A Novel Strategic Caching and Availability Optimization for Wireless Unmanned Aerial Vehicle Communication Networks

Abstract

The rowing complexity in the 5G technology has created a necessity for UAV(Unmanned Aerial Vehicle)-assisted cellular networks as base stations. This is helpful for a wider coverage with higher transmission rates as it addresses three critical issues, i.e. location, performance and bandwidth. Besides, the integration of caching into conventional UAV infrastructure has received significant attentions since it can bring contents and memory storage closer to a mobile device. In a dynamic resource caching for wireless mobile networks, drone’s settings contain important options for supporting a wide variety of applications and services, including the network access fee, quality of service (QoS) , number of cached contents, cache access fee and beaconing duration. A theoretic model based on game theory is developed to study the effect of competition among UAVs that have caching and sharing revenue model. Note that an optimal usage of UAV capabilities would thus lead to a cost-effective strategy for energy consumption and QoS requirements.