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.
Papers
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Journal ArticleDOI
AI-Enabled Reliable Channel Modeling Architecture for Fog Computing Vehicular Networks
TL;DR: A novel AI-based reliable and interference-free mobility management algorithm (RIMMA) for fog computing intra-vehicular networks, which significantly improves computation, communication, cooperation, and storage space and outperforms the traditional technique for intercity vehicular networks.
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Double Auction Mechanisms For Dynamic Autonomous Electric Vehicles Energy Trading
TL;DR: This study proposes double auction models to incentivize AEV agents to participate in the market based on their time preferences and energy pricing, and implements dynamic pricing structures, which are applicable to various scenarios of energy trading.
Journal ArticleDOI
Integrated 5G-Satellite Networks: A Perspective on Physical Layer Reliability and Security
Min Lin,Qingquan Huang,Tomaso de Cola,Jun-Bo Wang,Jiangzhou Wang,Mohsen Guizani,Jin-Yuan Wang +6 more
TL;DR: A review of current initiatives and system architecture for the convergence of satellite and 5G networks, and various approaches to improve reliability or security at the physical layer for the integrated 5G-satellite networks are investigated.
Proceedings ArticleDOI
A Cluster Based On-demand Multi-Channel MAC Protocol for Wireless Multimedia Sensor Networks
TL;DR: Simulation results indicate that COM-MAC can achieve increased network throughput at the cost of a small control and energy overhead.
Journal ArticleDOI
Deep learning for intelligent IoT: Opportunities, challenges and solutions
TL;DR: This work states that next-generation wireless networks have to be robust and self-sustained and seamless integration demands overhauling the whole communication stack from physical layer to application layer, which makes it easy to widely deploy the network.