ITU AI/ML in 5G Challenge —” Network Topology Optimization”

The existing network topology planning does not fully consider the future growth of network traffic, and faces the problem of uneven utilization of link capacity. Therefore, the existing network topology need to be optimized. By restructuring the sites on the unbalanced links to achieve the global network fine-grained expansion and to increase the capacity utilization efficiency. This presentation introduces topology optimization solutions for balanced link capacity utilization. Network information data will reflect the network topology, the network’s traffic matrix and the network capacity utilization. This talk introduces problem statement ITU-ML5G-PS-007 “network topology optimization” from 2020 ITU AI/ML in 5G Challenge (China Region), including the background, problem definition, data description, submission requirements, evaluation index, and typical methods to solve the problem.

Speakers, Panelists and Moderators

  • QIANG CHENG
    QIANG CHENG
    Focus Group Vice-Chairman
    China Academy of Information and Communications Technology (CAICT)
    Cheng Qiang, he is senior engineer of China Academy of Information and Communications Technology. He serves as Vice Chairman of ITU-T FG-ML5G from 2019-2020 and the Chairman of Telecom Project Group of Artificial Intelligence Industry Alliance of China from 2016. He engaged in broadband network technology and artificial intelligent research, presided over the drafting of more than 20 communications industry standards and China national standards. He will give a welcome speech from ITU and AIIA, and a brief introduction of  AI/ML challenge.
  • WANG XING
    WANG XING
    China Mobile Research Institute
    Wang Xing received a master's degree from Beijing Normal University and engaged in network intelligence algorithm research at China Mobile Research Institute. Her research fields include spatio-temporal network data mining, time series prediction, reinforcement learning, network topology optimization, deep learning, etc. Wang Xing introduces the problem statement “network topology optimization” from 2020 ITU AI/ML in 5G Challenge (China Region), including the background, problem definition, data description, submission requirements, evaluation index, and typical methods to solve the problem.

Date

26 Aug 2020
Sessions

Topics

5G
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