  The development of cellular technology will be directly proportional to the
increasing requirement in various aspects, such as the speed of data
transmission (velocity), data variations (variety), and data storage media
(volume). The increase in various aspects will have a direct impact on the
growth of internet users worldwide. In relation to that, the demand for
increased capacity and coverage becomes a necessity because users access the
networks using the same resources by utilizing resource sharing mechanism. Self
Organizing Network (SON) is one of the solutions to make the system more
efficient with guaranteed Quality of Experiment (QoE). SON can create an
automated network with a self-optimization, self-configuration and self-healing
mechanism. Big Data is leveraged in the network analytics as a reference for
decision-making activities in the network automation process. In this paper,
SON using Big Data analytics on 5G network is compared with SON on 4G network
as the previous network technology. It is suggested that on 5G networks, Big
Data changes the SON detection paradigm from reactive to proactive. Detecting
problems starts with data collection and analysis of possible network problems.
By predicting network problems early, solving network problems can be done
faster. Additionally, by using Multi-hop relay, the distance between User
Equipment (EU) and Base Station (BS) will be shorter. Therefore, the aim of
increasing capacity and coverage can be fulfilled.
