IoT as a Service. Third International Conference, IoTaaS 2017, Taichung, Taiwan, September 20–22, 2017, Proceedings

Research Article

Analyzing Traffic Characteristics and Performance for LTE Uplink Resource Allocation

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  • @INPROCEEDINGS{10.1007/978-3-030-00410-1_11,
        author={Fang-Chang Kuo},
        title={Analyzing Traffic Characteristics and Performance for LTE Uplink Resource Allocation},
        proceedings={IoT as a Service. Third International Conference, IoTaaS 2017, Taichung, Taiwan, September 20--22, 2017, Proceedings},
        proceedings_a={IOTAAS},
        year={2018},
        month={10},
        keywords={Uplink scheduling Resource allocation EWMA},
        doi={10.1007/978-3-030-00410-1_11}
    }
    
  • Fang-Chang Kuo
    Year: 2018
    Analyzing Traffic Characteristics and Performance for LTE Uplink Resource Allocation
    IOTAAS
    Springer
    DOI: 10.1007/978-3-030-00410-1_11
Fang-Chang Kuo1,*
  • 1: National Ilan University
*Contact email: kfc@niu.edu.tw

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.