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A weighted cooperative spectrum sensing strategy for NGSO–GSO downlink communication.

Authors :
Zhang, Xiaoyan
Tang, Chao
Chen, Yueyun
Source :
Wireless Networks (10220038). May2024, Vol. 30 Issue 4, p2411-2422. 12p.
Publication Year :
2024

Abstract

In this paper, aiming at the spectrum coexistence scenario between non-geostationary satellite orbit (NGSO) and geostationary satellite orbit (GSO) satellite systems, the NGSO network, a secondary system, reuses the spectrum resources of the GSO primary system through spectrum sensing and sharing technology. Combined with the influence of factors such as the radio wave propagation model and channel characteristics of the sensing links, as well as the difference of channel environment between sensing nodes, a weighted cooperative spectrum sensing strategy named optimal fusion decision for time-invariant channel link (OFD-TIC) method was proposed for NGSO–GSO downlink sensing communication. The OFD-TIC method is designed to minimize the global error detection probability while considering the constraints of spectrum conflict probability and false alarm probability. To achieve this, OFD-TIC method transforms the optimization problem into a Lagrange function and utilizes Newton's iterative method to obtain the weights of sensing node and the parameter thresholds for fusion decision. In the six different spectrum sensing scenarios constructed using satellite network data registered by the International Telecommunication Union (ITU), the performance evaluation of the proposed OFD-TIC method is carried out and the simulation results demonstrate that the proposed method outperforms existing typical algorithms. Under the same signal-to-noise ratios (SNR) and sampling number, the OFD-TIC strategy achieves a higher global detection probability than others. Furthermore, the proposed method exhibits fast convergence to 1 of the global detection probability even at low SNR. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10220038
Volume :
30
Issue :
4
Database :
Academic Search Index
Journal :
Wireless Networks (10220038)
Publication Type :
Academic Journal
Accession number :
177597367
Full Text :
https://doi.org/10.1007/s11276-024-03656-x