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Mohsen Guizani

Researcher at Qatar University

Publications -  1337
Citations -  48275

Mohsen Guizani is an academic researcher from Qatar University. The author has contributed to research in topics: Computer science & Cloud computing. The author has an hindex of 79, co-authored 1110 publications receiving 31282 citations. Previous affiliations of Mohsen Guizani include Jaypee Institute of Information Technology & University College for Women.

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Optimal Rate-Adaptive Data Dissemination in Vehicular Platoons

TL;DR: A novel dynamic programming algorithm is presented to solve the platooning resource allocation optimization, which uses backward induction to significantly reduce the resource allocation complexity and achieves optimal solutions with cutting off the complexity by orders of magnitude.
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A Near-Optimal LLR Based Cooperative Spectrum Sensing Scheme for CRAHNs

TL;DR: A Log-Likelihood Ratio based cooperative spectrum sensing scheme is proposed in which each SU performs a local LLR based sensing test employing two threshold levels, and simulation results show that the detection performance of the proposed scheme is close to the optimal soft combining techniques.
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A Vision on 6G-Enabled NIB: Requirements, Technologies, Deployments, and Prospects

TL;DR: This study presents a visionary augmentation about 6G-NIB on top of vital aspects, such as key requirements, technological aspects, use cases, deployment schemes, variants, and open research issues and future directions, and recommends that applications related to industry 4.0 might benefit from 6G -NIB when proper connectivity features are sought.
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DISCO: Interference-Aware Distributed Cooperation with Incentive Mechanism for 5G Heterogeneous Ultra-Dense Networks

TL;DR: A coalition game-theoretic framework is introduced to characterize cooperative behaviors, thus exploring these cooperative benefits and diversity gains and proposing two schemes under the presented framework: IASL and TOSL.
Proceedings ArticleDOI

FacebookVideoLive18: A Live Video Streaming Dataset for Streams Metadata and Online Viewers Locations

TL;DR: A dataset gathered from one of the popular live streaming platforms: Facebook, storing more than 1,500,000 live stream records collected in June and July 2018, to collect fine grained metadata of public videos that might be useful for the research community.