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Khaled Ben Letaief

Researcher at Hong Kong University of Science and Technology

Publications -  832
Citations -  36798

Khaled Ben Letaief is an academic researcher from Hong Kong University of Science and Technology. The author has contributed to research in topics: Fading & Communication channel. The author has an hindex of 79, co-authored 774 publications receiving 29387 citations. Previous affiliations of Khaled Ben Letaief include Microsoft & Wilmington University.

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A Survey on Mobile Edge Computing: The Communication Perspective

TL;DR: A comprehensive survey of the state-of-the-art MEC research with a focus on joint radio-and-computational resource management is provided in this paper, where a set of issues, challenges, and future research directions for MEC are discussed.
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A Survey on Mobile Edge Computing: The Communication Perspective

TL;DR: A comprehensive survey of the state-of-the-art MEC research with a focus on joint radio-and-computational resource management and recent standardization efforts on MEC are introduced.
Journal ArticleDOI

Dynamic Computation Offloading for Mobile-Edge Computing With Energy Harvesting Devices

TL;DR: In this paper, a low-complexity online algorithm is proposed, namely, the Lyapunov optimization-based dynamic computation offloading algorithm, which jointly decides the offloading decision, the CPU-cycle frequencies for mobile execution, and the transmit power for computing offloading.
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The Roadmap to 6G: AI Empowered Wireless Networks

TL;DR: Potential technologies for 6G to enable mobile AI applications, as well as AI-enabled methodologies for6G network design and optimization are discussed.
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Alternating Minimization Algorithms for Hybrid Precoding in Millimeter Wave MIMO Systems

TL;DR: Treating the hybrid precoder design as a matrix factorization problem, effective alternating minimization (AltMin) algorithms will be proposed for two different hybrid precoding structures, i.e., the fully-connected and partially-connected structures, and simulation comparisons between the two hybrid precode structures will provide valuable design insights.