M
Muhammad R. A. Khandaker
Researcher at Heriot-Watt University
Publications - 94
Citations - 2538
Muhammad R. A. Khandaker is an academic researcher from Heriot-Watt University. The author has contributed to research in topics: Relay & MIMO. The author has an hindex of 23, co-authored 90 publications receiving 1895 citations. Previous affiliations of Muhammad R. A. Khandaker include Curtin University & University College London.
Papers
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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: 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.
Journal ArticleDOI
SWIPT in MISO Multicasting Systems
TL;DR: This letter investigates the joint multicast transmit beamforming and receive power splitting problem for minimizing the transmit power of the BS subject to signal-to-noise ratio (SNR) and energy harvesting constraints at each receiver.
Journal ArticleDOI
Lightweight Cryptography Algorithms for Resource-Constrained IoT Devices: A Review, Comparison and Research Opportunities
TL;DR: In this article, the authors have compared the existing algorithms in terms of implementation cost, hardware and software performances and attack resistance properties and discussed the demand and a direction for new research in the area of lightweight cryptography to optimize balance amongst cost, performance and security.
Journal ArticleDOI
Masked Beamforming in the Presence of Energy-Harvesting Eavesdroppers
TL;DR: Using semidefinite relaxation (SDR) techniques, it is shown that there always exists a rank-one optimal transmit covariance solution for the IR and an efficient algorithm is proposed to always construct an equivalent rank- one optimal solution.