Abstract
Many resource allocation schemes have been proposed based on different criteria such as system throughput, fairness, transmission power, user priority and others. According to the 3GPP specifications, however, as long as a GBR bearer is admitted, the eNB has to ensure the Guaranteed Bit Rate (GBR) of the bearer before it is disconnected or dropped. However, the 3GPP hasn’t defined how to measure GBR. In previous papers, we present how to use Exponentially Weighted Moving Average (EWMA) algorithm to define the measurement of data rates, so as to facilitate resource allocation works. In this paper, we discuss the characteristics of traffic patterns under the constraint of EWMA, as well as the impact on the performance of eNB that serving such traffics. According the simulation results, we also suggest that the more bursty traffic patterns should be charged with higher rates.
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Acknowledgements
This paper is supported by Ministry of Science and Technology of Taiwan under grant No. 104-2221-E-197-016. The author would like to thank Jia-Hao Xu and Zhen-Hao Huang for helping the simulation work.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Kuo, FC. (2018). Analyzing Traffic Characteristics and Performance for LTE Uplink Resource Allocation. In: Lin, YB., Deng, DJ., You, I., Lin, CC. (eds) IoT as a Service. IoTaaS 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 246. Springer, Cham. https://doi.org/10.1007/978-3-030-00410-1_11
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DOI: https://doi.org/10.1007/978-3-030-00410-1_11
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