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
An Adaptive Network Coding Scheme for Multipath Transmission in Cellular-Based Vehicular Networks.
TL;DR: An Adaptive Network Coding (ANC) scheme brought by the novel integration of the Hidden Markov Model (HMM) into the NC scheme to efficiently adjust the coding rate according to the estimated packet loss rate (PLR).
Proceedings ArticleDOI
A Novel Chaos-Based Physical Layer Security Transmission Scheme for Internet of Things
TL;DR: This work proposes a novel chaotic physical layer security transmission scheme in the OFDM-based IoT transmission system that achieves the higher confidentiality of information transmission with the capability to resist chosen-plaintext attacks, statistical-attacks, and brute-force attacks simultaneously.
Posted Content
A Performance Analysis Model of TCP over Multiple Heterogeneous Paths for 5G Mobile Services
TL;DR: In this paper, a performance analysis model for TCP over multiple heterogeneous paths in 5G scenarios, where both bandwidth and delay asymmetry are taken into consideration, is presented, and the evaluation adopting parameters from field investigation shows that the proposed model can achieve high accuracy in practical environments.
Journal ArticleDOI
3D Beamforming With Massive Cylindrical Arrays for Physical Layer Secure Data Transmission
TL;DR: The results show that the proposed approach can lead to good jamming mitigation and high secrecy capacity in both 2D and 3D, even when there are errors in determining the location of the eavesdropper.
Journal ArticleDOI
Cooperative Secondary Encryption for Primary Privacy Preserving in Cognitive Radio Networks
TL;DR: Numerical results are given to prove that the proposed scheme can provide privacy preserving for the primary information and acquire high secondary average transmission rate.