Mobile broadband networks performance modeling based on experimental studies

Real time performance measurements of mobile broadband network can be utilized in the process of developing a model that capable to accurately outline the behavior of an actual network. Such knowledge of network behavior can help operators in examining the current network performance as well as predicting its future condition.The model is anticipated to be able to provide reliable estimation of connectivity speed to mobile broadband users. The paper outlines stochastic live network behavior deduced from performance of two mobile broadband network types namely the HSPA and IEEE 802.16e. The reported findings are an initial research outcome that is to be tested out in the next phase of the project. The real time download data rates were examined using Linux Operating System. Identified network parameters are the received data rates as well as the signal strength indicator (RSSI). Obtained results show the variation of the network performance over time which can provide the knowledge of the best and most reliable network to be connected.

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