Abstract
Device to Device (D2D) communication is a key technology in 5th generation wireless systems to increase communication capacity and spectral efficiency. Applying caching into D2D communication networks, the device can retrieve content from other devices by establishing D2D communication links. In this way, the backhaul traffic can be significantly reduced. However, most of the existing caching schemes in D2D are proactive caching, which cannot satisfy the requirement of real-time updating. In this paper, we propose an Indian Buffet Process based D2D caching strategy (IBPSC). Firstly, we construct a geographical D2D communication network to provide high quality D2D communications according to physical closeness between devices. Then devices are divided into several social communities. Devices are ranked by their node importance to community in each community. The base station makes caching decisions for devices according to contrition degree. Experimental results show that IBPSC achieves best network performance.
Highlights
According to Cisco VNI (Visual Networking Index) report, mobile data traffic will grow 7-fold from 2017 to 2022, and video traffic will be 79% of global mobile data traffic by 2022
To provide high quality D2D communication links, a reliable D2D communication network is constructed according to physical closeness between devices
We introduced an Indian Buffet Process based socially-aware D2D caching strategy (IBPSC)
Summary
According to Cisco VNI (Visual Networking Index) report, mobile data traffic will grow 7-fold from 2017 to 2022, and video traffic will be 79% of global mobile data traffic by 2022. Within D2D communication network, device can communicate with nearby device directly by establishing D2D communication link between them Another potential solution to this challenge is caching, which has been proved can improve network performance of several network scenarios [1,2]. Several studies have proved that applying caching strategy into D2D communication network can offload backhaul traffic and improve user experience [8,9]. Devices in the reliable D2D communication network are grouped into several social communities according to interaction between devices and ranked by their node importance to community. The caching decision is made by BS depending on contribution degree, which is calculated by BS according to IBP. We propose an IBP based social-aware caching strategy.
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