Abstarct: Recently, heterogeneous cellular networks with the ability to store content as a convenient way to navigate with increasing demand has been developed to survey low-latency multimedia devices and wing data rates in fifth-generation cellular networks. In general, content storage networks work in two separate time phases, called Content Caching Phase and Content Delivery Phase. In the Caching Phase, the goal is to design a content storage algorithm to improve the delivery efficiency of content delivered on the network. To this end, by combining strategies and sending the physical laxyer, we present an efficient storage algorithm using the benefits of flexible sending strategies in Bakhal wireless channels and simultaneous access. For this purpose, the designed contents caching algorithm is baxsed on the optimal allocation of caching resources in baxse Stations and radio sources of access channels and Bakhal channels. The use of new fifth-generation architectures is proposed as an appropriate solution to solve future challenges. In this regard, the use of Unmanned Aerial Vehicle (UAV) as Air baxse Station (ABS) and content caching in it, can improve the spectral efficiency of coverage and reliability. Air baxse Stations as a promising solution to meet traffic needs are the important part of future telecommunications network communications. In this dissertation, we present an overview of content storage in UAVs, then formulate a content caching problem baxsed on a predetermined caching strategy and the instantaneous users’ requests in the network. The goal in the proposed algorithm is to minimize the power consumption of UAVs. The results obtained in the simulations show that the design of contents caching algorithm, according to the conditions of telecommunication channels, reduces the power consumption of UAVs.