Next Article in Journal
A Clamping Force Estimation Method Based on a Joint Torque Disturbance Observer Using PSO-BPNN for Cable-Driven Surgical Robot End-Effectors
Previous Article in Journal
Optical Sensors for Multi-Axis Angle and Displacement Measurement Using Grating Reflectors
Open AccessArticle

Sensing-Based Dynamic Spectrum Sharing in Integrated Wireless Sensor and Cognitive Satellite Terrestrial Networks

by Jing Hu 1,†, Guangxia Li 1,†, Dongming Bian 1,†, Jingyu Tang 1,† and Shengchao Shi 2,*,†
1
College of Communications Engineering, People Liberation Army Engineering University, No. 2 Biaoying, Qinhuai District, Nanjing 210007, China
2
Beijing Institute of Information Technology, Beijing 100094, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Sensors 2019, 19(23), 5290; https://doi.org/10.3390/s19235290
Received: 24 October 2019 / Revised: 25 November 2019 / Accepted: 27 November 2019 / Published: 1 December 2019
(This article belongs to the Section Sensor Networks)
This paper presents a cognitive satellite communication based wireless sensor network, which combines the wireless sensor network and the cognitive satellite terrestrial network. To address the conflict between the continuously increasing demand and the spectrum scarcity in the space network, the cognitive satellite terrestrial network becomes a promising candidate for future hybrid wireless networks. With the higher transmit capacity demand in satellite networks, explicit concerns on efficient resource allocation in the cognitive network have gained more attention. In this background, we propose a sensing-based dynamic spectrum sharing scheme for the cognitive satellite user, which is able to maximize the ergodic capacity of the satellite user with the interference of the primary terrestrial user below an acceptable average level. Firstly, the cognitive satellite user monitors the channel allocated to the terrestrial user through the wireless sensor network; then, it adjusts the transmit power based on the sensing results. If a terrestrial user is busy, the satellite user can access the channel with constrained power to avoid deteriorating the communication quality of the terrestrial user. Otherwise, if the terrestrial user is idle, the satellite user allocates the transmit power based on its benefit to enhance the capacity. Since the sensing-based dynamic spectrum sharing optimization problem can be modified into a nonlinear fraction programming problem in perfect/imperfect sensing conditions, respectively, we solve them by the Lagrange duality method. Computer simulations have shown that, compared with the opportunistic spectrum access, the proposed method can increase the channel capacity more than 20 % for P a v = 10 dB in a perfect sensing scenario. In an imperfect sensing scenario, P a v = 15 dB and Q a v = 5 dB, the optimal sensing time achieving the highest ergodic capacity is about 2.34 ms when the frame duration is 10 ms. View Full-Text
Keywords: cognitive satellite; wireless sensor network; ergodic capacity; fading channel; opportunistic spectrum access; spectrum sharing cognitive satellite; wireless sensor network; ergodic capacity; fading channel; opportunistic spectrum access; spectrum sharing
Show Figures

Figure 1

MDPI and ACS Style

Hu, J.; Li, G.; Bian, D.; Tang, J.; Shi, S. Sensing-Based Dynamic Spectrum Sharing in Integrated Wireless Sensor and Cognitive Satellite Terrestrial Networks. Sensors 2019, 19, 5290.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop