摘要
设备到设备(D2D)通信中信息传输过程不仅受物理通信条件影响,还与用户动态属性密切相关。为探讨信息传输与用户意识扩散之间的内在关系,该文将信息传输与用户意识扩散视作两种传播过程,并引入过程影响因子刻画两者相互作用。进一步地,建立了一种信息与用户意识耦合传播动力学模型,并进行了全面分析。其中,理论分析证明了模型平衡点的存在唯一性及其全局稳定性,这揭示了D2D通信中信息与用户意识耦合传播的最终状态。实验分析也验证了该理论结果。同时,与传统模型和未考虑过程影响的传播模型对比发现所提模型能扩大信息传播规模且能更准确刻画信息传播过程。
The information transmission process in Device to Device(D2D)communications is not only affected by physical communication conditions but also closely related to the dynamic properties of users.To explore the internal relationship between information transmission and user awareness diffusion,they are regarded as two propagation processes,and the interprocess interaction factors are introduced to describe the interaction in this paper.Furthermore,a coupling propagation dynamical model of information and user awareness is established and analyzed comprehensively.Specifically,the existence and uniqueness of the equilibrium and its global stability are proved through theoretical analysis,which reveals the final state of coupling propagation between information and user awareness in D2D communications.The theoretical results are also verified by experimental analysis.Meanwhile,compared with the traditional model and the propagation model without considering the interaction of process,the scale of information propagation can be expanded and the information propagation process can be described more accurately by the proposed model.
作者
甘臣权
刘安棋
张祖凡
祝清意
GAN Chenquan;LIU Anqi;ZHANG Zufan;ZHU Qingyi(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;School of Cyber Security and Information Law,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)
出处
《电子与信息学报》
EI
CSCD
北大核心
2022年第8期2767-2776,共10页
Journal of Electronics & Information Technology
基金
国家自然科学基金(61702066,61903056)
重庆市教委科学技术重点研究项目(KJZD-M201900601)
重庆市基础研究与前沿技术研究计划(cstc2021jcyj-msxmX0761,cstc2019jcyj-msxmX0681)
重庆市高等学校重点实验室资助课题(cqupt-mct-201901)。
关键词
D2D通信
用户意识
过程影响因子
耦合传播模型
全局稳定性
D2D communication
User awareness
Interprocess interaction factor
Coupling propagation model
Global stability