Optimal Placement for 5G Drone-BS Using SA and GA

This chapter proposes a system to determine the optimal number of drone-BS and their deployment positions needed to provide 5G cellular coverage to a given region, considering the 5G transmitter’s coverage range and energy constrains of the whole system. It analyzes the optimal deployment problem in different environments and with dynamic unmanned aerial surveillance vehicles (UAVs). The chapter considers making all or some of the UAVs mobile and tries different patterns of UAV placement for better results. The algorithm was used to solve the placement problem for both uniformly and clustery distributed targets, according to the authors, the results obtained showed that the proposed algorithm is very efficient for solving drone placement problems. 5G is specifically designed to provide quality of service to its users, which mean that it is capable of providing maximum bandwidth, reduce latency, error rate, and uptime.