Novel Multilayered Cellular Automata for Flying Cells Positioning on 5G Cellular Self-Organising Networks

Abstract

There will be a profound impact from 5G to develop smart cities. Questions such as “How telecommunication operators will efficiently provide network infrastructure”, “When and where the quality of service parameters are degraded or below expected” are to be considered. In this context, the use of base stations carried by Unmanned Aerial Vehicles (UAV) acting as flying cells to compensate areas where telecommunications systems are challenged by abnormal conditions during their operation has attracted attention. In this paper, we propose an intelligent solution based on a novel multilayered cellular automata for positioning flying cells and improvement of network capacity in context heavy traffic situations as congested cars in avenues in some hours of the day, crowded events, disaster or hot spot traffic. In our distributed approach, all UAV base stations operate in parallel. The self-organisation arises from an emergent pattern based on applying simple rules in a defined neighbourhood. The proposed scheme considers both backhaul and radio access network constraints, and user requirements in terms of downlink throughput. Simulation results show that the proposed algorithm performs favourably compared with other schemes in terms of all metrics considered. Therefore, we provide a solution for rapid and efficient positioning of multiple UAV base stations to respond in real time to urgent network changes.

Keywords

• Context heavy traffic situation
• distributed scheme
• flying cells positioning
• novel multilayered cellular automata
• telecommunications systems