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Dr. Asad Syed Muhammad
Dr. Asad Syed Muhammad
Visiting Fellow (University of Glasgow), Senior Network & Telecoms Architect (Transport for London)
Verified email at glasgow.ac.uk
Title
Cited by
Cited by
Year
Travelers-Tracing and Mobility Profiling Using Machine Learning in Railway Systems
SM Asad, K Dashtipour, S Hussain, QH Abbasi, MA Imran
2020 International Conference on UK-China Emerging Technologies (UCET), 2020
282020
Mobility Prediction-Based Optimisation and Encryption of Passenger Traffic-Flows Using Machine Learning
SM Asad, J Ahmad, S Hussain, A Zoha, QH Abbasi, MA Imran
Sensors 2020, 20(9), 2629; https://doi.org/10.3390/s20092629 (registering …, 2020
212020
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
192020
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
162019
Edge intelligence in private mobile networks for next-generation railway systems
SM Asad, A Tahir, RNB Rais, S Ansari, AI Abubakar, S Hussain, ...
Frontiers in Communications and Networks 2, 769299, 2021
112021
Towards the digital twin (DT) of narrow-band Internet of Things (NBIoT) wireless communication in industrial indoor environment
M Dangana, S Ansari, SM Asad, S Hussain, MA Imran
Sensors 22 (23), 9039, 2022
82022
Coverage and throughput analysis of an energy efficient UAV base station positioning scheme
AI Abubakar, MS Mollel, O Onireti, M Ozturk, I Ahmad, SM Asad, Y Sambo, ...
Computer Networks 232, 109854, 2023
72023
Revenue maximization through cell switching and spectrum leasing in 5g hetnets
AI Abubakar, C Ozturk, M Ozturk, MS Mollel, SM Asad, NU Hassan, ...
IEEE Access 10, 48301-48317, 2022
52022
Mobility management in the applications of 5G and beyond: a handover skipping topology analysis
SM Asad, PV Klaine, RNB Rais, S Hussain, QH Abbasi, MA Imran
2022 4th Global Power, Energy and Communication Conference (GPECOM), 650-654, 2022
42022
Employing machine learning for predicting transportation modes under the covid-19 pandemic: A mobility-trends analysis
SM Asad, K Dashtipour, RNB Rais, S Hussain, QH Abbasi, MA Imran
2021 International Conference on UK-China Emerging Technologies (UCET), 235-240, 2021
22021
Context-aware handover skipping for train passengers in next generation wireless networks
SM Asad, P Klaine, RNB Rais, M Mollel, S Hussain, Q Abbasi, M Imran
Journal Communications Networks (JCN), 2023
12023
Blockchain‐enabled handover skipping for high mobility train passengers
SM Asad, PV Klaine, RNB Rais, S Hussain, QH Abbasi, MA Imran
Electronics Letters 58 (25), 978-981, 2022
12022
Blockchain-empowered Secure Spectrum Sharing for Next Generation Train Networks
SM Asad, X Zhang, Y Sun, RNB Rais, S Hussain, QH Abbasi, MA Imran
IEEE Access, 2024
2024
User mobility prediction and management using machine learning
SM Asad
University of Glasgow, 2022
2022
Performance Analysis of Downlink Inter Cell Interference Coordination in the LTE-Advanced System
SM Asad
University of Surrey, United Kingdom, 2010
2010
2023 Index Journal of Communications and Networks, Volume 25
QH Abbasi, H Ahn, Y Ahn, M Akkoç, JM Alcaraz-Calero, MS Alouini, ...
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