Handover in mobility-aware caching strategy for LEO satellite-based overlay system with content delivery network
Cuong Manh Ho, Anh-Tien Tran, Chunghyun Lee, Duc Thien Hua, Sungrae Cho · 2022
In recent years, video has become a tremendous growth of media in the content delivery network (CDN) coupled with the enormous increase of users. However, it leads to new challenges including an explosion of data demand on networking resources, backhaul bottleneck, and many congestions between transmissions in the network. To address these network congestions and minimize the content download latency, an LEO Satellite-based overlay system in CDN is proposed. A Low Earth orbit (LEO) satellite network, where the user equipment (UE) is covered by multiple satellites, is an important solution to the wireless communication network in the future. To ensure the quality of the service of the LEO satellite network, the handover problem and caching problem need to be considered. The paper focuses on a wireless network consisting of various caching nodes to serve users' requests supported by an LEO satellite-based overlay system. Our goal is the maximization the number of UEs covered by a Satellite by considering the location of users and the Received Signal Strength Indicator (RSSI) of users to select the best action. The Deep Reinforcement Learning (DRL) with multi-agent Q learning algorithm and Caching update algorithm with the popularity parameters are proposed to solve Problem statements of our System Model.