Chinese scientists have recently successfully developed an ultra-broadband photoelectric fusion integrated system, achieving high-speed wireless communication with full frequency band coverage and flexible tunability for the first time. This breakthrough is expected to provide support for more smooth and reliable 6G wireless communication in the future. The research results were published online in the journal *Nature* on the evening of August 27. As the next-generation wireless communication network, 6G needs to meet the requirements of high-speed transmission of wireless signals across various frequency bands in diverse scenarios. However, traditional electronic hardware is only suitable for a single frequency band, and devices designed for different frequency bands vary in design, structure, and materials. This makes it difficult to achieve cross-band or full-band operation. To address this challenge, a joint research team from Peking University and City University of Hong Kong has spent four years independently developing the ultra-broadband photoelectric fusion integrated system. This system enables high-speed transmission of wireless signals at any frequency point within the range of 0.5 GHz (gigahertz) to 115 GHz — its full-band compatibility capability leads the world. Additionally, the system features flexible tunability: when signals are interfered with, it can dynamically switch to a secure frequency band to establish a new communication channel, thereby enhancing communication reliability and spectrum utilization efficiency. "Technically speaking, this is like building an ultra-wide highway. Electronic signals are the vehicles, and frequency bands are the lanes. In the past, vehicles could only squeeze into one or two lanes, but now there are multiple lanes to choose from. If one lane is congested, vehicles can flexibly switch to another lane and continue moving. As a result, vehicles travel faster without traffic jams," said Professor Wang Xingjun, Vice Dean of the School of Electronics at Peking University. Professor Wang Xingjun noted that by integrating AI algorithms, this new system will give rise to more flexible and intelligent AI wireless networks. It can not only be applied in a variety of complex scenarios to simultaneously achieve real-time data transmission and accurate environmental perception but also automatically avoid interfering signals, making network signal transmission more secure and smooth.

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