Coverage optimization algorithm and implementation based on computational graph for mobile communication network and IoT service

Haobin WANG; Wei HUANGFU; Yaxi LIU; Wei LIU

doi:10.11959/j.issn.2096-3750.2019.00102

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Coverage optimization algorithm and implementation based on computational graph for mobile communication network and IoT service

Service and Application | 更新时间：2024-06-05

- Coverage optimization algorithm and implementation based on computational graph for mobile communication network and IoT service
- Chinese Journal on Internet of Things Vol. 3, Issue 2, Pages: 100-107(2019)
- 作者机构：
  
  1. 北京科技大学计算机与通信工程学院人工智能研究院，北京 100083
  2. 北京市融合网络与泛在业务工程技术研究中心，北京 100083
  3. 中国电信股份有限公司北京研究院，北京 102209
  4. 中国移动通信集团设计院有限公司，北京 100080
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-3750.2019.00102
  CLC： TN915
- Published：30 June 2019，
  
  Published Online：2019-06，
- 稿件说明：
移动端阅览
HAOBIN WANG, WEI HUANGFU, YAXI LIU, et al. Coverage optimization algorithm and implementation based on computational graph for mobile communication network and IoT service. [J]. Chinese journal on internet of things, 2019, 3(2): 100-107.
DOI：

HAOBIN WANG, WEI HUANGFU, YAXI LIU, et al. Coverage optimization algorithm and implementation based on computational graph for mobile communication network and IoT service. [J]. Chinese journal on internet of things, 2019, 3(2): 100-107. DOI： 10.11959/j.issn.2096-3750.2019.00102.

摘要

面向物联网高密度、大连接和差异性服务质量的移动通信网络优化具有重要的研究意义。在此条件下，移动通信网络优化是一种多参数的、针对高计算成本函数的复杂优化问题，基于计算图的移动通信网络覆盖质量评估的计算方式，为运算的并行化提供依据，进而基于计算图获得了覆盖质量指标的梯度计算方式，利用基于反向传播获取的梯度信息指导基站天线工作参数的优化，并引入动量法加速了优化问题的收敛速度。仿真结果表明，本算法适用于移动通信网络的覆盖优化计算。

Abstract

The research on the mobile communication network optimization for the Internet of things large connection and differential service quality has great significance.Mobile communication network optimization is a multi-parameter complex optimization problem with high computational cost function.In order to provide the basis for parallelization of operations

the calculation method of the coverage quality assessment of the mobile communication network based on the computational graph was introduced.Based on the calculation graph

the derivative calculation method of the coverage quality index was obtained

by back propagation to guide the optimization of the antenna parameters.The momentum method was used to accelerate the convergence speed of the optimization algorithm.The simulation results show that the algorithm is suitable for the coverage optimization in mobile communication network.

关键词

物联网5G网络参数优化计算图动量法

Keywords

Internet of things5Gnetwork parameter optimizationcomputational graphmomentum method

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