Performance Evaluation in Large Scale Cooperative Wireless Fusion Networks: Opportunities and Challenges

Yuan Gao, Jiang Cao, Weigui Zhou, Chao Qing, Yang Guo, Yanchang Du, Junsong Yin, Su Hu, Xiangyang Li
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Abstract

The deployment of 5G and its advanced generation wireless personal communication system will greatly affect our daily life. Due to the complexity and scale of the network, a proper evaluation method must be developed to monitor the status of the system and provide executive solution to optimize the network. In this paper, we summarize the state of art in evaluation of large scale cooperative wireless fusion networks, and discovered that there is rarely effective method to make proper estimation and provide precise optimization to network architecture, resource allocation and reform of network elements. So both benefits and challenges are provided to make a clear view of the system, deep learning based method is also proposed as an open discussion problem.
大规模协同无线融合网络的性能评估:机遇与挑战
5G及其先进一代无线个人通信系统的部署将极大地影响我们的日常生活。由于网络的复杂性和规模,必须开发一种合适的评估方法来监测系统的状态,并提供执行方案来优化网络。本文对大规模协同无线融合网络的评估现状进行了总结,发现目前还没有有效的方法对网络架构、资源配置和网元改革进行合理的评估和精确的优化。因此,提供了好处和挑战,使系统有一个清晰的视图,并提出了基于深度学习的方法作为一个开放的讨论问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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