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Energy-efficient design for mmWave-enabled NOMA-UAV networks

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Abstract

Owing to the recent advances of non-orthogonal multiple access (NOMA) and millimeter-wave (mmWave), these two technologies are combined in unmanned aerial vehicle (UAV) networks in this paper. However, energy efficiency has become a significant metric for UAVs owning to their limited energy. Thus, we aim to maximize the energy efficiency for mmWave-enabled NOMA-UAV networks by optimizing the UAV placement, hybrid precoding and power allocation. However, the optimization problem is complicated and intractable, which is decomposed into several sub-problems. First, we solve the UAV placement problem by approximating it into a convex one. Then, the hybrid precoding with user clustering is performed to better reap the multi-antenna gain. Particularly, three schemes are proposed, where the cluster head selection algorithm is adopted while considering different equivalent channels of users. Finally, the power allocation is optimized to maximize the energy efficiency, which is converted to convex and solved via an iterative algorithm. Simulation results are provided to evaluate the performance of the proposed schemes.

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61871065, 61971194).

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Authors and Affiliations

  1. School of Information and Communication Engineering, Dalian University of Technology, Dalian, 116024, China

    Xiaowei Pang & Nan Zhao

  2. School of Electronic and Information Engineering, South China University of Technology, Guangzhou, 510641, China

    Jie Tang & Xiuyin Zhang

  3. Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, Lincoln, 68588, USA

    Yi Qian

Authors
  1. Xiaowei Pang
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  2. Jie Tang
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  3. Nan Zhao
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  4. Xiuyin Zhang
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  5. Yi Qian
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Corresponding author

Correspondence to Nan Zhao.

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Pang, X., Tang, J., Zhao, N. et al. Energy-efficient design for mmWave-enabled NOMA-UAV networks. Sci. China Inf. Sci. 64, 140303 (2021). https://doi.org/10.1007/s11432-020-2985-8

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  • DOI: https://doi.org/10.1007/s11432-020-2985-8

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