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Location-aware ICI Reduction in MIMO-OFDM Downlinks for High-speed Railway Communication Systems

机译:用于高速的mImO-OFDm下行链路中的位置感知ICI降低   铁路通信系统

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摘要

High mobility may destroy the orthogonality of subcarriers in OFDM systems,resulting in inter- carrier interference (ICI), which may greatly reduce theservice quantity of high-speed railway (HSR) wireless communications. Thispaper focuses on ICI mitigation in the HSR downlinks with distributed transmitantennas.For such a system, its key feature is that the ICIs are caused bymultiple carrier frequency offsets corresponding to multiple transmit antennas.Meanwhile, the channel of HSR is fast time varying, which is another bigchallenge in the system design. In order to get a good performance, lowcomplexity real-time ICI reduction is necessary. To this end, we first analyzedthe property of the ICI matrix in AWGN and Rician scenarios, respectively.Then, we propose corresponding low complexity ICI reduction methods based onlocation information. For evaluating the effectiveness of the proposed method,the expectation and variance of remaining interference after ICI reduction isanalyzed with respect to Rician K-factor. In addition, the service quantity andthe bandwidth and computation cost are also discussed. Numerical results arepresented to verify our theoretical analysis and the effectiveness of proposedICI reduction methods. One important observation is that our proposed ICImitigation method can achieve almost the same service quantity with thatobtained on the case without ICI at 300km/h,that is, ICI has been completelyeliminated. Numerical results also show that the scenarios with RicianK-factors over 30dB can be considered as AWGN scenarios, which may providevaluable insights on future system designs.
机译:高移动性可能破坏OFDM系统中子载波的正交性,导致载波间干扰(ICI),这可能会大大减少高速铁路(HSR)无线通信的服务量。本文着重研究分布式发射天线在HSR下行链路中的ICI缓解问题,对于这样的系统,其关键特征是ICI是由对应于多个发射天线的多个载波频率偏移引起的,同时HSR的信道时变快,这是系统设计的另一个挑战。为了获得良好的性能,必须降低低复杂度的实时ICI。为此,我们首先分析了AWGN和Rician场景中ICI矩阵的性质。然后,基于位置信息,提出了相应的低复杂度ICI约简方法。为了评估所提方法的有效性,分析了ICI降低后剩余干扰的期望值和方差(相对于Rician K因子)。此外,还讨论了服务数量,带宽和计算成本。数值结果表明了我们的理论分析和所提出的ICI减少方法的有效性。一个重要的观察结果是,我们提出的ICImitigigation方法可以达到与以300 km / h的不使用ICI的情况下获得的服务量几乎相同的服务量,也就是说,ICI已被完全消除。数值结果还表明,RicianK因子超过30dB的场景可以视为AWGN场景,这可能为将来的系统设计提供有价值的见解。

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