关键词: 端到端通信, 内容共享, 知识图谱, 合作意愿, 功率控制

Abstract: Device-to-Device(D2D) communication leverages the local computing and caching capabilities of the edge network to meet the demand for low-latency, energy-efficient content sharing among future mobile network users. The performance improvement of content sharing efficiency in edge networks not only depends on user social relationships, but also heavily reliant on the characteristics of end devices, such as computation, storage, and residual energy resources. Therefore, a D2D content sharing mechanism was proposed to maximize energy efficiency with a multidimensional association model of user-device-content, which took into account device heterogeneity, user sociality, and interest variability. Firstly, the multi-objective constraint problem about the user cost-benefit maximization was transformed into the optimal node selection and power control problem. And a multi-dimensional knowledge association feature and graph model for user-device-content was constructed by processing structurally multi-dimensional features related to devices, such as computing resources and storage resources. Then, the distance measurement method of users on device attributes and social attributes was studied, and a cooperative willingness expression model was proposed based on user social and device graphs. Finally, according to users' willingness to cooperate, a D2D collaboration cluster oriented to content sharing was constructed, and an energy efficiency-oriented cost control model was designed to maximize the performance of network sharing. The experimental results based on the real user device dataset and the infocom06 dataset shows that the proposed power control algorithm based on shared willingness has improved the system and speed by about 97% and 11%, respectively, compared to the nearest selection method and the selection algorithm without considering device willingness. User satisfaction has increased by about 73% and 4.3%, and energy efficiency has improved by about 58% and 9.7%, respectively. This verifies the effectiveness of the proposed algorithm in terms of transmission rate and energy efficiency Effectiveness in terms of energy efficiency and user satisfaction.

Key words: D2D (Device-to-Device) communication, content sharing, knowledge graph, cooperative willingness, power control