• Title/Summary/Keyword: 셀플래닝

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Method of Predicting Path Loss and Base Station Topography Classification using Artificial Intelligent in Mobile Communication Systems (이동통신 시스템에서 인공지능을 이용한 경로 손실 예측 및 기지국 지형 구분 방법)

  • Kim, Jaejeong;Lee, Heejun;Ji, Seunghwan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.5
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    • pp.703-713
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    • 2022
  • Accurate and rapid establishment of mobile communication is important in mobile communication system. Currently, the base station parameters to establish a network are determined by cell planning tool. However, it is necessary to perform new cell planning for each new installation of the base station, and there may be a problem that parameters are not suitable for the actual environment are set, such as obstacle information that is not applied in the cell planning tool. In this paper, we proposed methods for path loss prediction using DNN and topographical division using CNN in SON server. After topography classification, a SON server configures the base station parameters according to topography, and update parameters for each topography. The proposed methods can configure the base station parameters automatically that are considered topography information and environmental changes.

Rapid Self-Configuration and Optimization of Mobile Communication Network Base Station using Artificial Intelligent and SON Technology (인공지능과 자율운용 기술을 이용한 긴급형 이동통신 기지국 자율설정 및 최적화)

  • Kim, Jaejeong;Lee, Heejun;Ji, Seunghwan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.9
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    • pp.1357-1366
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    • 2022
  • It is important to quickly and accurately build a disaster network or tactical mobile communication network adapting to the field. In configuring the traditional wireless communication systems, the parameters of the base station are set through cell planning. However, for cell planning, information on the environment must be established in advance. If parameters which are not appropriate for the field are used, because they are not reflected in cell planning, additional optimization must be carried out to solve problems and improve performance after network construction. In this paper, we present a rapid mobile communication network construction and optimization method using artificial intelligence and SON technologies in mobile communication base stations. After automatically setting the base station parameters using the CNN model that classifies the terrain with path loss prediction through the DNN model from the location of the base station and the measurement information, the path loss model enables continuous overage/capacity optimization.

LTE-R LinkBudget Analysis for channels interference in the case of sharing the Integrated Public Network Frequency (통합공공망 주파수 공용 환경에서의 LTE-R 링크버짓 분석)

  • Won, Hong-sun;Kim, Seong-cheol
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.10
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    • pp.1833-1839
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    • 2017
  • Korea Railway is enhancing the railway wireless communication system from VHF and TRS which have been used for 100 years to LTE-R starting with Ministry of Science and ICT's allocation of Integrated Public Network Frequency on December 2014. LTE-R has advantages on technology performance, also on ease of evolution based on standardization compared to existing technologies. However there are few problems that need to be solved to provide stable railway wireless services in the future. Due to national spectrum policy, LTE-R has frequency interference with Integrated Public Networks (PS-LTE, LTE-M ) and UHD-TV which was commercialized in 2017. This paper introduces performance changes caused by interferences which were founded from the test bed in Wonju~Gangneung LTE-R project and the result of RAN-Sharing. In addition, this paper suggests the standard for LTE-R cell planning in the case of sharing the Integrated Public Network Frequency by analyzing the changes of designed link-budget factor based on the test result.