Simulation Tools and Techniques. 11th International Conference, SIMUtools 2019, Chengdu, China, July 8–10, 2019, Proceedings

Research Article

Joint Transmit Power Allocation and Power Splitting for SWIPT System with Time Reversal

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  • @INPROCEEDINGS{10.1007/978-3-030-32216-8_41,
        author={Zuoliang Liu and Shanxue Chen},
        title={Joint Transmit Power Allocation and Power Splitting for SWIPT System with Time Reversal},
        proceedings={Simulation Tools and Techniques. 11th International Conference, SIMUtools 2019, Chengdu, China, July 8--10, 2019, Proceedings},
        proceedings_a={SIMUTOOLS},
        year={2019},
        month={10},
        keywords={Time reversal Simultaneous wireless information and power transfer Energy efficiency optimization},
        doi={10.1007/978-3-030-32216-8_41}
    }
    
  • Zuoliang Liu
    Shanxue Chen
    Year: 2019
    Joint Transmit Power Allocation and Power Splitting for SWIPT System with Time Reversal
    SIMUTOOLS
    Springer
    DOI: 10.1007/978-3-030-32216-8_41
Zuoliang Liu,*, Shanxue Chen
    *Contact email: 472741757@qq.com

    Abstract

    In the simultaneous wireless information and power transfer (SWIPT) system, time reversal (TR) is a special signal processing technology used to enhance the signal strength at the receiving end and improve the signal-to-noise ratio. In this paper, we study the joint transmit power allocation and power splitting algorithm for SWIPT system with TR. Considering a multi-input and single-output (MISO) SWIPT communication system, TR is introduced to construct a novel channel model, and the closed-form expression of energy efficiency (EE) is analyzed. An important problem is to maximize the energy efficiency by jointly transmit power allocation and power splitting, which is a two-element fractional non-convex problem. To solve it, we transform this problem to a convex optimization problem by a parametric method, and then solve it by one-dimensional search and CVX. Numerical results are provided to validate our proposed algorithm.