A Cooperative Spectrum Detection Method Based on Backscatter and Over-the-Air Computing

Abstract

The invention is a cooperative spectrum detection method based on backscattering and air calculation. This method considers that in the 5G cellular Internet of Things scenario, widely distributed mobile user equipments act as spectrum detection assistants, and work together to help requesters obtain the current spectrum status. The specific steps are as follows: each detection user first uses backscatter to directly backscatter the received spectrum signal with the requester as the target, without the need for local perception and data processing procedures. Then, using air computing, all the spectrum signals reflected by the detection assistant are reported to the requester through the same backscatter channel, and the superposition of the backscatter spectrum signals is realized by using the accumulation characteristics of the wireless channel. Finally, the requester samples and analyzes the received air-fused spectrum signal to make a final spectrum detection decision.

Description

technical field [0001] The invention relates to the technical field of communication, in particular to a cooperative spectrum detection method based on backscattering and air calculation. Background technique [0002] The B5G cellular IoT network needs to enable ubiquitous smart devices to access available spectrum resources in real time. Due to the scarcity of spectrum resources and rapidly changing channel conditions, available wireless spectrum resources do not always exist. Most mobile users, especially those located in ultra-dense areas, require spectrum detection to discover available radio resources. However, the UHF signal used in the B5G system will experience more severe deep fading when encountering various obstacles, which brings difficulties to a single user equipment with limited detection and processing capabilities to detect spectrum opportunities in a timely and accurate manner. Recently, the perception-based cooperative spectrum detection method, referred...

AI Technical Summary

Problems solved by technology

However, this method requires a lot of energy and network resources to transmit the locally sampled spectrum signal

In addition, the fusion of multi-bit spectrum data is relatively complex, which is likely to cause long data processing delays and low computing efficiency for spectrum sensing requesters

The above two methods still need to be improved, especially when the amount of spectrum detection data reported is huge

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