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A Successive SLNR with GMD for Downlink Multi-user Multi-stream MIMO Systems Based on Pre-processing Matrix

机译:具有GMD的连续SL3,用于基于预处理矩阵的下行链路多用户多流MIMO系统

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摘要

Aiming to co-channel interference (CCI) and multi-stream for LTE downlink multi-user multiple input multiple output orthogonal frequency division multiple (MIMO-OFDM) system, a successive signal to leakage plus noise ratio (SLNR) with geometric mean decomposition (GMD) for downlink multi-user multi-stream MIMO systems based on pre-processing matrix is proposed. The algorithm utilizes precoding matrix based on SSLNR scheme to process emission signal at the transmitter, and the known leakages is canceled by dirty paper coding (DPC) algorithm. GMD is applied to cancel the known leakages, as all subchannels for this system have identical signal noise ratio (SNR), it is more convenient to reduce the influence of gain. Moreover, the received signal is treated by preconditioned matrix, the interference between different users is eliminated in further, the sum-capacity is improved by pre-processing Matrix. Meanwhile, the proposed scheme has no restriction of the number of antennas. The performance improvement is verified by simulation, the proposed scheme has superior bit error rate (BER) performance compared with the existing algorithm, when BER is 10~4, SNR is improved about 4 dB.
机译:旨在同信道干扰(CCI)和多流用于LTE下行链路多用户多输入多输出正交频分多(MIMO-OFDM)系统中,一个连续的信号,泄漏加噪声比(SLNR)与几何均值分解( GMD)基于预处理矩阵的下行链路多用户多流MIMO系统提出。该算法利用预编码基于在发射机SSLNR方案来处理发射信号矩阵,和已知的泄漏是由脏纸编码(DPC)算法取消。 GMD被施加到取消已知泄漏,作为该系统中的所有子信道具有相同的信号噪声比(SNR),这是更方便的,以减少增益的影响。此外,接收的信号由预调节基质处理,不同的用户之间的干扰中进一步被消除,和 - 容量通过预处理矩阵改善。同时,该方案没有天线的数量的限制。性能改进是通过仿真验证,所提出的方案已经与现有的算法相比优越的误码率(BER)性能,当BER是10〜4,SNR约为4分贝改善。

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