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    Joint Trajectory and Precoding Optimization for UAV-Assisted NOMA Networks

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    08629316.pdf
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    Embargo End Date:
    2021-01-29
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    Type
    Article
    Authors
    Zhao, Nan
    Pang, Xiaowei
    Li, Zan
    Chen, Yunfei
    Li, Feng
    Ding, Zhiguo
    Alouini, Mohamed-Slim
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2019-01-29
    Permanent link to this record
    http://hdl.handle.net/10754/631011
    
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    Abstract
    The explosive data traffic and connections in 5G networks require the use of non-orthogonal multiple access (NOMA) to accommodate more users. Unmanned aerial vehicle (UAV) can be exploited with NOMA to improve the situation further. In this paper, we propose a UAV-assisted NOMA network, in which the UAV and base station (BS) cooperate with each other to serve ground users simultaneously. The sum rate is maximized by jointly optimizing the UAV trajectory and the NOMA precoding. To solve the optimization, we decompose it into two steps. First, the sum rate of the UAV-served users is maximized via alternate user scheduling and UAV trajectory, with its interference to the BS-served users below a threshold. Then, the optimal NOMA precoding vectors are obtained using two schemes with different constraints. The first scheme intends to cancel the interference from the BS to the UAV-served user, while the second one restricts the interference to a given threshold. In both schemes, non-convex optimization problems are converted into tractable ones. An iterative algorithm is designed. Numerical results are provided to evaluate the effectiveness of the proposed algorithms for the hybrid NOMA and UAV network.
    Citation
    Zhao N, Pang X, Li Z, Chen Y, Li F, et al. (2019) Joint Trajectory and Precoding Optimization for UAV-Assisted NOMA Networks. IEEE Transactions on Communications: 1–1. Available: http://dx.doi.org/10.1109/tcomm.2019.2895831.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Communications
    ISSN
    0090-6778
    1558-0857
    DOI
    10.1109/tcomm.2019.2895831
    Additional Links
    https://ieeexplore.ieee.org/document/8629316
    ae974a485f413a2113503eed53cd6c53
    10.1109/tcomm.2019.2895831
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