期刊文献+

非理想信道环境下的多小区干扰对齐技术研究 被引量:2

Research on Multi-cell Interference Alignment in delayed Interference Channel
下载PDF
导出
摘要 由于普遍采用频率复用因子为1的方式组网,多小区干扰已成为限制无线通信系统容量的主要因素。为了有效抑制小区间干扰提高小区边缘吞吐量,近年提出了干扰对齐技术,其优势在于可以获得干扰信道的最高自由度。一般的干扰对齐研究仅限于理想信道,研究通过非理想信道环境下的多小区干扰对齐技术,分析了时延信道信息对干扰系统容量的影响。结果表明,信道状态信息的时延大大降低了系统容量,特别是在高信噪比条件下对系统性能的影响更大。 As a result of widely use of frequency reuse factor one in the wireless systems, multi-cell inter- ference has become a key factor constraining the system capacity. In order to suppress multi-cell interfer- ence and improve the cell-edge throughput, anti-jamming technology is very important in the multi-cell wireless network. As a realization of anti-jamming technology, interference alignment (IA) attracts wide attention, which can obtain the optimal transmitting degree of freedom (DoF) and max the capacity of the network. The traditional IA algorithm is based on ideal interference channel. However, The performance of multi-cell IA in presence of delayed interference channel is investigated. Simulation results show that the delayed channel state information seriously decreases the performance of IA, especially in present of high SNR.
出处 《中国电子科学研究院学报》 2012年第2期163-167,共5页 Journal of China Academy of Electronics and Information Technology
基金 北京市自然科学基金资助项目(可达最优容量的无线网络干扰准直技术研究)(4112012)
关键词 时延干扰信道 多小区干扰 时延信道状态信息 干扰对齐 delayed interference channel multi-cell interference delayed channel state information (DC-SI) Interference Alignment (IA)
  • 相关文献

参考文献9

  • 1TRESCH R,GUILLAUD M,RIEGLER E. On the Achievability of Interference Alignment in the K-User Constant MIMO Interference Channel[ C]//IEEE Workshop on Statistical Signal Processing, 2009.
  • 2JAFAR S, SHAMAI. Degrees of Freedom Region for the MIMO X Channel[J]. IEEE Trans. on Inform. Theory,2008, 54(1) :151-170.
  • 3YU H,PARK J,SUNG Y,et al. A Least Squares Approach to Joint Beam Design for Interference Alignment Inmultiuser Interference Channels [ C]//IEEE Trans. on Signal Proc. ,2010, 58.4 960-4 966.
  • 4PETERS S W, HEATH R W. Cooperative Algorithms for MIMO Interference Channels [ J ]. IEEE Transactions on Vehicular Technology, 2010,60( 1 ) :206-218.
  • 5CADAMBE V R, JAFAR S A. Interference Alignment and Spatial IA Degrees of Freedom for the K User Inter- ference Channel [ J ]. IEEE Trans. on Inform. Theory ,2008, 54:3 425-3 441.
  • 6GUPTA P, KUMAR P. Towards an Information Theory of Large Networks: an Achievable Rate Region [ J ]. IEEE Transactions on Information Theory, 2003,49 (8) : 1 877- 1 894.
  • 7YETIS C M, GOU T, JAFAR S A, et al. On Feasibility of Interference Alignment in MIMO Interference Networks [ C] IEEE Trans. on Signal Processing, 2010.
  • 8PAPAILIOPOULOS D S, DIMAKIS A G. Interference Alignment as a Rank Constrained Rank Minimization[ C]. in IEEE GLOBECOM 2010, Miami, FL, USA,2010.
  • 9CLARKE R H. A Statistical Theory of Mobile Radio Reception[ J]. Bess System Tech, 1968, 47:957-1 000.

同被引文献3

引证文献2

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