Heterogeneous Network Deployment Algorithm for Distribution Network

With the development of new power system, a batch of new distribution network services will bloom. In order to adapt to the developing demands of distribution network services, a heterogeneous network deployment algorithm based on improved genetic algorithm (HNDA-IGA) is proposed. The algorithm considers the service distribution, quantifies the service importance according to the service indicators and the number of services, calculates the weighted signal-to-noise ratio (SNR) based on service importance, takes the weighted SNR, the deployment cost and the coverage overlap as the optimization objective, and adopts an improved genetic algorithm to perform the deployment of macro and micro base stations in heterogeneous networks. And it is clarified that the HNDA-IGA algorithm can effectively improve the service weighted SNR, decrease the cost of base station deployment and increase the deployment benefits of heterogeneous network for distribution network.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/itnec60942.2024.10733117
Citations
1
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
0.21
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Heterogeneous Network Deployment Algorithm for Distribution Network

Lun Tang, Yuanchun Tang, Qingrui Guo, Yanan Xin et al.
1 citations
Power Systems and Technologies
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article

Heterogeneous Network Deployment Algorithm for Distribution Network

Lun Tang, Yuanchun Tang, Qingrui Guo, Yanan Xin, Xuerang Guo, Ling He, Huiting Yang
article en
1 citations

Abstract

With the development of new power system, a batch of new distribution network services will bloom. In order to adapt to the developing demands of distribution network services, a heterogeneous network deployment algorithm based on improved genetic algorithm (HNDA-IGA) is proposed. The algorithm considers the service distribution, quantifies the service importance according to the service indicators and the number of services, calculates the weighted signal-to-noise ratio (SNR) based on service importance, takes the weighted SNR, the deployment cost and the coverage overlap as the optimization objective, and adopts an improved genetic algorithm to perform the deployment of macro and micro base stations in heterogeneous networks. And it is clarified that the HNDA-IGA algorithm can effectively improve the service weighted SNR, decrease the cost of base station deployment and increase the deployment benefits of heterogeneous network for distribution network.

Chongqing University of Posts and Telecommunications (CN), Inner Mongolia Electric Power (China) (CN), Fujian Electric Power Survey & Design Institute (CN)
Openalex Percentile: Top 46%
Power Systems and Technologies
0.21
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