期刊文献+

一种多用户MIMO-OFDM系统中的天线与子载波分配算法 被引量:4

An Antenna and Subcarrier Allocation Algorithm for Multiuser MIMO-OFDM Systems
下载PDF
导出
摘要 天线与子载波分配是多用户MIMO-OFDM系统无线资源管理中的重要内容。在分析了多用户MIMO-OFDM系统下行链路中最优天线与子载波分配算法的基础上,提出了一种次优的低复杂度天线与子载波分配算法。该算法通过先选择天线再选择用户从而避免了最优算法中的遍历搜索。仿真结果表明,在运算量大大降低的情况下,所提算法获得的系统最大容量和最优算法所获得的最大容量相比相差不大,而且空间和频率联合优化的结果使其性能远远优于仅在MIMO环境下进行子载波分配的算法。 Allocation of antennas and subcarriers is one of most important issue for multiuser MIMO-OFDM system radio resource management. In this paper, based on the analysis of optimal antenna and subcarrier allocation algorithm in MIMO-OFDM downlink, a suboptimal antenna and subcarrier allocation algorithm with less complexity is proposed. The algorithm avoid exhaustive search through select antenna first and select user after that. Numerical results show that there is only a little performance deterioration in maximum capacity with the proposed algorithm,and superior than algorithm with only subcarrier allocation in MIMO environment because of the combined optimization of space and frequency.
出处 《信号处理》 CSCD 北大核心 2008年第1期40-44,共5页 Journal of Signal Processing
基金 江苏自然科学基金(BK2006701) 国家自然科学基金(No.60672079)
关键词 MIMO-OFDM系统 天线与子载波分配 多用户分集 MIMO-OFDM system antenna and subcarrier allocation multiuser diversity
  • 相关文献

参考文献11

  • 1F. Akyildiz, D. J. Goodman and L. Kleinrock. ," Mobility and Resource Management in Next Generation Wireless Systems", IEEE J. select. Areas Commun. , vol. 19, no. 10,2001 ,pp. 1825-1829.
  • 2R. Knopp and P. A. Humblet, "Information Capacity and Power Control in Single-Cell Multiuser Communications", IEEE ICC' 95, pp. 331-335.
  • 3P. Viswanath, D. Tse and R. Laroia, "Opportunistic Beam-forming Using Dumb Antennas", IEEE Trans. Info. Theo- ry, vol. 48, No. 6, June 2002, pp. 1277-1294.
  • 4Y. J. Zhang and K. B. Letaief, "An efficient resource-allocation scheme for spatial multiuser access in MIMO/ OFDM systems", IEEE Trans. Commun. , vol. 53, no. 1, Jan. 2005 ,pp. 107-116.
  • 5Jian Xu, Jongkyung Kim, Wongkyu Paik and Jong-Soo Seo, "Adaptive Resource Allocation Algorithm with Fairness for MIMO OFDMA System", VTC 2006-Spring. IEEE 63rd vol 4 ,pp. 1585-1589.
  • 6B. Mielczarek, W. Krzymien, " Throughput of Realistic Multi-User MIMO-OFDM Systems", ISSSTA2004, Sydney, Australia, Sep. 2004.
  • 7C. Wong, R. Cheng, K. Letaief, and R. Murch, "Multiuser OFDM with adaptive subcarrier, bit, and power allocation" ,IEEE J. Select. Areas Commu. , vol. 16, Oct. 1999, pp. 1747-1758.
  • 8Y. J. Zhang and K. B. Letaief, "Multiuser subcarrier and bit allocation along with adaptive cell selection for ofdm transmission", in Proc. IEEE ICC, vol. 2,28 Apr. -2 May. 2002, pp. 861- 865.
  • 9Y. J. Zhang and K. B. Letaief "Optimizing power resource management for multiuser MIMO/OFDM systems", in Proc. Of IEEE Globecomm, vol. 1, Dec 2003, pp. 179-183.
  • 10L. Li, Z. S. Niu "An integrated subehannel scheduling algorithm for adaptive modulation and coding (AMC) MI- MO-OFDM wireless systems", 10th Asia-Pacific Conference on Communications.

同被引文献22

  • 1赵绍刚,李岳梦.移动通信网络中的协作通信[J].电信快报,2005(5):11-13. 被引量:6
  • 2刘波,王凌,金以慧.差分进化算法研究进展[J].控制与决策,2007,22(7):721-729. 被引量:290
  • 3WONG C Y, CHENG R S, LATAIEF K B. Multi-user OFDM with adaptive subcarrier, bit, and power allocation [ J ] . IEEE Journal on Selected Areas in Communications, 1999,7:747- 758.
  • 4STORN R, PRICE K. Differential evolution--A simple and efficient adaptive scheme for global optimization over continuous spaces [ R ]. Berkeley : University of California, 2006.
  • 5THOMSEN R. Multimodal optimization using crowding-based differential evolution [ C ]//Proc of the Congress on Evolutionary Computation. Portland, 2004 : 1382 - 1389.
  • 6Zhou Shidong, Zhao Ming, Xu Xibin, et al. Distributed wireless communicaton system: a new architecture for future public wireless access[C].IEEE Communications Magazine, 2003:108-113.
  • 7SIMEONE O, SOMEKH O, VINCENT H, et al. Distributed MIMO in multi-cell wireless systems via finite-capacity Links[C]//Proc. IEEE ISCCSP 2008,Maha, 2008:203-206.
  • 8Feng Wei, Li Yunzhou, Zhou Shidong. On the downlink capacity of distributed antenna systems with random antenna Layout[C]//IEEE ICCMC 2009,2009:19-22.
  • 9Feng Zhihong, Jiang Zhanjun, Pan Wen, et al. Capacity analysis of generalized distributed antenna systems using approximation distributions[C]//Proc. IEEE ICCS 2008, 2008: 828-830.
  • 10SIMEONE O, SOMEKH O, VINCENT H, et al. Distributed MIMO systems with oblivious antennas[C]//IS1T 2008,Toronto, Canada, 2008:910-914.

引证文献4

二级引证文献3

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