5G and beyond networks, radio resource management, distributed algorithms, Device-to-Device communication, reinforcement learning

Sanusi, Idayat O. and Nasr, Karim M. ORCID: https://orcid.org/0000-0002-8604-6274 (2022) A machine learning approach for resource allocation in wireless industrial environments. In: Eighteenth Advanced International Conference on Telecommunications (AICT), 26th - 30th June 2022, Porto, Portugal. International Academy, Research, and Industry Association (IARIA) - Advanced International Conference on Telecommunications (AICT), Wilmington DE; Red Hook NY, USA, pp. 18-23. ISBN 978-1612089560 ISSN 2308-4030 (Online)

Device-to-Device Communication (D2D), Internet of Things (IoT), Fifth Generation networks (5G), Ultra Reliable Low Latency Communication (URLLC), Industry 4.0. Factories of the Future (FoF)

Sanusi, Idayat O., Nasr, Karim M. ORCID: https://orcid.org/0000-0002-8604-6274 and Moessner, Klaus (2019) A spectrum sharing optimisation mechanism for D2D applications in factories of the future. In: European COST Action IRACON 11th MCM and Technical Meeting, 4th - 6th Sep 2019, Gdank, Poland.

Fifth Generation (5G) and beyond networks, Radio Resource Management (RRM), distributed algorithms, Device-to-Device communication (D2D), reinforcement, learning

Sanusi, Idayat O. and Nasr, Karim M. ORCID: https://orcid.org/0000-0002-8604-6274 (2022) Base Station Assisted (BSA) reinforcement learning for resource allocation in wireless industrial environments. International Journal On Advances in Telecommunications, 15 (3 & 4). pp. 60-69. ISSN 1942-2601

Internet of Things (IoT), smart environments, 5G, Radio Resource Management (RRM), Quality of Experience/Service (QoE/QoS)

Sanusi, Idayat O. and Nasr, Karim M. ORCID: https://orcid.org/0000-0002-8604-6274 (2018) Radio resource management techniques in smart environments. In: The Third Medway Engineering Conference, 20th June 2018, University of Greenwich, Medway Campus.

URLLC, distributed algorithm, game theory, radio spectrum management, 5G and beyond, distributed algorithm, game theory, radio spectrum management, 5G and beyond

Sanusi, Idayat O., Nasr, Karim M. ORCID: https://orcid.org/0000-0002-8604-6274 and Moessner, Klaus (2021) Radio resource management approaches for reliable Device-to-Device (D2D) communication in wireless industrial applications. IEEE Transactions on Cognitive Communications and Networking, 7 (3). pp. 905-916. ISSN 2332-7731 (Online) (doi:10.1109/TCCN.2020.3032679)

Ultra Reliable Low Latency Communication (URLLC), Device-to-Device Communication (D2D), 5G and beyond, Industry 4.0, interference, resource management, reliability, Game Theory, signal to noise ratio, quality of service, optimisation , Device-to-Device Communication (D2D) , 5G and beyond , Industry 4.0 , Game Theory , Optimisation

Sanusi, Idayat O., Nasr, Karim M. ORCID: https://orcid.org/0000-0002-8604-6274 and Moessner, Klaus (2020) Resource allocation for a reliable D2D enabled cellular network in factories of the future. In: 2020 European Conference on Networks and Communications (EuCNC), 15th - 18th June 2020, Dubrovnik, Croatia, 2020. IEEE Xplore . Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey, pp. 89-93. ISBN 978-1728143552; 978-1728143569 ISSN 2575-4912 (Print), 2475-6490 (Online) (doi:10.1109/EuCNC48522.2020.9200942)

Wireless networks, Internet of Things, IoT, computer networks,

Sanusi, Idayat O. (2023) Radio resource management techniques for industrial IoT in 5G-and beyond networks. PhD thesis, University of Greenwich.

device-to-device communication, Game theory, deferred acceptance

Sanusi, Idayat O., Nasr, Karim M. ORCID: https://orcid.org/0000-0002-8604-6274 and Moessner, Klaus (2021) A price Deferred Acceptance (p-DA) technique for D2D communication in factories of the future. In: Cognitive Radio-Oriented Wireless Networks: 15th EAI International Conference, CrownCom 2020, Rome, Italy, November 25-26, 2020, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST) (374). Springer, Cham, Switzerland, pp. 102-111. ISBN 978-3030734220; 978-3030734237 ISSN 1867-8211 (Print), 1867-822X (Online) (doi:10.1007/978-3-030-73423-7_8)

device-to-device communication, quality of service, resource management, reinforcement learning, throughput, wireless communication, interference, Fifth generation (5G) and beyond wireless networks, radio spectrum management (RRM), distributed algorithms, device-to-device communication (D2D), reinforcement learning, matching theory

Sanusi, Idayat O. and Nasr, Karim M. ORCID: https://orcid.org/0000-0002-8604-6274 (2024) A reinforcement learning approach for D2D spectrum sharing in wireless industrial URLLC networks. IEEE Transactions on Network and Service Management, 21 (5). pp. 5410-5419. ISSN 1932-4537 (Online) (doi:10.1109/TNSM.2024.3445123)