Artificial Intelligence-based 5G Network Capacity Planning and Operation

被引:0
作者
Perez-Romero, J. [1 ]
Sallent, O. [1 ]
Ferrus, R. [1 ]
Agusti, R. [1 ]
机构
[1] UPC, Dept Signal Theory & Commun, Barcelona, Spain
来源
2015 12TH INTERNATIONAL SYMPOSIUM ON WIRELESS COMMUNICATION SYSTEMS (ISWCS) | 2015年
关键词
5G; artificial intelligence; capacity planning; network operation;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The highly demanding requirements envisaged for future 5G networks together with the required support of new customers from vertical industries (e.g. e-health, automotive, energy) pose a big challenge for operators in 5G on how to balance investments, user experience and profitability. There will be the need to revisit the actual methodologies of network planning and operation, fully exploiting cognitive capabilities that embrace knowledge and intelligence to achieve a proper understanding of the network usage in multiple dimensions. In this respect, this paper presents a vision on how these planning and operation processes can rely on the inclusion of Artificial Intelligence (AI) concepts that will allow devising models to characterize the impact of many correlated inputs on specific operator objectives and to drive decisions for different processes.
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收藏
页数:5
相关论文
共 17 条
  • [1] [Anonymous], 2012, SOFTWARE DEFINED NET, V2, P2
  • [2] [Anonymous], 002 ETSI GS NFV
  • [3] Banerjee A., 2014, ADV PREDICTIVE NETWO
  • [4] Bhatia N., 2010, IJCSIS INT J COMPUTE, V8
  • [5] Box G. E. P., 1994, Time Series Analysis, Forecasting and Control
  • [6] A tutorial on Support Vector Machines for pattern recognition
    Burges, CJC
    [J]. DATA MINING AND KNOWLEDGE DISCOVERY, 1998, 2 (02) : 121 - 167
  • [7] El Hattachi Rachid., 2015, NGMN 5G White Paper
  • [8] Ericsson, 2013, BIG DATA ANAL
  • [9] Ericsson White Paper, 2011, MOR 50 BILL CONN DEV
  • [10] Fallgren M, 2013, SCENARIOS REQUIREMEN