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arXiv cs/0701169cs.ITmath.IT
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采用判决反馈均衡或Tomlinson-Harashima预编码的MIMO系统设计框架

A Framework for Designing MIMO systems with Decision Feedback Equalization or Tomlinson-Harashima Precoding

Michael Botros Shenouda, T. N. Davidson

摘要:

我们认为联合收发器设计一般多输入多输出通信系统,实现干扰(预)减法,如那些基于判决反馈均衡(DFE)或汤姆林森-原岛预编码(THP)。我们开发了一个统一的框架,联合收发器的设计考虑的设计标准,表示为各个数据流的均方误差(MSE)的函数。通过推导出两个不等式,涉及到个人的MSE的矩阵,我们得到了两类通信目标的最优设计,即这些矩阵的舒尔凸和舒尔凹函数。对于Schur凸目标,最优设计的结果在数据流具有相等的MSE。该设计同时最小化总MSE和最大化基于DFE的模型的互信息。对于舒尔凹目标,最优DFE设计导致线性均衡,最优THP设计导致线性预编码。建议的框架包含了广泛的设计目标,可以被视为一个对应的线性收发器设计的现有框架。

英文摘要:

We consider joint transceiver design for general Multiple-Input Multiple-Output communication systems that implement interference (pre-)subtraction, such as those based on Decision Feedback Equalization (DFE) or Tomlinson-Harashima precoding (THP). We develop a unified framework for joint transceiver design by considering design criteria that are expressed as functions of the Mean Square Error (MSE) of the individual data streams. By deriving two inequalities that involve the logarithms of the individual MSEs, we obtain optimal designs for two classes of communication objectives, namely those that are Schur-convex and Schur-concave functions of these logarithms. For Schur-convex objectives, the optimal design results in data streams with equal MSEs. This design simultaneously minimizes the total MSE and maximizes the mutual information for the DFE-based model. For Schur-concave objectives, the optimal DFE design results in linear equalization and the optimal THP design results in linear precoding. The proposed framework embraces a wide range of design objectives and can be regarded as a counterpart of the existing framework of linear transceiver design.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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