光子学
宽带
计算机科学
电子工程
无线
带宽(计算)
微波食品加热
无线宽带
宽带网络
雷达
波分复用
光学滤波器
电信
频谱管理
无线网络
光谱效率
光子集成电路
光通信
调度(生产过程)
无线电频谱
自由光谱范围
滤波器(信号处理)
信号处理
无源光网络
实施
微波传输
功率(物理)
频道(广播)
数字信号处理
信号(编程语言)
接入网
过滤器组
动态范围
作者
Tao Yuansheng,Feng, Hanke,Fang Yuan,Xie XiangZhi,Zeng Yuansong,Wu Yifan,Ge Tong,Zhang Yiwen,Chen Zhao-xi,Tao, Zihan,Xu Jie,Shu, Haowen,Wang Xingjun,Yu, Xianghao,Wang Cheng
标识
DOI:10.48550/arxiv.2509.03874
摘要
The sixth generation (6G) wireless networks require dynamic spectrum management to optimize the utilization of scarce spectral resources and support emerging integrated sensing and communication (ISAC) applications. This necessitates real-time spectrum sensing (RT-SS) capability with ultrawide measurement range, compact size, and low latency. Conventional electronic RT-SS solutions face critical challenges in operating across the millimeter-wave and sub-terahertz bands, which are essential spectra for 6G wireless. While photonic RT-SS has the potential to surpass this limitation, the current implementations feature limited bandwidths below 50 GHz and mostly rely on bulky dispersive fibers with high latency. Here, we address these challenges by developing an integrated photonic RT-SS system capable of ultrabroadband measurement from microwave to sub-terahertz bands, covering the full spectrum for 6G wireless. The photonic RT-SS circuit integrates a broadband electro-optic (EO) modulator for unknown signal loading, an EO tunable microring filter bank for high-speed parallel frequency-to-time mapping, as well as an EO comb for precise channel frequency referencing, all realized on a single thin-film lithium niobate chip. We achieve an unprecedented spectral measurement range beyond 120 GHz at a low latency of less than 100 ns. To validate the effectiveness of our photonic RT-SS system in future 6G scenes, we further propose a heuristic spectro-temporal resource allocation algorithm and conduct a proof-of-concept ISAC demonstration, where a radar adaptively access RT-SS-informed spectrally underutilized regions for high-quality target sensing under dynamic communication interferences. Our work presents a compact and cost-effective solution for efficient spectrum sharing and dynamic management in future 6G ISAC networks.
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