Stream selection methods for non-regenerative MIMO relay networks

Cong Sun, Eduard Axel Jorswieck
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引用次数: 1

Abstract

For general MIMO relay AF networks, transmitting different number of data streams lead to significantly different performances. Therefore stream selection is an important preprocessing to maximize the sum rate. We first show that the problem to select only one stream for networks with single antenna users is NP-hard. Then based on the Total Signal to Total Interference plus Noise Ratio model, the stream selection problem for the general MIMO relay AF network is simplified as a 0-1 quadratic programming. Two stream selection algorithms are proposed. One is to delete streams from the full set and the other is to add streams to the basic set. Simulations show that the two algorithms are efficient to achieve high sum rate in medium to high SNR and in low SNR scenarios, respectively; the model with the stream selection as preprocess well balances between the achieved sum rate and the computational cost.
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非再生MIMO中继网络的流选择方法
对于一般的MIMO中继AF网络,传输不同数量的数据流会导致性能的显著差异。因此,流选择是实现和速率最大化的重要预处理。我们首先证明了仅为具有单个天线用户的网络选择一个流的问题是np困难的。然后基于总信噪比模型,将一般MIMO中继AF网络的流选择问题简化为一个0-1二次规划问题。提出了两种流选择算法。一种是从完整集合中删除流,另一种是向基本集合中添加流。仿真结果表明,在中高信噪比和低信噪比情况下,两种算法均能有效地实现较高的和率;以流选择作为预处理的模型很好地平衡了实现的和速率和计算成本。
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