A UAV base station deployment and content caching method

Abstract

The invention relates to a base station deployment and content caching method of an unmanned aerial vehicle, belonging to the technical field of wireless communication. Including the following steps: step 1), modeling user content demand identification; step 2), modeling user associated variables; step 3), modeling user content cache variables; step 4), modeling system bandwidth allocation identification; step 5) , modeling the UAV base station deployment area; step 6), modeling user data transmission rate; step 7), modeling user content acquisition delay; step 8), modeling system energy consumption; step 9), modeling system Total cost; step 10), modeling joint user associations and content caching constraints; step 11), determining UAV base station deployment and content caching strategies based on the minimization of the total system cost. The present invention can effectively guarantee the optimal deployment of drones and content placement under the premise of the minimum data rate requirement of each requesting user, and minimize the system cost.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and relates to a method for deploying a base station of an unmanned aerial vehicle and caching content. Background technique [0002] In recent years, due to the advancement of UAV manufacturing technology and the reduction of cost, the pace of UAV application in civilian and commercial fields has accelerated significantly. The use of UAVs in wireless communication systems has received more and more attention. Compared with traditional terrestrial communication systems, flexible and efficient deployment of UAVs can effectively improve communication system performance and user service experience. In addition, by applying Device-to-Device (D2D) and caching technology, some Request User (RU) is cached at the cellular base station (Base Station, BS), UAV and Service User (SU) The required content can be supported by the RU to directly obtain the required content without going through ...

AI Technical Summary

Problems solved by technology

[0003] At present, some articles have been researched on UAV deployment issues, such as a UAV deployment strategy based on maximizing the number of covered users; for cellular network content caching, existing articles have proposed a strategy based on maximizing the cache hit rate or based on caching overhead. However, the existing research rarely considers the problem of joint UAV base station deployment and content caching in cellular D2D networks; in addition, few articles jointly consider the delay and energy consumption required by users in the process of content acquisition, which is difficult Realize comprehensive network performance optimization

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