Placement of aerial base stations for 5G and beyond

Chin, Yong Hao (2024) Placement of aerial base stations for 5G and beyond. Final Year Project, UTAR.

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Abstract

The significant increase in the global traffic demands has impelled the rising in request for small cell base stations. The market size for 5G Base Station is experienced rapid growth since 2020 and expected to keep increasing at a compound annual growth rate (CAGR) of 72.5% within 2023 and 2030. This upcoming trend of increment due to high demands in 5G applications, such as Internet of Things (IoT) devices, high-speed data transmission, massive connections between machines in automative and manufacturing, and low�latency communications. To overcome the issues of overwhelming numbers of 5G devices, application of unmanned aerial vehicle-mounted aerial base station (UAV-ABS) appears promising to strengthen the capacity and coverage of 5G networks and beyond. However, the optimal positions of ABSs require consideration of quality of service (QoS), network coverage, interference management and collision avoidance. This project presents a three-dimensional multi-ABS placement scheme based on the whale optimization algorithm (WOA). A joint multi-objective ABS placement problem is formulated with objectives to simultaneously maximise

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