This chapter provides the use of intelligent algorithms to determine the best position of unmanned aerial vehicles (UAVs) which can be used to enhance the capabilities of existing cellular networks. It presents an intelligent positioning algorithm based on reinforcement learning (RL) and evaluates its performance in an emergency communication network (ECN) scenario. The chapter also presents future applications of UAVs in cellular networks and the state‐of‐the‐art of positioning systems for UAVs in communication networks. It contains a brief summary of how RL works and results of simulations in an ECN scenario. It is clear from the simulations that using intelligent positioning algorithms based on RL is a viable strategy for that. However, more research is needed to design intelligent solutions which can improve multiple KPIs and generalize from past experiences at the same time.
Intelligent Positioning of UAVs for Future Cellular Networks
2019-08-12
16 pages
Article/Chapter (Book)
Electronic Resource
English
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