Wireless Internet. 10th International Conference, WiCON 2017, Tianjin, China, December 16-17, 2017, Proceedings

Research Article

On the Optimal Spectrum Partitioning in D2D Enhanced Cellular Sensor Networks

  • @INPROCEEDINGS{10.1007/978-3-319-90802-1_17,
        author={Liqun Zhao and Hongpeng Wang and Xiaoxiong Zhong},
        title={On the Optimal Spectrum Partitioning in D2D Enhanced Cellular Sensor Networks},
        proceedings={Wireless Internet. 10th International Conference, WiCON 2017, Tianjin, China, December 16-17, 2017, Proceedings},
        proceedings_a={WICON},
        year={2018},
        month={5},
        keywords={D2D Cellular network Wireless sensor network Interference management Resource allocation},
        doi={10.1007/978-3-319-90802-1_17}
    }
    
  • Liqun Zhao
    Hongpeng Wang
    Xiaoxiong Zhong
    Year: 2018
    On the Optimal Spectrum Partitioning in D2D Enhanced Cellular Sensor Networks
    WICON
    Springer
    DOI: 10.1007/978-3-319-90802-1_17
Liqun Zhao1,*, Hongpeng Wang1,*, Xiaoxiong Zhong,*
  • 1: Harbin Institute of Technology (Shenzhen)
*Contact email: lxzlq2005@126.com, wanghp@hit.edu.cn, xixzhong@gmail.com

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.