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International Conference on Communications and Networking in China

ChinaCom 2020: Communications and Networking pp 52–63Cite as

Weighted Sum Rate Maximization for NOMA-Based UAV Networks

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Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST,volume 352)

Abstract

The unmanned aerial vehicle (UAV) based aerial base station (BS) has emerged as a feasible solution to the high traffic demands of the future wireless networks. It is essential that UAV can integrat with non-orthogonal multiple access (NOMA) to support the massive connection service. In this paper, we study the problem of weighted sum rate maximization in the downlink for NOMA-based UAV networks. This is a non-convex optimization problem, which is intractable to be directly solved using the convex optimization method. To deal with the problem, we propose an efficient iterative algorithm via variable substitution and relaxation methods, then construct the framework of alternating optimization to solve the problem joint placement and power allocation optimization. The simulation results show that the proposed algorithm performs better than other schemes.

Keywords

  • Unmanned aerial vehicle
  • Non-orthogonal multiple access
  • Power allocation
  • Placement optimization
  • Weighted sum rate

This work was partially supported by the National Natural Science Foundation of P. R. China(No.61701064), Basic Research and Frontier Exploration Project of Chongqing (cstc2019jcyj-msxmX0264).

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  • DOI: 10.1007/978-3-030-67720-6_4
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Author information

Authors and Affiliations

  1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, People’s Republic of China

    Zhengqiang Wang, Hao Zhang, Xiaoyu Wan & Zifu Fan

  2. Huaxin Consulting Company Ltd, Hangzhou, 310014, Zhejiang, People’s Republic of China

    Xiaona Yang

  3. Senior Instructor, Ericsson (China) Communication Co., Ltd, Chaoyang, China

    Yuanmao Ji

Authors
  1. Zhengqiang Wang
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  2. Hao Zhang
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  3. Xiaoyu Wan
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  4. Zifu Fan
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  5. Xiaona Yang
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  6. Yuanmao Ji
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Corresponding author

Correspondence to Xiaona Yang .

Editor information

Editors and Affiliations

  1. Shanghai University, Shanghai, China

    Honghao Gao

  2. Tsinghua University, Beijing, China

    Pingyi Fan

  3. Fudan University, Shanghai, China

    Jun Wun

  4. Tongji University, Shanghai, China

    Xue Xiaoping

  5. Hangzhou Dianzi University, Hangzhou, China

    Prof. Jun Yu

  6. Huawei Technologies Co Ltd, Shanghai, China

    Dr. Yi Wang

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Wang, Z., Zhang, H., Wan, X., Fan, Z., Yang, X., Ji, Y. (2021). Weighted Sum Rate Maximization for NOMA-Based UAV Networks. In: Gao, H., Fan, P., Wun, J., Xiaoping, X., Yu, J., Wang, Y. (eds) Communications and Networking. ChinaCom 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 352. Springer, Cham. https://doi.org/10.1007/978-3-030-67720-6_4

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  • DOI: https://doi.org/10.1007/978-3-030-67720-6_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-67719-0

  • Online ISBN: 978-3-030-67720-6

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