Big Data Challenges in 5G Networks

被引:0
|
作者
Rashid, Salman [1 ]
Razak, Shukor Abd [1 ]
机构
[1] Univ Teknol Malaysia, Fac Comp & Engn, Johor Baharu, Malaysia
关键词
connection density; big data analytics; traffic volume; MOBILE NETWORKS;
D O I
10.1109/icufn.2019.8806076
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Now a days, world is witnessing a huge flood of data due to ever growing heterogeneous traffic, mobile network subscribers and online services. This trend is evolving continuously at a rapid pace and diversely in the form of big data. Wide range of use-cases scenarios with diverse requirements brings huge challenges for 5G. One of the most important requirements for use cases is high scalability, ubiquitous connectivity with low latency and high data rate with optimal energy, are equally important in 5G. Big data analytics is required to process this huge amount of raw data and extract small sized and useful information. This information can be used by arbiters to make consistent decisions. The paper presents challenges of 5G technical scenarios, big data perspective and emerging technologies of 5G. This paper also provides a detailed overview of big data challenges, imminent in achieving 5G goals.
引用
收藏
页码:152 / 157
页数:6
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