宏基站和微基站群之间的预测性信道调度算法

谢映海; 姚若河; 吴斌

doi:10.11959/j.issn.1000-436x.2019217

您当前的位置：

首页 >

文章列表页 >

宏基站和微基站群之间的预测性信道调度算法

学术论文 | 更新时间：2024-06-05

- 宏基站和微基站群之间的预测性信道调度算法
- Predictive channel scheduling algorithm between macro base station and micro base station group
- 通信学报 2019年40卷第11期页码：19-29
- 作者机构：
  
  1. 珠海中慧微电子博士后工作站，广东珠海 519085
  2. 华南理工大学电子与信息学院，广东广州 510640
- 作者简介：
  
  [ "谢映海（1983- ），男，福建仙游人，博士，珠海中慧微电子博士后工作站在站博士后，主要研究方向为数字宽带通信。" ]
  [ "姚若河（1961- ），男，博士，华南理工大学教授、博士生导师，主要研究方向为电子器件及应用。" ]
  [ "吴斌（1971- ），男，广东深圳人，博士，珠海中慧微电子博士后工作站总工程师，主要研究方向为智能物联网技术。" ]
- 基金信息：
  
  广东省科技计划基金资助项目(2016B010123004)
- DOI：10.11959/j.issn.1000-436x.2019217
  中图分类号： TP393
- 网络出版日期：2019-11，
  
  纸质出版日期：2019-11-25
- 稿件说明：
移动端阅览
谢映海, 姚若河, 吴斌. 宏基站和微基站群之间的预测性信道调度算法[J]. 通信学报, 2019,40(11):19-29.

Yinghai XIE, Ruohe YAO, Bin WU. Predictive channel scheduling algorithm between macro base station and micro base station group[J]. Journal on communications, 2019, 40(11): 19-29.
谢映海, 姚若河, 吴斌. 宏基站和微基站群之间的预测性信道调度算法[J]. 通信学报, 2019,40(11):19-29. DOI： 10.11959/j.issn.1000-436x.2019217.

Yinghai XIE, Ruohe YAO, Bin WU. Predictive channel scheduling algorithm between macro base station and micro base station group[J]. Journal on communications, 2019, 40(11): 19-29. DOI： 10.11959/j.issn.1000-436x.2019217.

摘要

针对 5G超蜂窝网络的宏基站和微基站群之间的非实时业务传输，提出了一种新型预测性信道调度算法。首先，利用静止通信体之间无线信道的随机平稳过程特征，从古典概率论的角度为调度过程建立了一个离散信道状态概率空间并对其进行事件域分割；然后，通过各事件域的概率数值计算实现对多用户多非实时业务的高效调度。理论分析和仿真结果表明，所提算法计算复杂度低，和其他一些经典调度算法相比，所提算法可在更长时间维度上进行业务优化传输，在吞吐量性能上逼近最大信噪比算法，重负荷情况下系统吞吐量提升了约14%；同时通过精确量化计算实现了业务期望速率和实际调度速率的自适应匹配。

Abstract

A novel predictive channel scheduling algorithm was proposed for non-real-time traffic transmission between macro-base stations and micro-base stations in 5G ultra-cellular networks.First

based on the stochastic stationary process characteristics of wireless channels between stationary communication agents

a discrete channel state probability space was established for the scheduling process from the perspective of classical probability theory

and the event domain was segmented.Then

the efficient scheduling of multi-user

multi-non-real-time services was realized by probability numerical calculation of each event domain.The theoretical analysis and simulation results show that the algorithm has low computational complexity.Compared with other classical scheduling algorithms

the new algorithm can optimize traffic transmission in a longer time dimension

approximate the maximum signal-to-noise ratio algorithm in throughput performance

and increase system throughput by about 14% under heavy load.At the same time

the new algorithm is accurate.Quantitative computation achieves a self-adaption match between the expected traffic rate and the actual scheduling rate.

关键词

Keywords

references

YOU X H , PAN Z W , GAO X Q , et al . The 5G mobile communication:the development trends and its emerging key techniques [J ] . Scientia Sinica Informationis , 2014 , 44 ( 5 ): 551 - 563 .

程日涛 , 张海涛 , 王乐 . 5G 无线网部署策略 [J ] . 电信科学 , 2018 , 34 ( S1 ): 1 - 8 .

CHENG R T , ZHANG H T , WANG L . Deployment strategy of 5G wireless network [J ] . Telecommunications Science , 2018 , 34 ( S1 ): 1 - 8 .

王祖阳 , 杨传祥 , 张进 , 等 . 5G无线网技术特征及部署应对策略分析 [J ] . 电信科学 , 2018 , 34 ( S1 ): 9 - 16 .

WANG Z Y , YANG C X , ZHANG J , et al . Analysis on technology characteristics and deployment strategies of 5G wireless network [J ] . Telecommunications Science , 2018 , 34 ( S1 ): 9 - 16 .

JALALI A , . Data throughput of CDMA-HDR a high efficiency-high data rate personal communication wireless system [C ] // IEEE Vehicular Technology Conference . IEEE , 2000 : 1854 - 1858 .

WESTPHAL C , . Monitoring proportional fairness in cdma2000 high data rate networks [C ] // IEEE Global Telecommunications Conference . IEEE , 2004 : 3866 - 3871 .

HOLTZMAN J M . Asymptotic analysis of proportional fair algorithm [J ] . IEEE International Symposium on Personal,Indoor and Mobile Radio Communications , 2001 , 2 : 33 - 37 .

ZHANG X , . Study on delay of proportional fair algorithm with controlled channel quality feedback [C ] // International Conference on Communication Technology . IEEE , 2003 : 966 - 969 .

Cisco . Cisco visual networking index:global mobile data traffic forecast update(2016-2021) [R ] .(2019-01-18)[2019-03-14 ] .

HAN D S , ZHENG B , CHEN Z S , et al . Cost efficiency in coordinated multiple-point system based on multi-source power supply [J ] . IEEE Access , 2018 , 6 ( 1 ): 71994 - 72001 .

YAO C , YANG C , XIONG Z . Energy-saving predictive resource planning and allocation [J ] . IEEE Transactions on Communications , 2016 , 64 : 5078 - 5095 .

ABOU-ZEID H , HASSANEIN H . Predictive green wireless access:exploiting mobility and application information [J ] . IEEE Wireless Communications , 2013 , 20 : 92 - 99 .

YAO C , YANG C . Role of large scale channel information on predictive resource allocation [C ] // The IEEE Wireless Communications and Networking Conference . IEEE , 2016 : 1 - 6 .

HU Y , HAN S , YANG C . Context-aware energy saving with proactive power allocation [C ] // The IEEE Global Conference on Signal and Information Processing . IEEE , 2015 : 53 - 57 .

SHE C , YANG C . Context aware energy efficient optimization for video on-demand service over wireless networks [C ] // The IEEE/CIC International Conference on Communications . IEEE , 2015 : 1 - 6 .

SHE C , YANG C . Energy efficient predictive resource allocation for VoD and real-time services [J ] . IEEE Wireless Communications , 2017 ( 7 ): 111 - 115 .

浏览量

336

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

暂无数据