Joint Mobile Cell Positioning and Scheduler Selection in Locations Characterised by Substantial Obstacles

Positioning a mobile cell in a seaport environment presents unique challenges due to the high density of User Equipments (UEs) and obstacles causing shadowing effects. This paper addresses the problem of optimal positioning for a mobile cell within a defined area containing UEs, fixed cells, and obstacles. By formulating an optimisation problem, we consider variables including user associations and different types of scheduling for packet transmission. The mobile cell wireless backhaul is designed to meet the total capacity requirements of the UEs it serves, based on the optimal positioning determined by our solution approach. Using a Genetic Algorithm (GA) solver, we achieve significant gains, with objective capacity improvements of up to 200% for the 90th percentile. The proposed solution enhances network performance, especially in scenarios requiring increased capacity for emergency situations.
Comment: 8 pages, 10 figures