Aiming at the characteristics of high-density and random deployment of 5G cellular networks, through efficient network-level deployment methods, the network can quickly and efficiently adapt to large-scale dynamic changes in user traffic. Aiming at the need for 5G systems to meet the requirements of high-speed mobile environment communications, this paper deeply studies the factors that affect communication quality in mobile scenarios and their relationships. Based on this, around the content transmission and distribution of information, a 5G mobile communication network architecture based on content-centric network technology is proposed. To meet the deployment requirements of cross-domain VNF (Virtual Network Function) during the deployment phase, in order to solve the problem that the existing cross-domain deployment algorithms do not take into account node computing resources and link bandwidth resources, this paper proposes a DPSO-K (Discrete Particle Swarm Optimization—Kruskal) 5G cross-domain virtual network function deployment method. Compared with the traditional method, the overall cost is reduced, and the cost is least affected by the number of data fields. In different practical scenarios, the resource reduction gain of the strategy is evaluated. Simulation results verify the impact of different system parameters on the energy efficiency of the network. The results show that this method has obvious advantages in optimizing the energy spectrum efficiency of randomly deployed networks.

针对5G蜂窝网络的高密度和随机部署的特点，通过有效的网络级部署方法，网络可以快速有效地适应用户流量的大规模动态变化。针对5G系统满足高速移动环境通信需求的需求，本文深入研究了影响移动场景下通信质量的因素及其关系。基于此，围绕信息的内容传输和分发，提出了一种基于内容为中心的网络技术的5G移动通信网络架构。为了在部署阶段满足跨域VNF（虚拟网络功能）的部署要求，为了解决现有跨域部署算法不考虑节点计算资源和链路带宽资源的问题，提出了一种DPSO-K（离散粒子群优化—Kruskal）5G跨域虚拟网络功能部署方法。方法。与传统方法相比，减少了总体成本，并且数据字段数量对成本的影响最小。在不同的实际情况下，将评估该策略的资源减少收益。仿真结果验证了不同系统参数对网络能源效率的影响。结果表明，该方法在优化随机部署网络的能谱效率方面具有明显优势。本文提出了一种DPSO-K（离散粒子群优化—Kruskal）5G跨域虚拟网络功能部署方法。与传统方法相比，减少了总体成本，并且数据字段数量对成本的影响最小。在不同的实际情况下，将评估该策略的资源减少收益。仿真结果验证了不同系统参数对网络能源效率的影响。结果表明，该方法在优化随机部署网络的能谱效率方面具有明显优势。本文提出了一种DPSO-K（离散粒子群优化—Kruskal）5G跨域虚拟网络功能部署方法。与传统方法相比，减少了总体成本，并且数据字段数量对成本的影响最小。在不同的实际情况下，将评估该策略的资源减少收益。仿真结果验证了不同系统参数对网络能源效率的影响。结果表明，该方法在优化随机部署网络的能谱效率方面具有明显优势。评估该策略的资源减少收益。仿真结果验证了不同系统参数对网络能源效率的影响。结果表明，该方法在优化随机部署网络的能谱效率方面具有明显优势。评估该策略的资源减少收益。仿真结果验证了不同系统参数对网络能源效率的影响。结果表明，该方法在优化随机部署网络的能谱效率方面具有明显优势。