S
Salah Hessien
Researcher at McMaster University
Publications - 9
Citations - 86
Salah Hessien is an academic researcher from McMaster University. The author has contributed to research in topics: MIMO & Maximal-ratio combining. The author has an hindex of 4, co-authored 8 publications receiving 65 citations. Previous affiliations of Salah Hessien include Texas A&M University at Qatar & Texas A&M University.
Papers
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Journal ArticleDOI
Experimental Evaluation of OFDM-Based Underwater Visible Light Communication System
TL;DR: An adapted LTE frame structure is implemented for underwater VLC (UVLC) system and the effects of varying orthogonal frequency division multiplexing parameters on the system's signal-to-noise ratio and the bit-error-rate performances are studied.
Journal ArticleDOI
Secrecy Analysis of MIMO Wiretap Channels With Low-Complexity Receivers Under Imperfect Channel Estimation
Fawaz S. Al-Qahtani,Yuzhen Huang,Salah Hessien,Redha M. Radaydeh,Caijun Zhong,Hussein Alnuweiri +5 more
TL;DR: A general order transmit antenna selection and power-efficient output-threshold maximal ratio combining scheme is proposed and two separate cases depending on the availability of the eavesdropper's CSI at the transmitter are considered.
Journal ArticleDOI
Underlay Cognitive Multihop MIMO Networks With and Without Receive Interference Cancellation
TL;DR: To further enhance the secondary network, optimal power allocation among hops is obtained based on the asymptotic outage performance under the constraints of transmit power of a secondary transmit station and interference limit on the primary network.
Proceedings ArticleDOI
The Best of All Worlds: Improving Predictability at the Performance of Conventional Coherence with No Protocol Modifications
Salah Hessien,Mohamed Hassan +1 more
TL;DR: PISCOT as mentioned in this paper is a predictable and coherent bus architecture that provides a considerably tighter bound compared to the state-of-the-art predictable coherent solutions (4× tighter bounds in a quad-core system).
Journal ArticleDOI
On the Secrecy Enhancement With Low-Complexity Large-Scale Transmit Selection in MIMO Generalized Composite Fading
TL;DR: A low-complexity antenna selection scheme based on large-scale fading to enhance the secrecy performance in independent and non-identical generalized-K fading channels and simple and insightful approximations are obtained for the secrecy outage probability in the high signal to noise ratio regime.