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Efficient Wideband Spectrum Sensing with Maximal Spectral Efficiency for LEO Mobile Satellite Systems

College of Communication Engineering, PLA University of Science and Technology, 88 Houbiaoying Rd., Nanjing 210007, China
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Author to whom correspondence should be addressed.
Academic Editor: Symeon Papavassiliou
Sensors 2017, 17(1), 193; https://doi.org/10.3390/s17010193
Received: 7 November 2016 / Revised: 8 January 2017 / Accepted: 13 January 2017 / Published: 21 January 2017
(This article belongs to the Section Sensor Networks)
The usable satellite spectrum is becoming scarce due to static spectrum allocation policies. Cognitive radio approaches have already demonstrated their potential towards spectral efficiency for providing more spectrum access opportunities to secondary user (SU) with sufficient protection to licensed primary user (PU). Hence, recent scientific literature has been focused on the tradeoff between spectrum reuse and PU protection within narrowband spectrum sensing (SS) in terrestrial wireless sensing networks. However, those narrowband SS techniques investigated in the context of terrestrial CR may not be applicable for detecting wideband satellite signals. In this paper, we mainly investigate the problem of joint designing sensing time and hard fusion scheme to maximize SU spectral efficiency in the scenario of low earth orbit (LEO) mobile satellite services based on wideband spectrum sensing. Compressed detection model is established to prove that there indeed exists one optimal sensing time achieving maximal spectral efficiency. Moreover, we propose novel wideband cooperative spectrum sensing (CSS) framework where each SU reporting duration can be utilized for its following SU sensing. The sensing performance benefits from the novel CSS framework because the equivalent sensing time is extended by making full use of reporting slot. Furthermore, in respect of time-varying channel, the spatiotemporal CSS (ST-CSS) is presented to attain space and time diversity gain simultaneously under hard decision fusion rule. Computer simulations show that the optimal sensing settings algorithm of joint optimization of sensing time, hard fusion rule and scheduling strategy achieves significant improvement in spectral efficiency. Additionally, the novel ST-CSS scheme performs much higher spectral efficiency than that of general CSS framework. View Full-Text
Keywords: collaborative sensing; LEO mobile satellite systems; compressed detection; spectral efficiency; hard fusion scheme; scheduling strategy collaborative sensing; LEO mobile satellite systems; compressed detection; spectral efficiency; hard fusion scheme; scheduling strategy
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Li, F.; Li, Z.; Li, G.; Dong, F.; Zhang, W. Efficient Wideband Spectrum Sensing with Maximal Spectral Efficiency for LEO Mobile Satellite Systems. Sensors 2017, 17, 193.

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