Artificial Intelligence Paradigm for Customer Experience Management in Next-Generation Networks: Challenges and Perspectives

被引:20
|
作者
Gacanin, Haris [1 ]
Wagner, Mark [1 ]
机构
[1] Nokia Bell Labs, Berkeley Hts, NJ 07922 USA
来源
IEEE NETWORK | 2019年 / 33卷 / 02期
关键词
QUALITY; QOE;
D O I
10.1109/MNET.2019.1800015
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
With the advancements of next-generation programmable networks, traditional rule-based decision-making may not be able to adapt effectively to changing network and customer requirements and provide an optimal customer experience. CEM components and implementation challenges with respect to operator, network, and business requirements must be understood to meet required demands. This article gives an overview of CEM components and their design challenges. We elaborate on data analytics and artificial intelligence driven CEM and their functional differences. This overview provides a path toward an autonomous CEM framework in next-generation networks and sets the groundwork for future enhancements.
引用
收藏
页码:188 / 194
页数:7
相关论文
共 50 条
  • [1] Artificial Intelligence Control Logic in Next-Generation Programmable Networks
    Zotkiewicz, Mateusz
    Szalyga, Wiktor
    Domaszewicz, Jaroslaw
    Bak, Andrzej
    Kopertowski, Zbigniew
    Kozdrowski, Stanislaw
    APPLIED SCIENCES-BASEL, 2021, 11 (19):
  • [2] Artificial Intelligence Techniques for Next-Generation Massive Satellite Networks
    Al Homssi, Bassel
    Dakic, Kosta
    Wang, Ke
    Alpcan, Tansu
    Allen, Ben
    Boyce, Russell
    Kandeepan, Sithamparanathan
    Al-Hourani, Akram
    Saad, Walid
    IEEE COMMUNICATIONS MAGAZINE, 2024, 62 (04) : 66 - 72
  • [3] Artificial Intelligence Aided Next-Generation Networks Relying on UAVs
    Liu, Xiao
    Chen, Mingzhe
    Liu, Yuanwei
    Chen, Yue
    Cui, Shuguang
    Hanzo, Lajos
    IEEE WIRELESS COMMUNICATIONS, 2021, 28 (01) : 120 - 127
  • [4] Control and management in next-generation networks: Challenges and opportunities
    Modarressi, AR
    Mohan, S
    IEEE COMMUNICATIONS MAGAZINE, 2000, 38 (10) : 94 - 102
  • [5] Next-Generation Healthcare: Artificial Intelligence Applications in Disease Management
    Akbulut, Sami
    Colak, Cemil
    DIAGNOSTICS, 2024, 14 (11)
  • [6] Physical artificial intelligence (PAI): the next-generation artificial intelligence
    Li, Yingbo
    Li, Zhao
    Duan, Yucong
    Spulber, Anamaria-Beatrice
    FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2023, 24 (08) : 1231 - 1238
  • [7] Next-generation reverse logistics networks of photovoltaic recycling: Perspectives and challenges
    Iakovou, Eleftherios
    Pistikopoulos, Efstratios N.
    Walzberg, Julien
    Iseri, Funda
    Iseri, Halil
    Chrisandina, Natasha J.
    Vedant, Shivam
    Nkoutche, Catherine
    SOLAR ENERGY, 2024, 271
  • [8] Interactive Artificial Intelligence Meets Game Theory in Next-Generation Communication Networks
    Shen, Jingyu
    Yang, Chungang
    Li, Tong
    Wang, Xinwei
    Song, Yanbo
    Guizani, Mohsen
    IEEE WIRELESS COMMUNICATIONS, 2021, 28 (02) : 128 - 135
  • [9] Integrative Analysis of Next-Generation Sequencing for Next-Generation Cancer Research toward Artificial Intelligence
    Park, Youngjun
    Heider, Dominik
    Hauschild, Anne-Christin
    CANCERS, 2021, 13 (13)
  • [10] Artificial intelligence driven next-generation renal histomorphometry
    Santo, Briana A.
    Rosenberg, Avi Z.
    Sarder, Pinaki
    CURRENT OPINION IN NEPHROLOGY AND HYPERTENSION, 2020, 29 (03): : 265 - 272