552 citations · 1.3k across the 50 of their papers we have counts for
17 papers · 1 filter
Optimization of Speed and Network Deployment for Reliable V2I Communication in the Presence of Handoffs and Interference
Haider Shoaib, Hina Tabassum
Vehicle-to-infrastructure (V2I) communication is becoming indispensable for successful roll-out of connected and autonomous vehicles (CAVs). While increasing the CAVs' speed improv…
Power Control with QoS Guarantees: A Differentiable Projection-based Unsupervised Learning Framework
Mehrazin Alizadeh, Hina Tabassum
Deep neural networks (DNNs) are emerging as a potential solution to solve NP-hard wireless resource allocation problems. However, in the presence of intricate constraints, e.g., us…
Dynamic Unicast-Multicast Scheduling for Age-Optimal Information Dissemination in Vehicular Networks
Ahmed Al-Habob, Hina Tabassum, Omer Waqar
This paper investigates the problem of minimizing the age-of-information (AoI) and transmit power consumption in a vehicular network, where a roadside unit (RSU) provides timely up…
Evolution Toward 6G Wireless Networks: A Resource Management Perspective
Mehdi Rasti, Shiva Kazemi Taskou, Hina Tabassum +1
In this article, we first present the vision, key performance indicators, key enabling techniques (KETs), and services of 6G wireless networks. Then, we highlight a series of gener…
Federated Double Deep Q-learning for Joint Delay and Energy Minimization in IoT networks
Sheyda Zarandi, Hina Tabassum
In this paper, we propose a federated deep reinforcement learning framework to solve a multi-objective optimization problem, where we consider minimizing the expected long-term tas…
Interference and Coverage Analysis in Coexisting RF and Dense TeraHertz Wireless Networks
Javad Sayehvand, Hina Tabassum
This paper develops a stochastic geometry framework to characterize the statistics of the downlink interference and coverage probability of a typical user in a coexisting terahertz…