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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
292020
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
172020
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
102021
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
52023
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
2023
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
2022
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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