Jacob Holtom;Owen Ma;Andrew Herschfelt;Isabella Lenz;Yang Li;Daniel W. Bliss
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引用次数: 0
摘要
我们实现并实验演示了一种分布式相位相干网状中继网络,该网络可对通信信号进行时空波束成形。该网状网络的每个单天线节点都会放大、预扭曲其接收信号,并将其转发给接收器。在这种配置下,与单输入单输出通信链路相比,由 N 个节点组成的非相干网络可将相关信号的接收功率提高 N 倍。通过同步这些分布式节点并构建时空波束成形器,我们将这一系数提高到最大 $N {^{{2}}}$,并实现了显著的干扰抑制能力。为了实现各网元间的相位一致性,我们使用来自源节点的训练数据执行分布式同步算法。我们通过求解 MMSE 优化来构建时空波束成形器,并利用对训练序列的新观察结果和更新的信道估计不断对其进行再优化。我们展示了两个空中实验演示的结果,一个没有外部干扰器,另一个有外部干扰器。在前者中,我们展示了信噪比(SNR)与八元素网络的理论值 18.1 dB 相比提高了 17.4 dB。在后者中,我们证明信噪比提高了 11.3 dB,干扰降低了 14.6 dB。
Distributed Coherent Mesh Beamforming (DisCoBeaM) for Robust Wireless Communications
We implement and experimentally demonstrate a distributed, phase-coherent, mesh relay network that executes spatiotemporal beamforming on a communications signal. Each single-antenna node of this mesh network amplifies, predistorts, and forwards its reception to a receiver. In this configuration, an incoherent network of N nodes enhances the received power of a signal of interest by a factor of N compared to a single-input single-output communications link. By synchronizing these distributed nodes and constructing a spatiotemporal beamformer, we increase this factor to a maximum of
$N {^{{2}}}$
and enable significant interference rejection capabilities. To achieve phase-coherence across the network elements, we execute a distributed synchronization algorithm using training data from the source node. We construct spatiotemporal beamformers by solving an MMSE optimization, which we continually reoptimize using new observations of training sequences and updated channel estimates. We present results from two over-the-air experimental demonstrations, one without and one with an external interferer. In the former, we demonstrate a 17.4 dB signal-to-noise ratio (SNR) improvement compared to the 18.1 dB theoretical bound for an eight-element network. In the latter, we demonstrate an 11.3 dB SNR improvement and a 14.6 dB interference reduction.
期刊介绍:
The IEEE Transactions on Wireless Communications is a prestigious publication that showcases cutting-edge advancements in wireless communications. It welcomes both theoretical and practical contributions in various areas. The scope of the Transactions encompasses a wide range of topics, including modulation and coding, detection and estimation, propagation and channel characterization, and diversity techniques. The journal also emphasizes the physical and link layer communication aspects of network architectures and protocols.
The journal is open to papers on specific topics or non-traditional topics related to specific application areas. This includes simulation tools and methodologies, orthogonal frequency division multiplexing, MIMO systems, and wireless over optical technologies.
Overall, the IEEE Transactions on Wireless Communications serves as a platform for high-quality manuscripts that push the boundaries of wireless communications and contribute to advancements in the field.