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On the Optimal Spectrum Partitioning in D2D Enhanced Cellular Sensor Networks

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Wireless Internet (WiCON 2017)

Abstract

Device-to-Device communication is a key technique in future cellular sensor networks since it provides short range communications between two adjacent devices in terms of power consumption, green communication, and system capacity as compared to conventional homogeneous cellular network. What is more, the D2D protocol not only provides direct communication to various kinds of devices but also bridges together two devices of wireless sensor and cellular device. However, the sensors reuse licensed channels with cellular devices and potential result in severe interference from each other. In this paper, we investigate the problem of optimal spectrum partitioning and the impacts of device density on outage probability in cellular sensor networks. We convert the throughput maximization problem in to an optimal spectrum partitioning problem with signal to interference plus noise ratio constraints. Simulation results show that the proposed algorithm achieves the higher throughput.

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Acknowledgments

This research was supported in part by Shenzhen IOT key technology and application systems integration engineering laboratory and the Natural Science Foundation of Guangxi Province under grant 2016GXNSFBA380010. We would like to acknowledge the reviewers whose comments and suggestions significantly improved this paper.

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Correspondence to Liqun Zhao .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhao, L., Wang, H., Zhong, X. (2018). On the Optimal Spectrum Partitioning in D2D Enhanced Cellular Sensor Networks. In: Li, C., Mao, S. (eds) Wireless Internet. WiCON 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 230. Springer, Cham. https://doi.org/10.1007/978-3-319-90802-1_17

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  • DOI: https://doi.org/10.1007/978-3-319-90802-1_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-90801-4

  • Online ISBN: 978-3-319-90802-1

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