Optimized quantization resolution for limited CSI feedback with outage

R. Fritzsche, G. Fettweis
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引用次数: 1

Abstract

In mobile slow fading scenarios, channel state information (CSI) is required at the transmitter to adapt the data transmission strategy to the current channel state. In this regard, precoding in multiuser-multiple-input-multiple-output (MU-MIMO) downlink systems is a prominent example. In frequency division duplex, channel observations are quantized and fed back via the uplink, protected by an error correction code. The quantization resolution together with the code strength correspond to a certain amount of feedback bits. For a limited number of uplink signaling resources, there is a trade-off between investing bits for increasing the quantization resolution or for improving the error correction capability. While existing feedback schemes use a fixed quantization resolution, this work proposes a scheme which finds the optimal number of quantization bits for minimizing the channel uncertainty at the transmitter. Simulation results verify the proposed solution and apply it to precoded transmission in a MU-MIMO downlink system.
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优化了中断时有限CSI反馈的量化分辨率
在移动慢衰落场景下,发射机需要信道状态信息(CSI)来调整数据传输策略以适应当前信道状态。在这方面,多用户多输入多输出(MU-MIMO)下行系统中的预编码是一个突出的例子。在分频双工中,信道观测被量化并通过上行链路反馈,由纠错码保护。量化分辨率与代码强度对应于一定数量的反馈位。对于有限数量的上行信令资源,在为增加量化分辨率或提高纠错能力而投入比特之间存在权衡。虽然现有的反馈方案使用固定的量化分辨率,但本研究提出了一种方案,该方案可以找到量化比特的最佳数量,以最大限度地减少发射机的信道不确定性。仿真结果验证了该方案的有效性,并将其应用于MU-MIMO下行系统中的预编码传输。
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