High-Capacity Space-Division Multiplexing Communications With Silicon Photonic Blind Source Separation
High-Capacity Space-Division Multiplexing Communications With Silicon Photonic Blind Source Separation
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DOI：
10.1109/jlt.2022.3152027
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发表时间：
2022-03-15
影响因子：
4.7
通讯作者：
Prucnal, Paul R.
中科院分区：
文献类型：
--
作者：
Huang, Chaoran;Wang, Dongliang;Prucnal, Paul R.
空分复用是一种广泛使用的技术，以提高无线和光通信系统中的数据承载能力。然而，紧密堆积的空间信道导致严重的串扰。高数据速率和大信道数对使用传统数字信号处理算法和电子电路解决串扰施加了严格的限制。为了解决这些问题，本文提出了一种结合高速硅光子器件和一种新的盲源分离算法的硅光子系统。我们首先演示了使用光子BSS来消除用于数据中心内通信的短距离多模光纤互连中的模式串扰。所提出的光子BSS系统继承了光子矩阵处理器的优点和BSS的“盲性”，导致上级能量和成本效率以及减少的延迟，同时允许使用亚奈奎斯特采样率和在自由运行模式下恢复信号，并且在信号格式和数据速率方面提供无与伦比的灵活性。最近已经证明了使用光子处理器进行模式串扰均衡的可行性，并辅以训练序列。相比之下，我们的方法，光子BSS，可以解决更困难的问题，使接收器透明的任何数据速率和调制格式，并与缓慢和具有成本效益的电子工作。此外，我们发现，光子BSS有一个更好的标度律的空分复用（SDM）为基础的通信系统比数字信号处理（DSP）。与最先进的DSP相比，光子BSS可以将系统功耗、速度和延迟降低几个数量级，特别是对于每个通道具有高数据速率和大量通道的高容量通信。光子BSS具有对传输内容不可知的额外优势，使其在保护通信隐私方面表现出色。本文还讨论了我们以前的工作，在无线多入多出（MIMO）通信中使用硅光子微芯谐振器（MRR）的权重银行的隐私保护演示光子BSS。
Space-division multiplexing is a widely used technique to improve data-carrying capacities in both wireless and optical communication systems. However, tightly packed spatial channels cause severe crosstalk. High data rates and large channel counts impose severe constraints on resolving the crosstalk using traditional digital signal processing algorithms and electronic circuits. In order to solve these issues, this paper presents a silicon photonic system combining high-speed silicon photonic devices with a novel blind source separation (BSS) algorithm. We first demonstrate using photonic BSS to undo modal crosstalk in a short-reach multimode optical fiber interconnect for intra-data-center communications. The proposed photonic BSS system inherits the advantages of photonic matrix processor and the "blindness" of BSS, leading to superior energy and cost efficiency and reduced latency, while allowing to recover the signals using a sub-Nyquist sampling rate and in a free-running mode, and offering unmatched agility in signal format and data rate. The feasibility of using photonic processors for mode crosstalk equalization has been recently demonstrated, assisted with training sequences. Our approach, photonic BSS, in contrast, can tackle the more difficult problem of making the receiver transparent to any data rate and modulation format, and workable with slow and cost-effective electronics. In addition, we find that photonic BSS has a much better scaling law for space-division multiplexing (SDM)-based communication systems than digital signal processing (DSP). When compared to state-of-the-art DSP, photonic BSS can reduce system power consumption, speed, and latency by several orders of magnitude, particularly for high-capacity communications with high data rates per channel and a large number of channels. Photonic BSS has the added advantages of being agnostic to transmission content, making it exceptional at protecting communication privacy. This paper also discusses our previous work in demonstrating photonic BSS for privacy protection in wireless multiple-in multiple-out (MIMO) communications using silicon photonic micoring resonator (MRR) weight banks.