
Ph.D. in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 36th cycle (2020-2023)
Ph.D. obtained in 2024
Dissertation:
On Applications of Machine Learning In IRS NOMA Architectures For 5G and Beyond (Abstract)
Tutors:
Daniele Trinchero
Research presentation:
PosterProfile
Research topic
On Applications of Machine Learning In IRS NOMA Architectures For 5G and Beyond
Research interests
Biography
Awards and Honors
Publications
Works published during the Ph.D. View all publications in Porto@Iris
- Shehab, Muhammad (2024)
On Applications of Machine Learning In IRS NOMA Architectures For 5G and Beyond. relatore: TRINCHERO, Daniele; , 36. XXXVI Ciclo, P.: 134
Doctoral Thesis - Shehab, Muhammad; Elsayed, Mohamed; Almohamad, Abdullateef; Badawy, Ahmed; Khattab, ... (2024)
Terahertz Multiple Access: A Deep Reinforcement Learning Controlled Multihop IRS Topology. In: IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY, vol. 5, pp. 1072-1087. ISSN 2644-125X
Contributo su Rivista - Shehab, Muhammad; Badawy, Ahmed; Elsayed, Mohamed; Khattab, Tamer; Trinchero, Daniele (2023)
DDPG Performance in THz Communications over Cascaded RISs: A Machine Learning Solution to the Over-Determined System. In: 2023 International Wireless Communications and Mobile Computing (IWCMC), Marrakesh, Morocco, 19-23 June 2023, pp. 210-215. ISBN: 979-8-3503-3339-8
Contributo in Atti di Convegno (Proceeding) - Shehab, Muhammad; Trinchero, Daniele (2022)
Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA. In: IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY, vol. 3, pp. 729-739. ISSN 2644-125X
Contributo su Rivista - Shehab, Muhammad; Kassem, I.; Kutty, A. A.; Kucukvar, M.; Onat, N; Khattab, T. (2022)
5G Networks Towards Smart and Sustainable Cities: A Review of Recent Developments, Applications and Future Perspectives. In: IEEE ACCESS, vol. 10, pp. 2987-3006. ISSN 2169-3536
Contributo su Rivista - Shehab, Muhammad; Khattab, Tamer; Kucukvar, Murat; Trinchero, Daniele (2022)
The Role of 5G/6G Networks in Building Sustainable and Energy-Efficient Smart Cities. In: 2022 IEEE 7th International Energy Conference (ENERGYCON), Riga, Latvia, 09-12 May 2022, pp. 1-7. ISBN: 978-1-6654-7982-0
Contributo in Atti di Convegno (Proceeding)