Research on 5G Network Evaluation Method Base on Perceptual Peer to Peer

Xiaomeng Zhu, Yuting Zheng, Bei Li, Yi Li, Yuchao Jin, Rui Xia, Lexi Xu, Zixiang Di, Xinzhou Cheng
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Abstract

The introduction of co-construction and sharing makes the network structure increasingly complex. The 5G network should meet the business needs of both operators. How to evaluate the network perception of both users more comprehensively has become a new challenge. This paper proposes a 5G network evaluation method based on perceptual peer-to-peer. The big data modeling is used to determine the judgment criteria for perceived peer-to-peer, and the difference ranking is selected to intuitively reflect difference degree of the area where the community to be evaluated is located. This research can intuitively reflect the perception equivalence of different regions and the contribution of different indicators, and provide an objective basis for subsequent targeted network optimization and adjustment.
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基于感知对等的5G网络评估方法研究
共建共享的引入使得网络结构日趋复杂。5G网络应满足两家运营商的业务需求。如何更全面地评价两种用户的网络感知成为一个新的挑战。提出了一种基于感知点对点的5G网络评估方法。通过大数据建模,确定感知点对点的判断标准,选择差异排名,直观反映待评价社区所在地区的差异程度。本研究可以直观地反映不同区域的感知等效性和不同指标的贡献,为后续有针对性的网络优化调整提供客观依据。
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