Spectrum sensing based on adaptive sampling of received signal

EURASIP Journal on Wireless Communications and Networking

卷:2021

Yangying Zhang¹  Youheng Tan¹  Yuebo Li¹  Jiawu Miao¹  Junsheng Mu¹  Xiaojun Jing¹ 

[1] School of Information and Communication Engineering, Beijing University of Posts and Telecommunications;

关键词: Spectrum sensing;    Energy detector;    Adaptive sampling;   

DOI  :  10.1186/s13638-021-02027-w

来源: DOAJ

【 摘 要 】

Abstract Spectrum sensing (SS) has been heatedly discussed due to its capacity to discover the idle registered spectrum bands, which effectively alleviates the shortage of spectrum by spectrum reuse. Energy detector (ED) is widely accepted for SS as its complexity is very low. In this paper, an adaptive sampling scheme is proposed to improve the sensing performance of ED, where the sampling point of the received signal is adaptively adjusted with the environment signal-to-noise ratio (SNR). When SNR decreases, the sensing performance can be maintained and even improved by the rise of the sampling point. When SNR increases, the improved ED is considered for idle spectrum detection. The SNR is evaluated based on the joint of convolutional neural network (CNN) and long short-term memory (LSTM) network. Both theoretical derivations and simulation experiments validate the effectiveness of the proposed scheme.

【 授权许可】

Unknown