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Application of AI to mobile network operation / Tomoyuki Otani ... [el al.]

By: Contributor(s): Publication details: Geneva : International Telecommunication Union, 2017.Description: 7 pContent type:
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In: ITU Journal: ICT Discoveries Vol. 2018, no. 1, p. 59-65Abstract: With the introduction of network virtualization and the implementation of 5G/IoT, mobile networks will offer more diversified services and be more complex. This raises a concern about a significant rise in network operation workload. Meanwhile, artificial intelligence (AI) technology is making remarkable progress and is expected to solve human resource shortages in various fields. Likewise, the mobile industry is gaining momentum toward the application of AI to network operation to improve the efficiency of mobile network operation [1][2].This paper will discuss the possibility of applying AI technology to network operation and presents some use cases to show good prospects for AI-driven network operation.
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With the introduction of network virtualization and the implementation of 5G/IoT, mobile networks will offer more diversified services and be more complex. This raises a concern about a significant rise in network operation workload. Meanwhile, artificial intelligence (AI) technology is making remarkable progress and is expected to solve human resource shortages in various fields. Likewise, the mobile industry is gaining momentum toward the application of AI to network operation to improve the efficiency of mobile network operation [1][2].This paper will discuss the possibility of applying AI technology to network operation and presents some use cases to show good prospects for AI-driven network operation.

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