
PhD Student in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 36th cycle (2020-2023)
Department of Electronics and Telecommunications (DET)
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PhD
Thesis title
On Applications of Machine Learning In IRS NOMA Architectures For 5G and Beyond
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Research interests
Awards and Honors
Publications
Latest publications View all publications in Porto@Iris
- 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; 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) - 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