Nowadays, mobile cellular network are congested with mobile data traffic due to the fast growth of mobile broadband network. Beginning from the first generation (1G), in the 80s, up to (4G) nowadays. The main objective of my thesis work is to analyze the feasibility of Wi-Fi offloading. It will include making predictions for the future load on the two networks, finding spatial/temporal correlation in the data traces and other analysis in order to optimize the offloading process. Throughout the analysis of network data traces, another main objective of this thesis is to understand to which extent prediction is possible, and if there are substantial differences in the load of the two co-located networks. By prediction we mean based on analyzed Wi-Fi traffic predict the LTE traffic
Nowadays, mobile cellular network are congested with mobile data traffic due to the fast growth of mobile broadband network. Beginning from the first generation (1G), in the 80s, up to (4G) nowadays. The main objective of my thesis work is to analyze the feasibility of Wi-Fi offloading. It will include making predictions for the future load on the two networks, finding spatial/temporal correlation in the data traces and other analysis in order to optimize the offloading process. Throughout the analysis of network data traces, another main objective of this thesis is to understand to which extent prediction is possible, and if there are substantial differences in the load of the two co-located networks. By prediction we mean based on analyzed Wi-Fi traffic predict the LTE traffic
Wi-Fi-LTE traffic prediction for mobile offloading
ALIYEV, HASAN
2017/2018
Abstract
Nowadays, mobile cellular network are congested with mobile data traffic due to the fast growth of mobile broadband network. Beginning from the first generation (1G), in the 80s, up to (4G) nowadays. The main objective of my thesis work is to analyze the feasibility of Wi-Fi offloading. It will include making predictions for the future load on the two networks, finding spatial/temporal correlation in the data traces and other analysis in order to optimize the offloading process. Throughout the analysis of network data traces, another main objective of this thesis is to understand to which extent prediction is possible, and if there are substantial differences in the load of the two co-located networks. By prediction we mean based on analyzed Wi-Fi traffic predict the LTE traffic| File | Dimensione | Formato | |
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https://hdl.handle.net/10589/141081