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Effect of CSI quantization on the average rate in MU-MIMO WLANs

机译:CSI量化对MU-MIMO WLAN中平均速率的影响

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摘要

In Multi-User Multiple Input Multiple Output (MU-MIMO) Wireless Local Area Networks (WLANs), the optimal-solution such as Dirty Paper Coding (DPC) or the sub-optimal solution Zeroforcing Beamforming (ZFB) with perfect Channel State Information (CSI), is practically limited due to the complexity and the non-availability of perfect CSI at the Access Points (APs)/transmitters. In such a context, ZFB based on channel quantization available at the APs (ZFQ) is the obvious choice for the Multi-User transmission strategy. However, since the quantized CSI is used instead of the perfect CSI at the APs, the quantization error and its impact on the average rate for ZFQ have to be quantified in MU-MIMO WLAN settings. In this paper, we derive a closed-form expression for the upper bound of the channel quantization error and the average rate reduction due to the quantization error with respect to the perfect CSI at the APs. In MU-MIMO WLAN settings, our analytical and numerical studies show that, with an increasing number of antennas at the clients, both the quantization error bound and the average rate reduction increase for ZFQ, in comparison to the ZFB with the perfect CSI.
机译:在多用户多输入多输出(MU-MIMO)无线局域网(WLAN)中,最佳解决方案,例如脏纸编码(DPC)或具有最优信道状态信息的次优解决方案零迫波束成形(ZFB)(由于CSI在接入点(AP)/发射器上的复杂性和不可用性,实际上受到了限制。在这种情况下,基于AP处的信道量化的ZFB(ZFQ)是多用户传输策略的明显选择。但是,由于在AP处使用了量化CSI而不是完美CSI,因此必须在MU-MIMO WLAN设置中量化量化误差及其对ZFQ平均速率的影响。在本文中,我们针对信道量化误差的上限以及由于量化误差导致的平均速率降低(相对于AP处的理想CSI),得出了一个封闭形式的表达式。在MU-MIMO WLAN设置中,我们的分析和数值研究表明,与具有理想CSI的ZFB相比,随着客户端上天线数量的增加,ZFQ的量化误差范围和平均速率降低均增加。

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