询问反馈策略下的门限截断机会波束系统

苏佳; 张曙

您当前的位置：

首页 >

文章列表页 >

询问反馈策略下的门限截断机会波束系统

更新时间：2025-07-09

- 询问反馈策略下的门限截断机会波束系统
- A Threshold Truncated Opportunistic Beamforming System under Inquiring Feedback Strategy
- 西安交通大学学报 2010年44卷第8期页码：72-77
- 作者机构：
  
  哈尔滨工程大学信息与通信工程学院,哈尔滨,150001
- 作者简介：
- 基金信息：
  
  : 2009-09-15. 作者简介: 苏佳(1981-),女,博士生;张曙(联系人),男,教授,博士生导师. 基金项目:国家自然科学基金资助项目(60875020);哈尔滨市优秀学科带头人基金资助项目(2009RFXXG034)
- DOI：
  中图分类号： TN929.5
- 网络首发：2010-08-10，
  
  纸质出版：2010
- 稿件说明：
移动端阅览
苏佳, 张曙. 询问反馈策略下的门限截断机会波束系统[J]. 西安交通大学学报, 2010,44(8):72-77.

A Threshold Truncated Opportunistic Beamforming System under Inquiring Feedback Strategy[J]. 2010, 44(8): 72-77.
苏佳, 张曙. 询问反馈策略下的门限截断机会波束系统[J]. 西安交通大学学报, 2010,44(8):72-77. DOI：

A Threshold Truncated Opportunistic Beamforming System under Inquiring Feedback Strategy[J]. 2010, 44(8): 72-77. DOI：

摘要

针对目前多用户多输入单输出机会波束中存在的用户数和反馈量过多的问题

提出了一种询问反馈策略下的门限截断机会波束系统——询问截断机会波束.以吞吐量最大化为原则设定截断门限

用户只有被基站询问且接收信干噪比大于系统截断门限时才进行反馈

一旦基站接收到反馈信息就停止对相应波束的询问

并分配给相应用户

重复此过程直到完成所有波束的分配.若某一发射波束在询问所有用户后仍未有反馈

则截断此波束发射.相对于传统机会波束系统

询问截断机会波束能够优选发射波束

降低反馈量.在瑞利衰落信道中对系统性能进行分析和仿真

并与传统机会波束比较

结果表明合理设置截断门限能将反馈量降低到1%以下

并将用户较少时的吞吐量提高了约1.2 b/(s·Hz).

Abstract

In order to solve the problem that there are too many users and feedbacks in multi-user multiple-input single-output opportunistic beamforming(OBF)system

a threshold truncated OBF under inquiring feedback strategy(TTOBF-IF)is proposed. A truncating threshold is set based on maximizing the throughput. The user will feed back only when inquired and the ratio of the receiving signal to interference and noise is larger than the pre-set truncating threshold. Once the base station receives feedback information

it will stop inquiring the corresponding beam

and allocate the beam to the corresponding user. Repeat the process until the allocation of beams is completed. If a transmitting beam has no feedback after inquiring all users

it will be truncated. The TTOBF-IF can optimally select transmitting beams and reduce feedbacks. Analysis and simulations in the Rayleigh fading channel and comparisons with the OBF show that through setting threshold reasonably

TTOBF-IF reduces the feedbacks to 1%

and increases the throughput by 1.2 b/(s·Hz)when the number of users is less.

关键词

Keywords

references

VISWANATH P, TSE D N C, LAROIA R. Opportunistic beamforming using dumb antennas [J]. IEEE Transactions on Information Theory, 2002, 48(6): 1277-1294.

SHARMA N, OZAROW L H. A study of opportunism for multiple-antenna systems [J]. IEEE Transactions on Information Theory, 2005, 51(5): 1804-1814.

XIA Minghua, ZHOU Yuanping, HA J, et al. Opportunistic beamforming communication with throughput analysis using asymptotic approach [J]. IEEE Transactions on Technology, 2009, 58(5): 2608-2614.

SHARIF M, HASSIBI B. On the capacity of MIMO broadcast channels with partial side information [J]. IEEE Transactions on Information Theory, 2005, 51(2): 506-522.

IL-MIN K H, HONG S C, GHASSEMZADEH S S, et al. Opportunistic beamforming based on multiple weighting vectors [J]. IEEE Transactions on Information Theory, 2005, 4(6): 2683-2687.

吴杏芬,宋荣方.多波束机会波束成形系统性能比较[J].南京邮电大学学报(自然科学版), 2008, 28(6):30-33.

WU Xingfen, SONG Rongfang. Performance comparison of multi-beam opportunistic beamforming system [J]. Journal of Nanjing University of Posts and Telecommunications(Natural Science), 2008,28(6): 30-33.

VICARIO J L, Bosisio R, SPAGNOLINI U. Adaptive beam selection techniques for opportunistic beamforming [C]∥Proceedings of International Symposium on PIMRC'06. Piscataway, NJ, USA: IEEE, 2006: 1-5.

VICARIO J L, BOSISIO R, ANTON-HARO C, et al. Beam selection strategies for orthogonal random beamforming in sparse networks [J]. IEEE Transactions on Wireless Communications, 2008, 7(9): 3385-3396.

ZHANG Kai, NIU Zhisheng. Random beamforming with multi-beam selection for MIMO broadcast channels [C]∥Proceedings of 2006 IEEE International Conference on Communications. Piscataway, NJ, USA: IEEE, 2006: 4191-4195.

SU Jia, ZHANG Shu. Bit truncated OFDM-CDMA in multiuser Rayleigh fading channel [C]∥Proceedings of2008 4th IEEE International Conference on Circuits and Systems for Communications. Piscataway, NJ, USA: IEEE, 2008: 867-871.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

EBSILON软件在热电联产系统优化中的应用综述

语义区分和子图整合驱动的知识图谱表示学习方法

采用机器学习的大规模并行程序I/O性能建模与预测方法

超临界水异常区域热力学特性研究

超临界二氧化碳向心透平轮背间隙内风阻损失及流动特性研究