Abstract
LTE network performance is commonly evaluated from Key Principal Indicators (KPIs), which are relevant numeric indicators summarizing the global performance of the network. A hot topic is to evaluate and forecast those network performance indicators from the available traffic flow and history. This evaluation of LTE network performance is crucial for mobile carriers to leverage appropriate strategies of capacity requirement and management.
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References
Tsao, Shiao-Li, and Chia-Ching Lin. (2002) “Design and evaluation of UMTS-WLAN interworking strategies.” Vehicular Technology Conference.
Szlovencsak, Attila, et al. (2002) “Planning reliable UMTS terrestrial access networks.” Communications Magazine 40.1 (2002): 66–72.
Ricciato. F. (2006). Traffic monitoring and analysis for the optimization of a 3G network. Wireless Communications. IEEE. 13(6). 42–49
Ouyang. Ye. (2012) Traffic Dimensioning and Performance Modeling of 4G LTE Networks. Diss. Stevens Institute of Technology.
Amzallag, David, et al. (2013) “Cell selection in 4G cellular networks.” Mobile Computing 12.7 (2013): 1443–1455.
Navaie. K., Sharafat, A, (2003) “A framework for UMTS air interface analysis”. Electrical and Computer Engineering, Canadian Journal of. Vol. 208. no. 3/4. pp.113.129.
Engles. A., Rever. M., Xiang Xu, Mathar. R., Jietao Zhang, Hongcheng Zhuang, (2013) “Autonomous Self-Optimization of Coverage and Capacity in LTE Cellular Networks”, Vehicular Technology, Vol.62. no.5. pp.1989.2001.
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Ouyang, Y., Hu, M., Huet, A., Li, Z. (2018). Trending LTE Network Performance. In: Mining Over Air: Wireless Communication Networks Analytics. Springer, Cham. https://doi.org/10.1007/978-3-319-92312-3_3
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DOI: https://doi.org/10.1007/978-3-319-92312-3_3
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