GDL

Journal from gdlhub / 2019-11-16 11:39:21
Oleh : Kiran Khurshid, Adnan Ahmed Khan, Haroon Siddiqui, Imran Rashid, M. Usman Hadi, ITB
Dibuat : 2019-11-16, dengan 1 file

Keyword : 5G, big data, CRAN, NVF, SDN, self-optimization
Url : http://journals.itb.ac.id/index.php/jictra/article/view/9076
Sumber pengambilan dokumen : WEB

The recent development of Big Data, Internet of Things (IoT) and 5G network technology offers a plethora of opportunities to the IT industry and mobile network operators. 5G cellular technology promises to offer connectivity to massive numbers of IoT devices while meeting low-latency data transmission requirements. A deficiency of the current 4G networks is that the data from IoT devices and mobile nodes are merely passed on to the cloud and the communication infrastructure does not play a part in data analysis. Instead of only passing data on to the cloud, the system could also contribute to data analysis and decision-making. In this work, a Big Data driven self-optimized 5G network design is proposed using the knowledge of emerging technologies CRAN, NVF and SDN. Also, some technical impediments in 5G network optimization are discussed. A case study is presented to demonstrate the assistance of Big Data in solving the resource allocation problem.

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