基于服务质量的LTE增值业务下行跨层调度算法

doi:10.11772/j.issn.1001-9081.2015.02.0336

计算机应用 ›› 2015, Vol. 35 ›› Issue (2): 336-339.DOI: 10.11772/j.issn.1001-9081.2015.02.0336

基于服务质量的LTE增值业务下行跨层调度算法

刘辉^1,2, 张赛龙¹

1. 重庆邮电大学通信新技术应用研究中心, 重庆 400065;
2. 重庆邮电大学重庆信科设计有限公司, 重庆 400065

收稿日期:2014-08-20 修回日期:2014-10-21 发布日期:2015-02-12 出版日期:2015-02-10
通讯作者: 张赛龙
作者简介:刘辉(1966-),男,四川仪陇人,教授级高级工程师,主要研究方向:通信新技术; 张赛龙(1988-),男,安徽宿州人,硕士研究生,主要研究方向:通信新技术、LTE通信。
基金资助:
重庆市自然科学基金资助项目(cstc2012jjA40054)。

LTE downlink cross-layer scheduling algorithm based on QoS for value-added service

LIU Hui^1,2, ZHANG Sailong¹

1. Institute of Applications of Advanced Telecommunications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;
2. Chongqing Information Technology Designing Company Limited, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Received:2014-08-20 Revised:2014-10-21 Online:2015-02-12 Published:2015-02-10

摘要/Abstract

摘要：

针对LTE系统如何实现不同增值业务用户速率的问题,提出一种优化型比例公平(PF)算法。该算法在用户签约速率不能实现时,考虑信道条件、付费等级和满意度,同时通过引入业务服务质量(QoS)特征函数合理调度付费用户,从而实现各付费等级对应的用户速率。在Matlab环境中进行仿真,其中优化型算法在满意度、有效吞吐量方面优于传统PF算法。与PF算法相比,优化型算法使付费用户间满意度均值相差约26%,有效吞吐量均值提升约17%。仿真结果表明,优化型算法在保证多业务服务质量的前提下,可以实现各付费用户的感知平均速率,保障不同付费用户满意度,并提高系统有效吞吐量。

关键词: 增值业务, 满意度, 业务服务质量特征函数, 感知平均速率, 有效吞吐量

Abstract:

Aiming at the problem that how to achieve the different value-added service users' rates in the Long Term Evolution (LTE) system, an optimization Proportional Fairness (PF) algorithm was proposed. Considering channel conditions, pay level and satisfaction, this optimization PF algorithm with QoS-aware service's eigenfunction could properly schedule the paying users under the situation that the paid rates could not be achieved. So it could achieve the different paying levels of rates. Simulations were conducted in Matlab environment. In the simulations, the optimization PF algorithm performed better than traditional PF in satisfaction and effective throughput. Compared with traditional PF algorithm, the difference of average satisfaction between paying users was about 26%, and the average effective throughput increased by 17%. The simulation results indicate that, under the premise of QoS in multi-service, the optimization algorithm can achieve the different users' perceived average rates, guarantee the satisfaction among the different paying parties and raise the effective throughput of system.

Key words: value-added service, satisfaction, QoS-aware service's eigenfunction, average rate of perceiving, effective throughput

中图分类号:

TP393.07

刘辉, 张赛龙. 基于服务质量的LTE增值业务下行跨层调度算法[J]. 计算机应用, 2015, 35(2): 336-339.

LIU Hui, ZHANG Sailong. LTE downlink cross-layer scheduling algorithm based on QoS for value-added service[J]. Journal of Computer Applications, 2015, 35(2): 336-339.

参考文献

[1] YANG G. LTE propel information consumption forward [J]. Communications World, 2013(20): 25-26. (杨光. LTE助推信息消费[J].通信世界,2013(20):25-26.)
[2] XIAN Y,TIAN F, XU C, et al. Analysis of M-LWDF fairness and an enhanced M-LWDF packet scheduling mechanism [J]. The Journal of China Universities of Posts and Telecommunications, 2011, 18(4): 82-88.
[3] ALFAYLY A, MKWAWA I, SUN L, et al. QoE-based performance evaluation of scheduling algorithms over LTE [C]//Proceedings of the 2012 IEEE Globecom Workshops. Piscataway: IEEE, 2012: 1362-1366.
[4] WANG P, JIN J, SU H, et al. Improved scheduling algorithm based on modified largest weighted delay first [J]. Journal of Computer Applications, 2013,33(S2):10-12,16.(王鹏,金杰,苏寒松,等.基于修正的最大加权时延优先的改进算法[J].计算机应用,2013,33(S2):10-12,16.)
[5] LI X, FU S, HU N. A scheduling algorithm of handover system based on LTE service characteristics [J]. Telecommunication Engineering,2011,51(3):93-97. (李校林,付澍,胡楠.一种基于LTE业务特征的调度算法切换系统[J].电讯技术,2011,51(3):93-97.)
[6] WANG H, WANG C, ZHANG G. LTE downlink cross-layer packet scheduling algorithm based on QoS paid business [J]. Video Engineering,2013,37(3):122-124,154.(王辉,王璨,张功国.基于QoS付费业务的LTE下行跨层分组调度算法[J].电视技术,2013,37(3):122-124, 154.)
[7] YAO D, CUI W, JI Z. Packet schedule algorithm based on QCI priority [J]. Computer Engineering, 2011, 37(9):141-143. (姚丹,崔维嘉,季仲梅.基于QCI优先级的分组调度算法[J].计算机工程,2011,37(9):141-143.)
[8] ZHANG H, YUAN D, MA Y. Cross-layer design for wireless communication — from principle to application [M]. Beijing: Post & Telecom Press, 2010: 25-31.(张海霞,袁东风,马艳波.无线通信跨层设计——从原理到应用[M].北京:人民邮电出版社,2010:25-31.)
[9] AVRAMOVA A P, YAN Y, DITTMANN L. Cross layer scheduling algorithm for LTE downlink [C]//Proceedings of the 2012 20th Telecommunications Forum. Piscataway: IEEE, 2012: 307-310.
[10] AIYETORO G, TAKAWIRA F. A cross-layer based packet scheduling scheme for multimedia traffic in satellite LTE networks [C]//NTMS 2014: Proceedings of the 2014 6th International Conference on New Technologies, Mobility and Security. Piscataway: IEEE, 2014: 1-6.
[11] ZHANG X, HUANG X, ZHONG W, et al. Implementation of Sigmoid function and its derivative on FPGA [J]. Journal of Fujian Normal University: Natural Science Edition, 2011, 27(2):62-65. (张萧,黄晞,仲伟汉,等.Sigmoid函数及其导函数的FPGA实现[J].福建师范大学学报:自然科学版,2011,27(2):62-65.)
[12] DAHI S, TABBANE S. Sigmoid utility function formulation for handoff reducing access model in cognitive radio [C]//ISCIT 2013: Proceedings of the 2013 13th International Symposium on Communications and Information Technologies. Piscataway: IEEE, 2013: 166-170.
[13] CAO M, PU H, ZHOU F, et al. Development status and analysis of the LTE service [J].Telecommunications Science,2013, 29(2):13-18. (曹敏,蒲翰,周峰,等. LTE业务发展现状及重点业务浅析 [J].电信科学,2013,29(2):13-18.)

基于服务质量的LTE增值业务下行跨层调度算法

LTE downlink cross-layer scheduling algorithm based on QoS for value-added service

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