Hamad Yahya - 21DOCS Test Area

Hamad Yahya

Dr. Hamad Yahya (Member, IEEE) was born in Sharjah, UAE, in 1997. He received the M.Sc. degree (with Distinction) in Communications and Signal Processing from The University of Manchester, Manchester, U.K., in 2019, he received the Ph.D. degree in Electrical and Electronic Engineering from The University of Manchester, Manchester, U.K., in 2023. He is currently enrolled in the UAE National Post-Doctoral Fellowship Program at Khalifa University. Prioir joining Khalifa University, Dr. Yahya worked as a Research Associate with the Communication Systems research group at The University of Manchester, where he was the co-founder and the chair of the IEEE ComSoc SBC. Dr. Yahya received the Best Student and the Best Project Prizes from the Department of Electrical and Electronic Engineering, The University of Manchester. He was nominated for the Distinguished Achievement Award in 2019, where he was among the top 14 postgraduate taught students across the Faculty of Science and Engineering. He is the recipient of the MSc Success Scholarship from The University of Manchester. His research interests include wireless communications for future wireless networks, optimization, and visible light communication.

United Arab Emirates

Public Documents 1

Joint Gray-Mapping for Multilayer Multicast NOMA with Arbitrary Modulation Orders

Hamad Yahya

and 2 more

June 07, 2024

This work considers the design of a generalized Gray-mapping process to multilayer multicast non-orthogonal multiple access (NOMA) transmission with arbitrary modulation orders. Unlike orthogonal multiple access, joint-multilayer Graymapping can provide significant energy savings and bit error rate (BER) improvements, which can be used to alleviate the degradation caused by the inherent multilayer interference in NOMA. The obtained improvement is due to the increased Euclidean distance that Gray-mapping provides for certain layers/symbols. To evaluate the impact of Gray-mapping, closed-form expressions are derived for the exact BER with imperfect successive interference cancellation. The obtained analytical and simulation results demonstrate that the proposed scheme can offer up to 10 dB gain and 94% energy saving compared to conventional NOMA in certain scenarios, where such a performance gain can be shared between the layers by selecting an appropriate power assignment. Moreover, feasibility maps are generated to demonstrate the additional flexibility that Gray-mapping can offer in terms of quality of service satisfaction for the various layers at lower signal to noise ratios.