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arXiv 0909.3966cs.ITmath.IT
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多用户MIMO下行链路中不理想CSIT的THP收发器设计

Robust THP Transceiver Designs for Multiuser MIMO Downlink with Imperfect CSIT

P. Ubaidulla, A. Chockalingam

摘要:

在本文中,我们提出了强大的联合非线性收发器设计的多用户多输入多输出(MIMO)下行链路中存在的缺陷,在发射机(CSIT)的信道状态信息。基站(BS)配备有多个发射天线,并且每个用户终端配备有一个或多个接收天线。BS采用汤姆林森-原岛预编码(THP)用于在发射机处的用户间干扰预消除。我们认为强大的收发器设计,共同优化的发射THP滤波器和接收滤波器的两种型号的CSIT错误。第一个模型是随机误差(SE)模型,其中CSIT误差是高斯分布的。当CSIT误差由信道估计误差主导时,该模型是适用的。在这种情况下,所提出的鲁棒收发器设计寻求在对总BS发射功率的约束下最小化和均方误差(SMSE)的随机函数。我们提出了一个迭代算法来解决这个问题。我们考虑的另一个模型是范数有界误差(NBE)模型,其中CSIT误差可以由不确定性集指定。当CSIT误差由量化误差主导时,该模型是适用的。在这种情况下,我们考虑最差情况设计。对于该模型,我们考虑鲁棒的i)最小SMSE,ii)MSE约束,和iii)MSE平衡收发器设计。我们提出了迭代算法来解决这些问题,其中每次迭代涉及一对半定规划(SDP)。此外,我们考虑了所提出的算法的情况下,每个天线的功率约束的扩展。

英文摘要:

In this paper, we present robust joint non-linear transceiver designs for multiuser multiple-input multiple-output (MIMO) downlink in the presence of imperfections in the channel state information at the transmitter (CSIT). The base station (BS) is equipped with multiple transmit antennas, and each user terminal is equipped with one or more receive antennas. The BS employs Tomlinson-Harashima precoding (THP) for inter-user interference pre-cancellation at the transmitter. We consider robust transceiver designs that jointly optimize the transmit THP filters and receive filter for two models of CSIT errors. The first model is a stochastic error (SE) model, where the CSIT error is Gaussian-distributed. This model is applicable when the CSIT error is dominated by channel estimation error. In this case, the proposed robust transceiver design seeks to minimize a stochastic function of the sum mean square error (SMSE) under a constraint on the total BS transmit power. We propose an iterative algorithm to solve this problem. The other model we consider is a norm-bounded error (NBE) model, where the CSIT error can be specified by an uncertainty set. This model is applicable when the CSIT error is dominated by quantization errors. In this case, we consider a worst-case design. For this model, we consider robust i) minimum SMSE, ii) MSE-constrained, and iii) MSE-balancing transceiver designs. We propose iterative algorithms to solve these problems, wherein each iteration involves a pair of semi-definite programs (SDP). Further, we consider an extension of the proposed algorithm to the case with per-antenna power constraints.

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