff…
Characterization of Beam-Squint and Beam-Split Effects in RIS-assisted Multi-Frequency Networks
Mohammad Amin Saeidi, Hina Tabassum
Multi-frequency operation in beyond-5G and 6G systems renders the beam directions of large-aperture arrays frequency-dependent, giving rise to beam misalignment effects critical fo…
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…