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Sensors 2016, 16(10), 1711; doi:10.3390/s16101711

Performance Analysis of Integrated Wireless Sensor and Multibeam Satellite Networks Under Terrestrial Interference

1
College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China
2
Institute of China Electronic System Engineering Corporation, 13 Dacheng Rd., Beijing 100141, China
3
Equipment Academy, Beijing 101416, China
*
Author to whom correspondence should be addressed.
Academic Editor: Davide Brunelli
Received: 7 July 2016 / Revised: 27 September 2016 / Accepted: 10 October 2016 / Published: 14 October 2016
(This article belongs to the Section Sensor Networks)
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Abstract

This paper investigates the performance of integrated wireless sensor and multibeam satellite networks (IWSMSNs) under terrestrial interference. The IWSMSNs constitute sensor nodes (SNs), satellite sinks (SSs), multibeam satellite and remote monitoring hosts (RMHs). The multibeam satellite covers multiple beams and multiple SSs in each beam. The SSs can be directly used as SNs to transmit sensing data to RMHs via the satellite, and they can also be used to collect the sensing data from other SNs to transmit to the RMHs. We propose the hybrid one-dimensional (1D) and 2D beam models including the equivalent intra-beam interference factor β from terrestrial communication networks (TCNs) and the equivalent inter-beam interference factor α from adjacent beams. The terrestrial interference is possibly due to the signals from the TCNs or the signals of sinks being transmitted to other satellite networks. The closed-form approximations of capacity per beam are derived for the return link of IWSMSNs under terrestrial interference by using the Haar approximations where the IWSMSNs experience the Rician fading channel. The optimal joint decoding capacity can be considered as the upper bound where all of the SSs’ signals can be jointly decoded by a super-receiver on board the multibeam satellite or a gateway station that knows all of the code books. While the linear minimum mean square error (MMSE) capacity is where all of the signals of SSs are decoded singularly by a multibeam satellite or a gateway station. The simulations show that the optimal capacities are obviously higher than the MMSE capacities under the same conditions, while the capacities are lowered by Rician fading and converge as the Rician factor increases. α and β jointly affect the performance of hybrid 1D and 2D beam models, and the number of SSs also contributes different effects on the optimal capacity and MMSE capacity of the IWSMSNs. View Full-Text
Keywords: integrated wireless sensor and multibeam satellite networks; terrestrial interference; optimal capacity; minimum mean square error; Haar approximation; Rician fading integrated wireless sensor and multibeam satellite networks; terrestrial interference; optimal capacity; minimum mean square error; Haar approximation; Rician fading
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MDPI and ACS Style

Li, H.; Yin, H.; Gong, X.; Dong, F.; Ren, B.; He, Y.; Wang, J. Performance Analysis of Integrated Wireless Sensor and Multibeam Satellite Networks Under Terrestrial Interference. Sensors 2016, 16, 1711.

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