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Muhammad Ali Imran, FIEEE, FRSE, FRSA, FIET, FEAI, CEng, SFHEA
Muhammad Ali Imran, FIEEE, FRSE, FRSA, FIET, FEAI, CEng, SFHEA
Professor of Communication Systems - University of Glasgow
Verified email at glasgow.ac.uk - Homepage
Title
Cited by
Cited by
Year
How much energy is needed to run a wireless network?
G Auer, V Giannini, C Desset, I Godor, P Skillermark, M Olsson, MA Imran, ...
IEEE wireless communications 18 (5), 40-49, 2011
16382011
Non-intrusive load monitoring approaches for disaggregated energy sensing: A survey
A Zoha, A Gluhak, MA Imran, S Rajasegarar
Sensors 12 (12), 16838-16866, 2012
10402012
Software-defined industrial internet of things in the context of industry 4.0
J Wan, S Tang, Z Shu, D Li, S Wang, M Imran, AV Vasilakos
IEEE Sensors Journal 16 (20), 7373-7380, 2016
7652016
D2. 3: Energy efficiency analysis of the reference systems, areas of improvements and target breakdown
G Auer, O Blume, V Giannini, I Godor, M Imran, Y Jading, E Katranaras, ...
Earth 20 (10), 2010
6422010
5G backhaul challenges and emerging research directions: A survey
M Jaber, MA Imran, R Tafazolli, A Tukmanov
IEEE access 4, 1743-1766, 2016
5892016
Internet-of-things-based smart cities: Recent advances and challenges
Y Mehmood, F Ahmad, I Yaqoob, A Adnane, M Imran, S Guizani
IEEE Communications Magazine 55 (9), 16-24, 2017
5732017
A speculative study on 6G
F Tariq, MRA Khandaker, KK Wong, MA Imran, M Bennis, M Debbah
IEEE Wireless Communications 27 (4), 118-125, 2020
5682020
A survey of self organisation in future cellular networks
OG Aliu, A Imran, MA Imran, B Evans
Communications Surveys & Tutorials, IEEE 15 (1), 336-361, 2013
4832013
Uplink non-orthogonal multiple access for 5G wireless networks
M Al-Imari, P Xiao, MA Imran, R Tafazolli
2014 11th international symposium on wireless communications systems (ISWCS …, 2014
4622014
A survey of machine learning techniques applied to self-organizing cellular networks
PV Klaine, MA Imran, O Onireti, RD Souza
IEEE Communications Surveys & Tutorials 19 (4), 2392-2431, 2017
4592017
MmWave massive-MIMO-based wireless backhaul for the 5G ultra-dense network
Z Gao, L Dai, D Mi, Z Wang, MA Imran, MZ Shakir
IEEE Wireless communications 22 (5), 13-21, 2015
4432015
5G for vehicular communications
SAA Shah, E Ahmed, M Imran, S Zeadally
IEEE Communications Magazine 56 (1), 111-117, 2018
3332018
Real-time big data processing for anomaly detection: A survey
RAA Habeeb, F Nasaruddin, A Gani, IAT Hashem, E Ahmed, M Imran
International Journal of Information Management 45, 289-307, 2019
2932019
Flexible power modeling of LTE base stations
C Desset, B Debaillie, V Giannini, A Fehske, G Auer, H Holtkamp, ...
2012 IEEE wireless communications and networking conference (WCNC), 2858-2862, 2012
2892012
Cellular energy efficiency evaluation framework
G Auer, V Giannini, I Gódor, P Skillermark, M Olsson, MA Imran, D Sabella, ...
2011 IEEE 73rd vehicular technology conference (VTC Spring), 1-6, 2011
2572011
Mobile crowd sensing for traffic prediction in internet of vehicles
J Wan, J Liu, Z Shao, AV Vasilakos, M Imran, K Zhou
Sensors 16 (1), 88, 2016
2442016
The role of edge computing in internet of things
N Hassan, S Gillani, E Ahmed, I Yaqoob, M Imran
IEEE communications magazine 56 (11), 110-115, 2018
2362018
Enabling massive IoT in 5G and beyond systems: PHY radio frame design considerations
A Ijaz, L Zhang, M Grau, A Mohamed, S Vural, AU Quddus, MA Imran, ...
IEEE Access 4, 3322-3339, 2016
2352016
A survey of simulators, emulators and testbeds for wireless sensor networks
M Imran, AM Said, H Hasbullah
2010 International Symposium on Information Technology 2, 897-902, 2010
2192010
Deep learning in big data analytics: a comparative study
B Jan, H Farman, M Khan, M Imran, IU Islam, A Ahmad, S Ali, G Jeon
Computers & Electrical Engineering 75, 275-287, 2019
1932019
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Articles 1–20