Research Article
A Traffic Feature Analysis Approach for Converged Networks of LTE and Broadband Carrier Wireless Communications
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@INPROCEEDINGS{10.1007/978-3-030-72792-5_17, author={Huan Li and Yang Liu and Fanbo Meng and Zhibin Yang and Dongdong Wang and Yang Nan}, title={A Traffic Feature Analysis Approach for Converged Networks of LTE and Broadband Carrier Wireless Communications}, proceedings={Simulation Tools and Techniques. 12th EAI International Conference, SIMUtools 2020, Guiyang, China, August 28-29, 2020, Proceedings, Part I}, proceedings_a={SIMUTOOLS}, year={2021}, month={4}, keywords={Network traffic Generalized linear regression Traffic modeling Parameter estimation Traffic prediction}, doi={10.1007/978-3-030-72792-5_17} }- Huan Li
Yang Liu
Fanbo Meng
Zhibin Yang
Dongdong Wang
Yang Nan
Year: 2021
A Traffic Feature Analysis Approach for Converged Networks of LTE and Broadband Carrier Wireless Communications
SIMUTOOLS
Springer
DOI: 10.1007/978-3-030-72792-5_17
Abstract
With the emergence of new requirements for the application of network access network, network traffic presents new characteristics, and network management faces new challenges. The main contribution of this paper is to propose a new network traffic model and prediction method based on generalized linear regression model. Firstly, the network traffic is modeled and generalized linear regression model is used to model it. Then, using the generalized linear regression theory, we can calculate the modified parameters and determine the appropriate model, so that we can accurately predict the network traffic. The simulation results show that the method is feasible.
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