M
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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Tac-U: A traffic balancing scheme over licensed and unlicensed bands for Tactile Internet
TL;DR: This paper investigates the utilization of LTE in unlicensed bands (LTE-U) technology for resource-constrained tactile networks, which enables a portion of the haptic communications to be used in un licensed bands and proposes Tac-U, which is an LTE-U technology-based traffic balancing scheme for Tactile Internet.
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A Two-Tier Collection and Processing Scheme for Fog-Based Mobile Crowdsensing in the Internet of Vehicles
TL;DR: This article proposes a two-tier sensing scheme around the optimization of the sensing mechanism and data processing, and shows that the scheme has higher link utilization and lower resource consumption for a high-speed mobile network environment in IoV.
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EM-Based Adaptive Frequency Domain Estimation of Doppler Shifts with CRLB Analysis for CDMA Systems
TL;DR: A frequency domain equalizer (FDE) based receiver architecture is developed to exploit Doppler diversity in the frequency domain and demonstrate that this receiver architecture features a low complexity while still achieving a good performance compared with traditional CDMA receivers.
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An Anti-Interference Scheme for UAV Data Links in Air-Ground Integrated Vehicular Networks.
TL;DR: An anti-interference scheme, named as Mary-MCM, for UAV data links in AGIVNs based on multi-ary (M-ary) spread spectrum and multi-carrier modulation (MCM) is proposed, which disperses the interference power by expanding the signal spectrum, such that the anti-Interference ability ofAGIVNs is enhanced.
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A Fog Computing Solution for Context-Based Privacy Leakage Detection for Android Healthcare Devices
TL;DR: This work designs the security and privacy protection framework based on the fog computing to improve tele-health and tele-medicine infrastructure and proposes a context-based privacy leakage detection method based onThe combination of dynamic and static information.