Archivio Istituzionale della RicercaSHEHAB, MUHAMMAD
SHEHAB, MUHAMMAD
Dipartimento di Elettronica e Telecomunicazioni
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Terahertz Multiple Access: A Deep Reinforcement Learning Controlled Multihop IRS Topology
2024 Shehab, Muhammad; Elsayed, Mohamed; Almohamad, Abdullateef; Badawy, Ahmed; Khattab, Tamer; Zorba, Nizar; Hasna, Mazen; Trinchero, Daniele
5G Networks Towards Smart and Sustainable Cities: A Review of Recent Developments, Applications and Future Perspectives
2022 Shehab, Muhammad; Kassem, I.; Kutty, A. A.; Kucukvar, M.; Onat, N; Khattab, T.
Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA
2022 Shehab, Muhammad; Trinchero, Daniele
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Terahertz Multiple Access: A Deep Reinforcement Learning Controlled Multihop IRS Topology / Shehab, Muhammad; Elsayed, Mohamed; Almohamad, Abdullateef; Badawy, Ahmed; Khattab, Tamer; Zorba, Nizar; Hasna, Mazen; Trinchero, Daniele. - In: IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY. - ISSN 2644-125X. - ELETTRONICO. - (2024), pp. 1-16. [10.1109/OJCOMS.2024.3357701] | 1-gen-2024 | Shehab, MuhammadBadawy, AhmedTrinchero, Daniele + | Trinchero-Terahertz.pdf |
| 5G Networks Towards Smart and Sustainable Cities: A Review of Recent Developments, Applications and Future Perspectives / Shehab, Muhammad; Kassem, I.; Kutty, A. A.; Kucukvar, M.; Onat, N; Khattab, T.. - In: IEEE ACCESS. - ISSN 2169-3536. - ELETTRONICO. - 10:(2022), pp. 2987-3006. [10.1109/ACCESS.2021.3139436] | 1-gen-2022 | Shehab, Muhammad + | 5G_Networks_Towards_Smart_and_Sustainable_Cities_A_Review_of_Recent_Developments_Applications_and_Future_Perspectives.pdf |
| Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA / Shehab, Muhammad; Trinchero, Daniele. - In: IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY. - ISSN 2644-125X. - ELETTRONICO. - 3:(2022), pp. 729-739. [10.1109/OJCOMS.2022.3165590] | 1-gen-2022 | Muhammad ShehabDaniele Trinchero | Shehab-Deep.pdf |