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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Journal ArticleDOI
Multiagent Deep Reinforcement Learning for Wireless-Powered UAV Networks
TL;DR: This work uses a multiagent deep reinforcement learning (MADRL) method to optimize the task of energy transfer between FESs and UAVs, and shows that the proposed MADRL method has efficiently optimized the trajectories and energy consumption of Fess, which translates into a significant energy transfer gain compared to the baseline strategies.
Proceedings ArticleDOI
Game theoretic data privacy preservation: Equilibrium and pricing
TL;DR: This paper model the interactions among data providers/collector/user as a game, and proposes a general approach to find the Nash equilibriums of the game and presents a specific game formulation which takes k-anonymity as the anonymization method.
Proceedings ArticleDOI
An NB-IoT-based smart trash can system for improved health in smart cities
TL;DR: An intelligent system based on edge computing and the narrow-band Internet of things for monitoring smart trash cans (STCs) and shows good system performance, and allows for intelligent management of garbage in smart cities.
Proceedings ArticleDOI
Cognitive transmission based on data priority classification in WSNs for Smart Grid
TL;DR: This paper proposes a data transmission strategy in WSNs that can guarantee a minimum delay for the most key data under the constraints of the electric-power-system environment and battery power supply.
Journal ArticleDOI
A dynamic resource allocation scheme for delay-constrained multimedia services in CDMA 1/spl times/EV-DV forward link
TL;DR: The proposed dynamic resource allocation scheme using the effective capacity link model to support delay-bounded multimedia services in CDMA2000 1/spl times/EV-DV networks significantly improves the delay and throughput performance for all types of application traffic with various QoS requirements.