F
Faisal Tariq
Researcher at University of Glasgow
Publications - 38
Citations - 1009
Faisal Tariq is an academic researcher from University of Glasgow. The author has contributed to research in topics: Femtocell & Resource allocation. The author has an hindex of 9, co-authored 33 publications receiving 602 citations. Previous affiliations of Faisal Tariq include Aalborg University & Queen Mary University of London.
Papers
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Journal ArticleDOI
A Speculative Study on 6G
Faisal Tariq,Muhammad R. A. Khandaker,Kai-Kit Wong,Muhammad Imran,Mehdi Bennis,Merouane Debbah +5 more
TL;DR: The vision of 5G is extended to more ambitious scenarios in a more distant future and speculates on the visionary technologies that could provide the step changes needed for enabling 6G.
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A Speculative Study on 6G
Faisal Tariq,Muhammad R. A. Khandaker,Kai-Kit Wong,Muhammad Imran,Mehdi Bennis,Merouane Debbah +5 more
TL;DR: In this paper, the authors aim to extend the vision of 5G to more ambitious scenarios in a more distant future and speculates on the visionary technologies that could provide the step changes needed for enabling 6G.
Proceedings ArticleDOI
Dynamic fractional frequency reuse based hybrid resource management for femtocell networks
TL;DR: Quantitative performance results confirm the efficacy of the HRMA strategy for various key system metrics including interference minimisation, outage probability and throughput.
Proceedings ArticleDOI
Deep Neural Network Based Resource Allocation for V2X Communications
TL;DR: In this article, a weighted minimum mean square error (WMMSE) algorithm and a deep learning-based method were proposed to maximize the overall system throughput in a V2X communication system.
Posted Content
Truly Intelligent Reflecting Surface-Aided Secure Communication Using Deep Learning
TL;DR: A deep learning technique has been developed to tune the reflections of the IRS elements in real-time to create channel advantage for maximizing the secrecy rate at a legitimate receiver.