Measurement and Forecasting of Next Generation Wireless Internet Traffic

EasyChair Preprint no. 525

Abstract

Next Generation Wireless Internet will comprise heterogeneous networks connected to seamlessly access multitude
of applications and services; managing traffic will become very crucial to successfully run those networks. In this paper, we report a framework to measure end-to-end traffic between Server and Client located in India and USA. The measured traffic is used to design Hidden Markov Model based forecasting algorithm and is validated for different packet size.

Keyphrases: 5G, Hidden Markov Model, LTE, Next Generation Wireless Internet, Traffic Engineering, traffic forecasting, Traffic Measurement

@Booklet{EasyChair:525,
  author = {Sumit Maheshwari and Sudipta Mahapatra and C.S. Kumar},
  title = {Measurement and Forecasting of Next Generation Wireless Internet Traffic},
  howpublished = {EasyChair Preprint no. 525},

  year = {EasyChair, 2018}}