基于计算图的移动通信网络物联网业务覆盖优化算法及实现

doi:10.11959/j.issn.2096-3750.2019.00102

Abstract

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.

Key words: Internet of things, 5G, network parameter optimization, computational graph, momentum method

CLC Number:

TN915

Haobin WANG,Wei HUANGFU,Yaxi LIU,Wei LIU. 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.

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参数	数值
发射功率	18.2 dBm
天线频率	2 600 MHz
N_s	40 000
N_a	70
噪声	-110 dBm
Th ^RSRP	-88 dBm
T ^SINRh	-3 dBm

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

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