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Dr Mohamed H. H. Abdelwahab

Postdoctoral Research Fellow
+44 (0)1483 686259
02 BA 00

Academic and research departments

Surrey Space Centre.

My publications


Abdelrahim Mohamed, Hang Ruan, Mohamed Abdelwahab, Bogdan Dorneanu, Pei Xiao, Harvey Arellano-Garcia, Yang Gao, Rahim Tafazolli (2020)An Inter-disciplinary Modelling Approach in Industrial 5G/6G and Machine Learning Era, In: IEEE International Conference on Communications (ICC) IEEE

Recently, the fifth-generation (5G) cellular system has been standardised. As opposed to legacy cellular systems geared towards broadband services, the 5G system identifies key use cases for ultra-reliable and low latency communications (URLLC) and massive machine-type communications (mMTC). These intrinsic 5G capabilities enable promising sensor-based vertical applications and services such as industrial process automation. The latter includes autonomous fault detection and prediction, optimised operations and proactive control. Such applications enable equipping industrial plants with a sixth sense (6S) for optimised operations and fault avoidance. In this direction, we introduce an inter-disciplinary approach integrating wireless sensor networks with machine learningenabled industrial plants to build a step towards developing this 6S technology. We develop a modular-based system that can be adapted to the vertical-specific elements. Without loss of generalisation, exemplary use cases are developed and presented including a fault detection/prediction scheme, and a sensor density-based boundary between orthogonal and non-orthogonal transmissions. The proposed schemes and modelling approach are implemented in a real chemical plant for testing purposes, and a high fault detection and prediction accuracy is achieved coupled with optimised sensor density analysis.