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X-Structured Precoder Designs for Spatial-Multiplexing MIMO and MIMO Relay Systems

机译:用于空间复用MIMO和MIMO中继系统的X结构预编码器设计

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In multiple-input–multiple-output (MIMO) transmission, precoding has been considered a promising technique to improve the system performance. In general, the criterion of precoder design depends on the detector used at the receiver. For the maximum-likelihood (ML) detector, the criterion is to maximize the minimum distance of the received signal constellation. Unfortunately, the derivation of the optimum solution is known to be difficult, and suboptimum solutions have then been developed. One promising approach confines the precoder having an X-structure. Several methods have been developed to solve the X-structured precoder. However, most of them use numerical searches to find their solutions and require lookup tables during run time. In this paper, we propose a systematic design method to solve the problems. The proposed precoder has a simple closed-form expression, and no numerical searches and lookup tables are required. Simulation results show that the proposed method can yield almost the same performance as the existing methods. We also consider the problem of joint source/relay precoder design in a two-hop amplify-and-forward MIMO relay system. Since the problem is much more involved and a closed-form solution is intractable to find, we then extend the use of the proposed X-structured precoder so that the problem can be reformulated as a simple scalar-valued optimization problem. Simulations show that the proposed method can significantly outperform existing joint design methods.
机译:在多输入多输出(MIMO)传输中,预编码被认为是提高系统性能的有前途的技术。通常,预编码器设计的标准取决于接收器上使用的检测器。对于最大似然(ML)检测器,标准是使接收信号星座图的最小距离最大。不幸的是,已知最优解的推导是困难的,然后已经开发了次最优解。一种有前途的方法将预编码器限制为具有X结构。已经开发了几种方法来解决X结构的预编码器。但是,它们中的大多数都使用数值搜索来找到其解决方案,并在运行时需要查找表。在本文中,我们提出了一种系统的设计方法来解决这些问题。所提出的预编码器具有简单的封闭形式的表达式,并且不需要数值搜索和查找表。仿真结果表明,该方法可以产生与现有方法几乎相同的性能。我们还考虑了两跳放大转发MIMO中继系统中联合源/中继预编码器设计的问题。由于问题涉及更多,并且很难找到封闭形式的解决方案,因此我们扩展了所提出的X结构预编码器的使用,以便可以将该问题重新表述为简单的标量值优化问题。仿真表明,该方法可以明显优于现有的联合设计方法。

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