基于用户行为分析和随机几何的未来网络部署策略

2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC) Pub Date : 2016-09-01 DOI:10.1109/ICNIDC.2016.7974535

Weicheng Liao, Jun Gu, Xinyu Gu, Di Wu, Cong Guo

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引用次数: 1

摘要

在未来的超密集网络(UDN)中，在宏蜂窝中部署新的小蜂窝是提高用户数据速率(UDR)的一种解决方案。如何以及在哪里部署小型蜂窝是网络运营商面临的问题。本文分别提出了基于随机几何和用户行为分析的策略来解决这些问题。分析反映实时网络状况的智能手机数据集，并在此基础上进行流程和结果演示，为网络供应商提供建议。

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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Future network deployment strategy based on user behavior analysis and stochastic geometry

In the future Ultra Dense Network (UDN), deploying new small cells within macro cells is a solution to improve the User Data Rate (UDR). How and where to deploy the small cells are the questions network operator is facing. The paper presents strategies based on stochastic geometry and user behavior analysis to solve the problems separately. A smartphone dataset that reflects real-time network conditions is analyzed, based on which a process is conducted and results are demonstrated to give advice for network suppliers.

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来源期刊

2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)

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