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Differentiating and Scheduling LTE Uplink Traffic Based on Exponentially Weighted Moving Average of Data Rate

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Abstract

The importance of uplink resource allocation in ensuring the Quality of Service (QoS) of guaranteed bit rate (GBR) bearers has led to the development of numerous resource allocation schemes. The criteria used in the development of such schemes include maximizing system throughput or fairness and the ability to take transmission power or user priority into account. After accepting a GBR bearer, the eNodeB (eNB) must allocate sufficient resource blocks (RBs) to guarantee the requested QoS. In order to achieve high utilization of radio resource, eNB also must allocate remaining RBs to non-GBR bearers. The QoS is generally specified by the data rate (throughput) or packet delay; however, the 3rd Generation Partnership Project (3GPP) has not specified the means by which data rates for a GBR bearer are to be measured. In this paper, we define the measurement of data rates based on the exponentially weighted moving average (EWMA), thereby enabling the eNB to perform scheduling tasks with greater accuracy. We also present an AAG-2 (Allocate As Granted-version 2) scheme capable of supporting the QoS for GBR bearers, while enabling the efficient allocation of RBs to non-GBR bearers. The existence of parties seeking superior levels of service makes it necessary for telecommunications operators to provide options with regard to QoS. This study proposes a revision of the AAG-2 scheme referred to as AAG-D to accommodate such demands. Simulation results demonstrate the efficacy of the new scheme in achieving goals related to throughput and average packet delay.

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Acknowledgments

This paper is supported by Ministry of Science and Technology of Taiwan under grant no. 104-2221-E-197-007, 104-2221-E-197-009, 104-2221-E-197-016. The authors would like to also thank Hua-Chun Kao and Zheng-Xian Yang, who helped the simulation work.

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Authors and Affiliations

  1. Department of Electronic Engineering, National Ilan University, Yilan City, Yilan County, Taiwan

    Fang-Chang Kuo & Hwang-Cheng Wang

  2. Department of Business Administration and Information Engineering, Minghsin University of Science and Technology, Xinfeng Township, Hsinchu County, Taiwan

    Kuo-Chang Ting

  3. Department of Electrical Engineering, National Ilan University, Yilan City, Yilan County, Taiwan

    Chih-Cheng Tseng

  4. Xunwei Technologies Co., Ltd., Taipei, Taiwan

    Ming-Wei Chen

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  1. Fang-Chang Kuo
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  3. Hwang-Cheng Wang
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Correspondence to Chih-Cheng Tseng.

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Kuo, FC., Ting, KC., Wang, HC. et al. Differentiating and Scheduling LTE Uplink Traffic Based on Exponentially Weighted Moving Average of Data Rate. Mobile Netw Appl 22, 113–124 (2017). https://doi.org/10.1007/s11036-016-0693-9

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