欢迎访问中国科学院大学学报,今天是
简报

多用户MIMO-OFDM系统中基于迫零波束成型的自适应资源分配算法

  • 舒锦 ,
  • 卫国
展开
  • 中国科学技术大学无线网络通信安徽省重点实验室, 合肥?230027

收稿日期: 2008-05-07

  修回日期: 2008-11-04

  网络出版日期: 2009-05-15

基金资助

国家重点基础研究发展计划(973计划)项目(2007CB310602)资助 

Adaptive resource allocation algorithm for multiuser MIMO-OFDM systems with zero-forcing beamformer

  • SHU Jin ,
  • WEI Guo
Expand
  • Wireless Information Network Laboratory, University of Science and Technology of China, Hefei 230027, China

Received date: 2008-05-07

  Revised date: 2008-11-04

  Online published: 2009-05-15

摘要

针对多用户环境下的多天线正交频分复用下行系统,提出了2种有效的基于迫零波束成型的自适应资源分配算法.所提算法在保证每个用户的速率要求的情况下,通过自适应的功率、子载波和比特分配,最小化系统的发送功率.仿真结果表明,提出的2种次优的分配算法在满足用户的速率要求下能达到很好的系统性能.

本文引用格式

舒锦 , 卫国 . 多用户MIMO-OFDM系统中基于迫零波束成型的自适应资源分配算法[J]. 中国科学院大学学报, 2009 , 26(3) : 419 -425 . DOI: 10.7523/j.issn.2095-6134.2009.3.018

Abstract

Two effective allocation schemes are proposed for Multiuser MIMO-OFDM systems with zero-forcing beamforming. Through adaptive power,subacarrier and bit allocation, our objective is to minimize the total transmit power while satisfying the target data rates of all users. The numerical results show that the two proposed sub-optimal methods can achieve good performance while satisfying the rate demand of users.

参考文献


[1] Cheong YW, Cheng RS, Lataief KB, et al. Multiuser OFDM with adaptive subcarrier, bit, and power allocation. IEEE J Select Areas Commun, 1999, 17(10):1747~1758

[2] Didem Kivanc, Li GQ,Liu H. Computationally efficient bandwidth allocation and power control for OFDMA. IEEE Trans Wireless Commun, 2003,2(6):1150~1158

[3] Inhyoung Kim,In-Soon Park,Lee YH. Use of linear programming for dynamic subcarrier and bit allocation in multiuser OFDM. IEEE Trans Veh Technol, 2006, 55(4):1195~1207

[4] Tsang YM, Cheng RS. Optimal resource allocation in SDMA/multi-input-single-output/OFDM systems under QoS and power constraints. IEEE Wireless Communication and Networking Conference WCNC.2004

[5] Shin YI, Kang TS,Kin HM. An efficient resource allocation for multiuser MIMO-OFDM systems with zero-forcing beamformer. Personal, Indoor and Mobile Radio Communication PIMRC.2007

[6] Yoo T, Goldsmith A. On the optimality of multi-antenna broadcast scheduling using zero-forcing beamforming. IEEE J Select Areas Commun, 2006, 24(3):528~541

[7] ChungST, Goldsmith AJ. Degree of freedom in adaptive modulation: A unified view. IEEE Trans Commun, 2001, 49(9):1561~1571

文章导航

/