8 citations · 11 across the 16 of their papers we have counts for
9 papers · 1 filter
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…