Abstract
With the development towards the next generation cellular networks, i.e., 5G, the focus has shifted towards meeting the higher data rate requirements, potential of micro cells and millimeter wave spectrum. The goals for next generation networks are very high data rates, low latency and handling of big data. The achievement of these goals definitely require newer architecture designs, upgraded technologies with possible backward support, better security algorithms and intelligent decision making capability. In this survey, we identify the opportunities which can be provided by 5G networks and discuss the underlying challenges towards implementation and realization of the goals of 5G. This survey also provides a discussion on the recent developments made towards standardization, the architectures which may be potential candidates for deployment and the energy concerns in 5G networks. Finally, the paper presents a big data perspective and the potential of machine learning for optimization and decision making in 5G networks.
Highlights
The data whose dynamics such as volume, velocity, veracity, variety are extended massively and unable to be handled by traditional data management system, is termed as big data
We present an introduction of the 5G communication networks of the future
We present the various requirements and challenges and possible design issues which need to be addressed for the realization of 5G networks
Summary
The data whose dynamics such as volume, velocity, veracity, variety are extended massively and unable to be handled by traditional data management system, is termed as big data. According to the indexed issued by CISCO, the number of wireless devices are more in number than the world population in 2014 [1] From such a diverse range of connected device, explosion in data is not unexpected. Some other technologies such as device to device communication, two-layer architecture, cognitive radio based architecture, and cloud based architecture [3] have great importance in generation networks. For these technologies of generation networks, big data analytics and machine learning paradigm will perform a key enabling role. Waveform transmission, underlying network infrastructure and energy efficiency of communication are significant issues for 5G
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