Sarder Fakhrul Abedin
Universitetslektor, Biträdande|Associate Senior Lecturer
- Tjänstetitel: Universitetslektor, Biträdande
- Avdelning: Institutionen för Data- och Elektroteknik (DET)
- Telefon arbete: +46 (0)10-1428360
- E-postadress: sarder.fakhrulabedin@miun.se
- Rumsnummer: L436
- Ort: Sundsvall
- Forskningscentra: Sensible Things that Communicate
- Anställd vid ämnet: Datateknik
Publikationer
Artiklar i tidskrifter
Minhaj, S. U. , Mahmood, A. , Abedin, S. F. , Hassan, S. A. , Bhatti, M. T. , Ali, S. H.
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Gidlund, M. (2023). Intelligent Resource Allocation in LoRaWAN Using Machine Learning Techniques. IEEE Access, vol. 11, ss. 10092-10106.
Fakhrul Abedin, S. , Mahmood, A. , Tran, N. H. , Han, Z.
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Gidlund, M. (2022). Elastic O-RAN Slicing for Industrial Monitoring and Control : A Distributed Matching Game and Deep Reinforcement Learning Approach. IEEE Transactions on Vehicular Technology, vol. 71: 10, ss. 10808-10822.
Lundberg, H. , Mowla, N. I. , Fakhrul Abedin, S. , Thar, K. , Mahmood, A. , Gidlund, M.
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Raza, S. (2022). Experimental Analysis of Trustworthy In-Vehicle Intrusion Detection System using eXplainable Artificial Intelligence (XAI). IEEE Access, vol. 10, ss. 102831-102841.
Mahmood, A. , Fakhrul Abedin, S. , Sauter, T. , Gidlund, M.
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Landernas, K. (2022). Factory 5G : A Review of Industry-Centric Features and Deployment Options. IEEE Industrial Electronics Magazine, vol. 16: 2, ss. 24-34.
Alioua, A. , Hamiroune, R. , Amiri, O. , Khelifi, M. , Senouci, S. -. , Gidlund, M.
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Fakhrul Abedin, S. (2022). Incentive mechanism for competitive edge caching in 5G-enabled Internet of things. Computer Networks, vol. 213
Mahmood, A. , Beltramelli, L. , Abedin, S. , Zeb, S. , Mowla, N. I. , Hassan, S. A. , Sisinni, E.
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Gidlund, M. (2022). Industrial IoT in 5G-and-Beyond Networks: Vision, Architecture, and Design Trends. IEEE Transactions on Industrial Informatics, vol. 18: 6, ss. 4122-4137.
Abedin, S. , Munir, M. S. , Tran, N. H. , Han, Z.
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Hong, C. S. (2021). Data Freshness and Energy-Efficient UAV Navigation Optimization : A Deep Reinforcement Learning Approach. IEEE transactions on intelligent transportation systems (Print), vol. 22: 9, ss. 5994-6006.
Munir, M. S. , Abedin, S. , Tran, N. H. , Han, Z. , Huh, E.
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Hong, C. S. (2021). Risk-Aware Energy Scheduling for Edge Computing with Microgrid : A Multi-Agent Deep Reinforcement Learning Approach. IEEE Transactions on Network and Service Management, vol. 18: 3, ss. 3476-3497.
Bairagi, A. K. , Masud, M. , Kim, D. H. , Munir, M. S. , Nahid, A. , Abedin, S. , Alam, K. M. , Biswas, S. & et al. (2020). Controlling the Outbreak of COVID-19 : A Noncooperative Game Perspective. IEEE Access, vol. 8, ss. 215570-215581.
Konferensbidrag
Khodakhah, F. , Mahmood, A. , Abedin, S. F. , Thar, K. , Österberg, P.
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Gidlund, M. (2022). Design and Resource Allocation of NOMA-based Transmission Scheme for Industrial Collaborative AR.
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2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - Proceedings.. S. 1604--1609.
Akhtar, M. W. , Mahmood, A. , Abedin, S. , Hassan, S. A.
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Gidlund, M. (2022). Exploiting NOMA for Radio Resource Efficient Traffic Steering Use-case in O-RAN.
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2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings.. S. 5771--5776.
Mugisha, R. , Mahmood, A. , Abedin, S. , Beltramelli, L.
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Gidlund, M. (2021). Joint Power and Blocklength Allocation for Energy-Efficient Ultra- Reliable and Low- Latency Communications.
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International Symposium on Wireless Communication Systems (ISWCS).