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 

摘要： 端到端(D2D)通信利用边缘网络的本地计算和缓存能力，可以满足未来移动网络用户低延时、高能效的内容共享需求。边缘网络内容共享效率性能的提升不仅取决于用户社交关系，同时也高度依赖于终端设备的特征，如计算、存储和剩余能量资源等。因此，本文以最大化能量效率为目标，综合考虑设备异质性、用户社交性和兴趣差异性，提出一种用户-设备-内容多维度关联模型的D2D内容共享机制。首先，基于用户成本效益最大化将多目标约束问题转化为最优节点选择和功率控制问题，构建了面向用户-设备-内容的多维度知识关联特征及图谱模型，将设备相关的计算资源、存储资源等多维特征结构化处理；然后，研究用户在设备属性和社交属性上的意愿度度量方法，提出了一种基于用户社交和设备图谱的合作意愿度度量模型；最后，根据用户合作意愿度构建面向内容共享的D2D协作簇，设计了一种面向能量效率的成本控制模型以最大化网络共享性能。基于真实用户设备数据集和infocom06数据集的实验结果表明，本文提出的基于共享意愿度的功率控制算法与最近选择方法和不考虑设备意愿度的选择算法相比，系统和速率分别提升了约97%和11%，用户满意度分别提升了约73%和4.3%，能效分别提升了约58%和9.7%，验证了所提算法在传输速率、能量效率和用户满意度等方面的有效性。

关键词: 端到端通信, 内容共享, 知识图谱, 合作意愿, 功率控制