• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Information Theory and Applications Workshop >Finite rate of innovation channel models and DoF of MIMO multi-user systems with delayed CSIT feedback
【24h】

Finite rate of innovation channel models and DoF of MIMO multi-user systems with delayed CSIT feedback

机译：具有延迟CSIT反馈的MIMO多用户系统的创新频道模型和DOF的有限速率

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Channel State Information at the Transmitter (CSIT) is of utmost importance in multi-user wireless networks, in which transmission rates at high SNR are characterized by Degrees of Freedom (DoF, the rate prelog). In recent years, a number of ingenious techniques have been proposed to deal with delayed and imperfect CSIT. However, we show that the precise impact of these techniques in these scenarios depends heavily on the channel model (CM). We introduce the use of linear Finite Rate of Information (FRoI) signals (which could also be called Basis Expansion Model (BEM)) to model time-selective channel coefficients. The FRoI dimension turns out to be well matched to Degree of Freedom (DoF) analysis since the FRoI CM allows compressed feedback (FB) and captures the DoF of the channel coefficient time series. Both the block fading model and the stationary bandlimited channel model are special cases of the FRoI CM. However, the fact that FRoI CMs model stationary channel evolutions allows to exploit one more dimension: arbitrary time shifts. In this way, the FroI CM allows to maintain the DoF unaffected in the presence of CSIT feedback (FB) delay, by increasing the FB rate. We call this Foresighted Channel FB (FCFB). FRoI CM relates also to (predictive) filterbanks and we work out the optimization details in the biorthogonal case (different analysis and synthesis filters). The FRoIC model with multiple basis functions accommodates FB delay beyond the coherence time and handling of users with unequal coherence times.
机译：发送器（CSIT）处的信道状态信息在多用户无线网络中至关重要，其中高SNR处的传输速率在于自由度（DOF，速率前列）。近年来，已经提出了许多巧妙的技术来应对延迟和不完美的CSIT。然而，我们表明这些技术在这些方案中对这些技术的精确影响大量取决于信道模型（cm）。我们介绍了使用线性有限速率的信息（FroI）信号（也可以被称为基础扩展模型（BEM））来模拟时间选择性信道系数。 FroI维度转出与自由度（DOF）分析的程度很好地匹配，因为FroI CM允许压缩反馈（FB）并捕获通道系数时间序列的DOF。块衰落模型和静止带状通道模型都是Froi CM的特殊情况。但是，Froi CMS模型固定通道进化的事实允许利用一个更大的维度：任意时间偏移。以这种方式，通过增加FB速率，FroI CM允许在CSIT反馈（FB）延迟存在下不受影响的DOF。我们称之为这位远见通道FB（FCFB）。 Froi CM也涉及（预测）滤波器杂交机，我们在双正交案例（不同的分析和合成过滤器）中制定优化细节。具有多个基本功能的FB延迟超出相干时间和具有不等的相干时间的相干时间和处理的FB延迟。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号