期刊文献+

一种多天线多用户下行系统保障公平的资源分配策略 被引量:1

Resource Allocation Scheme with Guaranteed Fairness for Multiuser MIMO Downlink System
下载PDF
导出
摘要 将比例公平调度机制推广到多天线多用户下行系统,提出了一种保障公平的资源分配方案和多用户调度机制。基站利用块对角化预编码机制,将多天线下行系统分解为并行无干扰子信道,并根据各个用户的信道状态,选择优化用户集进行传输,从而在保障公平性的同时最大化系统总速率。同时分析了信道反馈错误对该资源分配机制的影响。仿真结果表明,与其他几种用户调度机制相比,该资源分配方案在吞吐量和公平性之间取得了良好的折中。 A resource allocation and multi-user scheduling scheme with guaranteed fairness was proposed, which extended proportion fairness scheduling into downlink multi-user multiple-input multiple-output (MIMO) system. Specifically, the basestation exploited Block Diagonalization (BD) precoding technique to decompose MIMO broadcast channel into parallel non-interference subchannels. Based on the channel status information of users, the basestation selected an optimized subset of users in order to guarantee fairness as well as system sum-rate maximized. And the impact of feedback error on the resource allocation scheme was analyzed. Simulation results show that this resource allocation achieves good tradeoff between fairness and throughput compared to several other scheduling schemes.
出处 《系统仿真学报》 EI CAS CSCD 北大核心 2008年第12期3216-3219,共4页 Journal of System Simulation
基金 国家863计划资助(2006AA01Z277) 国家自然科学基金资助(60496315 60502023)
关键词 多输入多输出 公平性 资源分配 块对角化预编码 MIMO fairness resource allocation block diagonalization precoding
  • 相关文献

参考文献10

  • 1Spencer Q H, Peel C B, Swindlehurst A L. An introduction to the multi-user MIMO downlink [J]. IEEE Communications Magazine (S0163-6804), 2004, 42(10): 60-67.
  • 2Weingarten H, Steinberg Y, Shamai S. The capacity region of the gaussian MIMO broadcast channel [C]// International Symposium on Information Theory Proceedings, Chicago, USA, 2004:174-174.
  • 3Wei Yu, Wonjong Rhee, Boyd S. Iterafive water-filling for Gaussian vector multiple-access channels [J]. IEEE Transactions on Information Theory (S0018-9448), 2004, 50(1): 145-152.
  • 4Jindal N, Wonjong Rhee, Vishwanath S, Jafar S A. Goldsmith A, Sum power iterative water-filling for multi-antenna Gaussian broadcast channels [J]. IEEE Transactions on Information Theory (S0-7803-7576-9), 2005, 51(4): 1570-1580.
  • 5Spencer Q H, Swindlehurst A L, Haardt M. Zero-Forcing methods for downlink spatial multiplexing in multiuser MIMO channels [J]. IEEE Transactions on Signal Processing (S1053-587X), 2004, 52(2): 461-471.
  • 6Lai-U Choi, Murch R D. A transmit preprocessing technique for multiuser MIMO systems using a decomposition approach [J]. IEEE Transactions on Wireless Communications (S1536-1276), 2004, 3(1): 20-24.
  • 7Taesang Y, Goldsmith A. Optimality of zero-forcing beamforming with multiuser diversity [C]// IEEE International Conference on Communications, Carcans, France, 2005, 10: 60-67.
  • 8Shen Z, Chen R, Jr R W Heath. Sum capacity of multiuser MIMO broadcast channels with block diagonalization [C]//IEEE International Symposium on Information Theory, Seattle, USA, 2006:886 - 890.
  • 9Jalali A, Padovani R, Pankaj R. Data throughput of CDMA-HDR a high efficiency-high data rate personal communication wireless system [C]//VTC, Tokyo, Japan, 2000: 1854- 1858.
  • 10Hutter A A, Carvalho E de, Cioffi J M. On the impact of channel estimation for multiple antenna diversity reception in mobile OFDM system [C]//The 34th Asilomar Conference on Signals, Systems and Computers proceedings, CA, USA, 2000:1820-1824.

同被引文献8

  • 1Spencer Q H, Swindlehurst A L, Haardt M. Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels [J]. IEEE Transactions on Signal Processing, 2004, 52(2): 461-471.
  • 2Choi L, Murch R D. A transmit processing technique for multiuser MIMO systems using a decomposition approach [J]. IEEE Transactions on Wireless Communications, 2004, 3(1): 20-24.
  • 3Chen R, Heath Jr R W, Andrews J G. Transmit selection diversity for unitary precoded multiuser spatial multiplexing systems with linear receivers [J]. IEEE Transactions on Signal Processing, 2007, 55(3): 1159-1171.
  • 4Tarighat A, Sadek M, Sayed A H. A multi user beamforming scheme for downlink MIMO channels based on maximizing signal-to-leakage ratios [C]// IEEE ICASSP, Philadelphia, USA. USA: IEEE, 2005, iii/1129-iii/1132.
  • 5Kim J, Park S, Lee J H, Jung H. A scheduling algorithm combined with zero-forcing beamforming for a multiuser MIMO wireless system [C]// Vehicular Technology Conference. USA: IEEE, 2005: 211-215.
  • 6Edelman A. Eigenvalues and condition numbers of random matrices [D]. Cambridge, MA, USA: Massachusetts Institute of Technology, 1989.
  • 7Golub G H, Van Loan C F, Matrix computations [M]. USA: The Johns Hopkins University Press, 1996.
  • 8李晓辉,易克初,黑永强,刘乃安.相关MIMO信道下可变数目天线选择算法[J].系统仿真学报,2007,19(24):5759-5762. 被引量:6

引证文献1

二级引证文献2

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