| A novel deep learning driven, low-cost mobility prediction approach for 5G cellular networks: The case of the Control/Data Separation Architecture (CDSA) M Ozturk, M Gogate, O Onireti, A Adeel, A Hussain, MA Imran Neurocomputing 358, 479-489, 2019 | 96 | 2019 |
| A survey of machine learning applications to handover management in 5G and beyond MS Mollel, AI Abubakar, M Ozturk, SF Kaijage, M Kisangiri, S Hussain, ... IEEE Access 9, 45770-45802, 2021 | 80 | 2021 |
| DEKCS: A dynamic clustering protocol to prolong underwater sensor networks KG Omeke, MS Mollel, M Ozturk, S Ansari, L Zhang, QH Abbasi, MA Imran IEEE Sensors Journal 21 (7), 9457-9464, 2021 | 67 | 2021 |
| Energy‐aware smart connectivity for IoT networks: enabling smart ports M Ozturk, M Jaber, MA Imran Wireless communications and mobile computing 2018 (1), 5379326, 2018 | 52 | 2018 |
| The role of artificial intelligence driven 5G networks in COVID-19 outbreak: Opportunities, challenges, and future outlook AI Abubakar, KG Omeke, M Ozturk, S Hussain, MA Imran Frontiers in Communications and Networks 1, 575065, 2020 | 47 | 2020 |
| Intelligent handover decision scheme using double deep reinforcement learning MS Mollel, AI Abubakar, M Ozturk, S Kaijage, M Kisangiri, A Zoha, ... Physical Communication 42, 101133, 2020 | 43 | 2020 |
| Novel QoS-aware proactive spectrum access techniques for cognitive radio using machine learning M Ozturk, M Akram, S Hussain, MA Imran IEEE Access 7, 70811-70827, 2019 | 39 | 2019 |
| Non-invasive hydration level estimation in human body using galvanic skin response A Rizwan, NA Ali, A Zoha, M Ozturk, A Alomainy, MA Imran, QH Abbasi IEEE Sensors Journal 20 (9), 4891-4900, 2020 | 34 | 2020 |
| Energy optimization in ultra-dense radio access networks via traffic-aware cell switching M Ozturk, AI Abubakar, JPB Nadas, RNB Rais, S Hussain, MA Imran IEEE Transactions on Green Communications and Networking 5 (2), 832-845, 2021 | 32 | 2021 |
| A survey on energy optimization techniques in UAV-based cellular networks: from conventional to machine learning approaches AI Abubakar, I Ahmad, KG Omeke, M Ozturk, C Ozturk, AM Abdel-Salam, ... Drones 7 (3), 214, 2023 | 26 | 2023 |
| Mobility management-based autonomous energy-aware framework using machine learning approach in dense mobile networks SM Asad, S Ansari, M Ozturk, RNB Rais, K Dashtipour, S Hussain, ... Signals 1 (2), 170-187, 2020 | 20 | 2020 |
| Clustering based UAV base station positioning for enhanced network capacity M Ozturk, JPB Nadas, PHV Klaine, S Hussain, MA Imran 2019 International Conference on Advances in the Emerging Computing …, 2020 | 19 | 2020 |
| Q-learning assisted energy-aware traffic offloading and cell switching in heterogeneous networks AI Abubakar, M Ozturk, S Hussain, MA Imran 2019 IEEE 24th International Workshop on Computer Aided Modeling and Design …, 2019 | 19 | 2019 |
| Reinforcement learning driven energy efficient mobile communication and applications SM Asad, M Ozturk, RNB Rais, A Zoha, S Hussain, QH Abbasi, MA Imran 2019 IEEE International Symposium on Signal Processing and Information …, 2019 | 16 | 2019 |
| Coverage analysis for indoor-outdoor coexistence for millimetre-wave communication A Turkmen, MS Mollel, M Ozturk, S Yao, L Zhang, R Ghannam, MA Imran 2019 UK/China Emerging Technologies (UCET), 1-4, 2019 | 13 | 2019 |
| Handover management in dense networks with coverage prediction from sparse networks M Mollel, M Ozturk, M Kisangiri, S Kaijage, O Onireti, MA Imran, ... 2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW …, 2019 | 13 | 2019 |
| A lightweight cell switching and traffic offloading scheme for energy optimization in ultra-dense heterogeneous networks AI Abubakar, MS Mollel, M Ozturk, S Hussain, MA Imran Physical Communication 52, 101643, 2022 | 12 | 2022 |
| Reinforcement learning based mobility load balancing with the cell individual offset MZ Asghari, M Ozturk, J Hämäläinen 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 1-5, 2021 | 11 | 2021 |
| Introducing a novel minimum accuracy concept for predictive mobility management schemes M Ozturk, PV Klaine, MA Imran 2018 IEEE International Conference on Communications Workshops (ICC …, 2018 | 9 | 2018 |
| 3D Transition Matrix Solution for a Path Dependency Problem of Markov Chains-Based Prediction in Cellular Networks M Ozturk, PV Klaine, MA Imran IEEE 86th Vehicular Technology Conference (VTC-Fall), BackNets Workshop, 2017 | 8 | 2017 |
Muhammad Ali Imran, FIEEE, FRSE, F...Professor of Communication Systems - University of Glasgow在 glasgow.ac.uk 的电子邮件经过验证
