期刊文献+

基于服务质量的LTE增值业务下行跨层调度算法 被引量:2

LTE downlink cross-layer scheduling algorithm based on QoS for value-added service
下载PDF
导出
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(Qo S)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。 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 eigenfunetion 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.
作者 刘辉 张赛龙
出处 《计算机应用》 CSCD 北大核心 2015年第2期336-339,共4页 journal of Computer Applications
基金 重庆市自然科学基金资助项目(cstc2012jj A40054)
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 value-added service satisfaction QoS-aware service's eigenfunction average rate of perceiving effective throughput
  • 相关文献

参考文献12

二级参考文献36

  • 1夏欣,贾永刚,王素珍.RBF神经网络中指数函数e^x的FPGA实现[J].微计算机信息,2005,21(07Z):145-146. 被引量:6
  • 2张海燕,李欣,田书峰.基于BP神经网络的仿真线设计及其FPGA实现[J].电子与信息学报,2007,29(5):1267-1270. 被引量:13
  • 3XU Binyang LI Shaoqian PU Heping TANG Wanbin.Scheduling Fairness of Real-Time Scheduling Algorithms in Wireless Multimedia Application[J].Chinese Journal of Electronics,2007,16(2):331-336. 被引量:3
  • 4Jalali A,Padovani R,Pankaj R.Data Throughput of CDMA-HDR:A High Efficiency-high Data Rate Personal Communication Wireless System[C]//Proc.of VTC'00-Spring.Tokyo,Japan:IEEE Press,2000.
  • 5Andrews M,Kumaran K,Ramanan K,et al.COMA Data QoS Scheduling on the Forward Link with Variable Channel Conditions[R].Murray Hill,New Jersey,USA:Bell Lab,Tech.Rep.:10009626-000404-05TM,2000.
  • 6Castro J P.未来UMTS的体系结构与业务平台:全IP的3GCDMA网络[M].郎为民,译.北京:机械工业出版社,2009.
  • 7Eryilmaz A,Srikant R,Perkins J R.Stable Scheduling Policies for Fading Wireless Channels[J].IEEE/ACM Trans.on Networking,2005,13(2):411-424.
  • 83GPP.TS25.814-2006 Radio Interface Protocol Aspects for E-UTRA/E-UTRAN[S].2006.
  • 93GPP.TR36.942-2009 Evolved Universal Terrestrial Radio Access(E-UTRA); Radio Frequency(RF) System Scenarios[S].2009.
  • 10Jordan L Holt, Thomas E Baker. Back propagation simulations using limited precision calculation [C] //Proceedings international joint con-ferenee on neural networks. Sea-ttle, USA, 1991.

共引文献42

同被引文献12

引证文献2

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部