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Performance analysis of UAV-assisted DF relaying network with hardware impairments and energy harvesting

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Abstract

The unmanned aerial vehicle (UAV) is considered a promising auxiliary relay for enhancing network coverage due to its easy deployment, agility, and maneuverability. In order to overcome the obstruction of towering buildings and the limitation of relaying energy, this paper proposes a half-duplex decode-and-forward UAV-assisted relaying network based on simultaneous wireless information and power transfer scheme. The power splitting (PS) is implemented at the UAV relay to address the challenge of energy limitation by separating information and energy from the radio frequency signal. We also study the impact of hardware impairments on transmitters, which can actually degrade communication performance. We derive both an exact expression and asymptotic analysis for the outage probability (OP) with energy harvesting and hardware impairments. In addition, we formulate an optimization form to find the optimal PS ratio and minimize the outage probability. Due to the nonconvex nature of this optimization problem, we perform a series of transformations to reformulate it into a convex optimization form. Experimental simulations validate our theoretical results. Specifically, optimal altitude for UAV is about 300 m and relatively constant in different conditions. The OP of our work is nearly 0.33 smaller than that of AF relaying in a given situation. Moreover, we provide practical guidance for the design and deployment of the UAV-assisted communication by exploring the effects of UAV’s altitude, hardware impairments level, and power splitting ratio on the outage probability.

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Code availability

The datasets generated during the current study are available from the corresponding author by reasonable request.

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Funding

This work was supported by the National Natural Science Foundation of China (NSFC, No. 61702320) and the Natural Science Foundation of Shanghai Science and Technology Innovation Action Plan (No. 22ZR1425300).

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Authors and Affiliations

  1. School of Electronic Information Engineering, Shanghai Dianji University, Shanghai, 201306, China

    Jielin Chen, Niansheng Chen, Songlin Cheng, Guangyu Fan, Lei Rao & Xiaoyong Song

  2. School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, 201620, China

    Wenjing Lv

  3. Alibaba Group, Shanghai, 201107, China

    Dingyu Yang

Authors
  1. Jielin Chen
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  2. Niansheng Chen
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  3. Songlin Cheng
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  4. Guangyu Fan
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All authors contributed to the design and methodology of this study, the assessment of the outcomes and the writing of the manuscript.

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Correspondence to Songlin Cheng.

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Chen, J., Chen, N., Cheng, S. et al. Performance analysis of UAV-assisted DF relaying network with hardware impairments and energy harvesting. Wireless Netw (2024). https://doi.org/10.1007/s11276-024-03703-7

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