8 citations · 11 across the 16 of their papers we have counts for
20 papers
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…
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 (…
EMForecaster: A Deep Learning Framework for Time Series Forecasting in Wireless Networks with Distribution-Free Uncertainty Quantification
Xavier Mootoo, Hina Tabassum, Luca Chiaraviglio
With the recent advancements in wireless technologies, forecasting electromagnetic field (EMF) exposure has become critical to enable proactive network spectrum and power allocatio…
Placement, Orientation, and Resource Allocation Optimization for Cell-Free OIRS-aided OWC Network
Jalal Jalali, Hina Tabassum, Jeroen Famaey +2
The emergence of optical intelligent reflecting surface (OIRS) technologies marks a milestone in optical wireless communication (OWC) systems, enabling enhanced control over light…
Unveiling the Potential of NOMA: A Journey to Next Generation Multiple Access
Adeel Ahmed, Wang Xingfu, Ammar Hawbani +8
Revolutionary sixth-generation wireless communications technologies and applications, notably digital twin networks (DTN), connected autonomous vehicles (CAVs), space-air-ground in…
Stochastic Sparse Sampling: A Framework for Variable-Length Medical Time Series Classification
Xavier Mootoo, Alan A. Díaz-Montiel, Milad Lankarany +1
While the majority of time series classification research has focused on modeling fixed-length sequences, variable-length time series classification (VTSC) remains critical in heal…
Context-Aware Predictive Coding: A Representation Learning Framework for WiFi Sensing
B. Barahimi, H. Tabassum, M. Omer +1
WiFi sensing is an emerging technology that utilizes wireless signals for various sensing applications. However, the reliance on supervised learning, the scarcity of labelled data,…
Molecular Absorption-Aware User Assignment, Spectrum, and Power Allocation in Dense THz Networks with Multi-Connectivity
Mohammad Amin Saeidi, Hina Tabassum, Mehrazin Alizadeh
This paper develops a unified framework to maximize the network sum-rate in a multi-user, multi-BS downlink terahertz (THz) network by optimizing user associations, number and band…
Optimizing Vehicular Networks with Variational Quantum Circuits-based Reinforcement Learning
Zijiang Yan, Ramsundar Tanikella, Hina Tabassum
In vehicular networks (VNets), ensuring both road safety and dependable network connectivity is of utmost importance. Achieving this necessitates the creation of resilient and effi…
Generalized Multi-Objective Reinforcement Learning with Envelope Updates in URLLC-enabled Vehicular Networks
Zijiang Yan, Hina Tabassum
We develop a novel multi-objective reinforcement learning (MORL) framework to jointly optimize wireless network selection and autonomous driving policies in a multi-band vehicular…
Non-orthogonal Age-Optimal Information Dissemination in Vehicular Networks: A Meta Multi-Objective Reinforcement Learning Approach
A. A. Habob, H. Tabassum, O. Waqar
This paper considers minimizing the age-of-information (AoI) and transmit power consumption in a vehicular network, where a roadside unit (RSU) provides timely updates about a set…
RSCNet: Dynamic CSI Compression for Cloud-based WiFi Sensing
Borna Barahimi, Hakam Singh, Hina Tabassum +2
WiFi-enabled Internet-of-Things (IoT) devices are evolving from mere communication devices to sensing instruments, leveraging Channel State Information (CSI) extraction capabilitie…
Age-Aware Dynamic Frame Slotted ALOHA for Machine-Type Communications
Masoumeh Moradian, Aresh Dadlani, Ahmad Khonsari +1
Information aging has gained prominence in characterizing communication protocols for timely remote estimation and control applications. This work proposes an Age of Information (A…