Big Data Analytics For 6G

Authors

  • Aarushi Sharma  Department of Electronics and Communications, Manipal Institute of Technology, Manipal, Karnataka, India
  • Rahul Aggarwal  Department of Electronics and Communications, Manipal Institute of Technology, Manipal, Karnataka, India
  • H. Srikanth Kamath  Department of Electronics and Communications, Manipal Institute of Technology, Manipal, Karnataka, India

DOI:

https://doi.org/10.32628/IJSRST207536

Keywords:

Data analytics, 6G traffic, Intelligent Network, Machine learning

Abstract

The scope of this paper is to analyse traffic demands for 6G communication systems. Since it is important to maintain the sustainability and competitiveness of the communication system, we need to invest in researching about what 6G would be like. I have taken an important possible application of 6G which is Data Analytics. I will be performing Predictive Analysis to predict the traffic patterns based on the traffic of each cell at any given time of the day.

References

  1. K. David and H. Berndt, “6G Vision and Requirement,” IEEE Vehic. Teh. Mag., vol. 13, no. 3, Sept. 2018, pp. 72– 80.
  2. J. G. Andrews et al., “What Will 5G Be?,” IEEE JSAC, vol. 32, no. 6, June 2014, pp. 1065–82.
  3. “Beyond 5G: The Roadmap to 6G and beyond”, Online]. Available: https://www.cablefree.net/wireless- technology4g-lte-beyond-5g-roadmap-6g-beyond/, Posted Jul 4,2017 Accessed on - March 18, 2020
  4. “Predicting Traffic for 4G LTE network”, Online]. Available: https://www.kaggle.com/naebolo/predict-traffic- of-lte-network, Posted Nov 20, 2018 Accessed on - March 18, 2020
  5. “A gentle introduction to cross validation”, Online]. Available:https://machinelearningmastery.com/k-fold- cross-validation/Posted May 23, 2018 Accessed on - May 14, 2020

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Published

2020-10-30

Issue

Section

Research Articles

How to Cite

[1]
Aarushi Sharma, Rahul Aggarwal, H. Srikanth Kamath "Big Data Analytics For 6G" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 7, Issue 5, pp.158-164, September-October-2020. Available at doi : https://doi.org/10.32628/IJSRST207536