Load-Based Content Allocation for Mobile Cooperative Cache
Taiki Akiba, Celimuge Wu, Tsutomu Yoshinaga · 2022
The number of mobile users accessing high quality video content is increasing, which increases the load of content delivery networks (CDNs). To alleviate the network load, a distributed cooperative caching technique, in which each mobile device acts as a cache server and shares the cache through device-to-device (D2D) communication, has been proposed. However, efficient content placement among mobile devices remains a challenging problem as cache capacity of each mobile device is limited and is not in a fixed location. In this study, we propose a load-based content allocation (LBCA) method that efficiently distributes cache data onto mobile devices based on the load of base station (BS). The proposed scheme suits scalable video coding (SVC) that subdivides content data hierarchically and dynamically selects video quality depending on the network load. Our experiments demonstrate that the proposed cache control scheme increases the number of users who can view content even in a congested network, resulting in improved quality of experience (QoE) for the user.