Simon Atuah Asakipaam is a graduating PhD student in the Department of Telecommunications Engineering at KNUST. His research interests include Software-Defined Networking, Network Functions Virtualization, Wireless Sensor Networks, Next-Generation Mobile Networking technologies, Artificial Intelligence, and Smart Energy Technologies.
He successfully implemented an Adaptive Resource Allocation and Reconfiguration Algorithm that integrates Interlinear Programming (ILP) and Reinforcement Learning (RL) models for optimal resource provisioning and utilisation in Fifth Generation (5G) mobile network slicing.
The results of his research demonstrate that the proposed strategy significantly enhances mobile network infrastructure performance, increasing profit by up to 5 times and resource utilisation by up to 43.71% compared to using only the ILP model and reducing computational complexity by 0.4 times compared to using only the RL model.
Simon plans to refine and validate his proposed strategy in a real-world network environment.
He expresses his sincere gratitude for the invaluable financial support offered by the KNUST Engineering Education Project (KEEP) throughout his academic journey. He is also profoundly grateful for the encouragement and assistance received from the staff and management of KEEP.