Abstract
With device-to-device (D2D) communication, user equipment can share data with each other without the involvement of network infrastructures. In order to maintain the Quality of Service (QoS) and Quality of Experience (QoE) for user applications in D2D communications, most existing schemes use proactive content caching that needs to predict content popularity before making caching decisions which may result in privacy leakage, since the information of users is collected to train a deep learning-based model to predict content popularity. Therefore, it is crucial to guarantee secure data collection in machine learning-based framework. In this paper, we propose a privacy-preserving D2D caching scheme with a passive content caching strategy based on node importance, which can deliver more efficient caching and prevent the potential leakage of user privacy. The scheme is based on softwaredefined networking (SDN), in which the controller is responsible for calculating node importance of devices according to the information of requests and encounters collected by SDN switches. Base station will decide which device can establish reliable and secure communication with content requester based on historical information. The simulation results show that the proposed strategy can outperform other D2D caching strategies in terms of cache hit rate and data rate.
Highlights
During the recent years, with the rapid development of the mobile Internet, mobile data traffic has increased exponentially
By deploying caches in the core network [4], access network [5,6,7,8], and user device [9, 10] in the 5G mobile communication network architecture, the popular content can be cached at the network edges, which can effectively reduce network congestion and improve network performance. e content is cached to the user devices, and a D2D caching network is constructed. us, user devices can share content via the D2D communication link without the use of access points, which can effectively reduce backhaul traffic and base station load. e caching mechanism can determine the caching position and caching contents, is the kernel of the D2D caching network, and determines the caching performance
(iii) we evaluate the performance of the proposed D2D caching strategy and other two wellknown caching strategies. e simulation results show that the caching strategy based on node importance proposed by this paper could effectively improve network performance compared to the other two caching strategies
Summary
With the rapid development of the mobile Internet, mobile data traffic has increased exponentially. Us, user devices can share content via the D2D communication link without the use of access points, which can effectively reduce backhaul traffic and base station load. One user distributed a short video on TikTok, and it was accessed 30,000 times in a couple of minutes In such cases, a proactive caching strategy cannot predict the popularity of popular video content in time. (i) Firstly, we introduce a privacy-preserving D2D caching scheme with passive content caching based on node importance to improve the security and performance of D2D caching network. E device with higher node importance and social trust will be selected to establish reliable and secure D2D communication link with the content requester. E simulation results show that the caching strategy based on node importance proposed by this paper could effectively improve network performance compared to the other two caching strategies.
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