Paper Info
Title
Satellite-Terrestrial Spectrum Sensing Scheme Based on Cascaded FNN and FIS
Abstract
Due to the frequency reuse in 5G enhanced satellite communications, advanced spectrum management would be acquired to improve the spectrum efficiency, with the interference mitigation caused by the frequency conflict in the manner of spectral sharing. To this end, cognitive radio (CR) has brought into the widespread attention, which aims at detection of spectrum holes by using the information collected from the secondary users (SUs). Specifically, considering the characteristics of satellite channels, the detection of spectrum holes would be more difficult in high dynamic situation. In this paper, we propose an efficient spectrum sensing scheme by taking advantage of the cooperation of satellites and base stations. Firstly, each base station (BS) receives the sensing information collected by its associated SUs. Then, a channel estimation algorithm based on fuzzy neutral network (FNN) is designed with the real-time sampling and historical data stored at BS. After that, the optimal probability of detection can be determined using fuzzy inference system (FIS) with the available sensing set. Additionally, the cooperative spectrum sensing results would be uploaded to the satellites, providing information for the further frequency allocation at the satellites' side. Finally, simulation results reveal the performance gain of the proposed algorithm in terms of the detection probability of spectrum hole.
Year
DOI
Venue
2019
10.1109/GCWkshps45667.2019.9024652
2019 IEEE Globecom Workshops (GC Wkshps)
Keywords
DocType
ISSN
advanced spectrum management,spectrum hole,satellite channels,base station,FIS,frequency allocation,detection probability,satellite-terrestrial spectrum sensing scheme,cascaded FNN,frequency reuse,5G enhanced satellite communications,interference mitigation,cognitive radio,fuzzy neutral network,real-time sampling,fuzzy inference system
Conference
2166-0069
ISBN
Citations 
PageRank 
978-1-7281-0961-9
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Yueyue Zhang1207.77
Yunchi Shi200.34
Fei Shen3319.29
Yihuan Pang400.34
Feng Yan5259.54
Lianfeng Shen651765.25