Research Article
Spectrum Sensing Performance of Cognitive Radio Optimized by Soft Decision Fusion Threshold
@INPROCEEDINGS{10.1007/978-3-030-98002-3_1, author={Gefan Wang and Xuefei Sun and Chungang Liu}, title={Spectrum Sensing Performance of Cognitive Radio Optimized by Soft Decision Fusion Threshold}, proceedings={Cognitive Radio Oriented Wireless Networks and Wireless Internet. 16th EAI International Conference, CROWNCOM 2021, Virtual Event, December 11, 2021, and 14th EAI International Conference, WiCON 2021, Virtual Event, November 9, 2021, Proceedings}, proceedings_a={CROWNCOM \& WICON}, year={2022}, month={3}, keywords={Cognitive radio Soft decision fusion Spectrum sensing Threshold optimization Linear weighting algorithm}, doi={10.1007/978-3-030-98002-3_1} }- Gefan Wang
Xuefei Sun
Chungang Liu
Year: 2022
Spectrum Sensing Performance of Cognitive Radio Optimized by Soft Decision Fusion Threshold
CROWNCOM & WICON
Springer
DOI: 10.1007/978-3-030-98002-3_1
Abstract
The study aims to obtain higher spectrum efficiency of the cognitive radio system, effectively solve the hidden terminal problem caused by single user spectrum sensing, and improve the spectrum sensing performance of cognitive radio. Based on the analysis of the hard decision and soft decision fusion threshold, the linear weighted cooperative sensing algorithm is used. The purpose is to optimize the soft decision fusion cooperative spectrum sensing threshold from the two perspectives of minimizing the error probability and maximizing the average throughput of the cognitive network. The mathematical function model of error probability and throughput sensing threshold is established, the expression of the optimal threshold is derived, and the influence of various spectrum sensing parameters on the optimal decision threshold is analyzed. It is found that: when the appropriate sensing threshold is selected, compared with other algorithm models of radio spectrum sensing, the performance of the optimized soft decision fusion model proposed is better. It can reduce the error probability and improve the detection accuracy. When the throughput capacity of the cognitive network reaches the maximum, the optimal threshold obtained by the soft decision algorithm makes the detection probability higher up to 93.83%, and the overall performance of the cognitive system is better. The results have specific practical significance and practical value for the research of cognitive radio spectrum sensing.
