MIMO阅读器的多标签后向散射：信道估计和发射公平性
Multi-Tag Backscattering to MIMO Reader: Channel Estimation and Throughput Fairness
摘要：
对专用无线资源要求最低的绿色低功耗组网是当今时代的需要，这导致了后向散射通信（BSC）技术的兴起。然而，BSC的这种固有潜力受到底层标签的硬件约束的挑战。我们解决这个问题及时调查多输入多输出（MIMO）技术在克服BSC的基本局限性的实际效果。具体来说，我们首先介绍了一种新的基于最小二乘的信道估计（CE）协议的多标签BSC设置，照顾到意外的环境反射和无法进行估计的标签本身。然后使用它，一个非平凡的低复杂度的算法，提出了获得最佳的收发器设计的多天线阅读器，以最大限度地提高最低值的下界之间的单天线半无源标签的后向散射吞吐量。通过探索渐近最优收发器设计，提供了对读取器处的单独和联合最优预编码向量和检测器矩阵的额外分析见解。最后，详细的数值研究进行了验证的理论结果和量化的实际可实现的吞吐量公平性。具体而言，超过七倍的增加，在标签之间的共同后向散射的吞吐量所实现的建议的设计超过相关的基准证实了它们的实际意义。
英文摘要：
Green low power networking with the least requirement of dedicated radio resources is need of the hour which has led to the upsurge of backscatter communication (BSC) technology. However, this inherent potential of BSC is challenged by hardware constraints of the underlying tags. We address this timely concern by investigating the practical efficacy of multiple-input-multiple-output (MIMO) technology in overcoming the fundamental limitations of BSC. Specifically, we first introduce a novel least-squares based channel estimation (CE) protocol for multi-tag BSC settings that takes care of both the unintended ambient reflections and the inability of tags in performing estimation by themselves. Then using it, a nontrivial low-complexity algorithm is proposed to obtain the optimal transceiver designs for the multiantenna reader to maximize the minimum value of the lower-bounded backscattered throughput among the single-antenna semi-passive tags. Additional analytical insights on both individually and jointly-optimal precoding vector and detector matrix at the reader are provided by exploring the asymptotically-optimal transceiver designs. Lastly detailed numerical investigation is carried out to validate the theoretical results and quantify the practically realizable throughput fairness. Specifically, more than seven-fold increase in the common-backscattered-throughput among tags as achieved by the proposed designs over the relevant benchmarks corroborates their practical significance.
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