TY - JOUR
T1 - Joint Trajectory and Precoding Optimization for UAV-Assisted NOMA Networks
AU - Zhao, Nan
AU - Pang, Xiaowei
AU - Li, Zan
AU - Chen, Yunfei
AU - Li, Feng
AU - Ding, Zhiguo
AU - Alouini, Mohamed Slim
N1 - Funding Information:
Manuscript received May 18, 2018; revised September 10, 2018, October 31, 2018 and December 22, 2018; accepted January 21, 2019. Date of publication January 29, 2019; date of current version May 15, 2019. The work of N. Zhao was supported in part by the National Natural Science Foundation of China under Grant 61871065, in part by the Open Research Fund of State Key Laboratory of Integrated Services Networks under Grant ISN19-02, in part by the Fundamental Research Funds for the Central Universities under Grant DUT17JC43, and in part by the Xinghai Scholars Program. The work of Z. Li was supported in part by the Key Project of National Natural Science Foundation of China (NSFC) under Grant 61631015, and in part by the Fundamental Research Funds for the Central Universities under Grant 7215433803. The work of Z. Ding was supported in part by the UK EPSRC under Grant EP/N005597/1, in part by NSFC under Grant 61728101, and in part by H2020-MSCA-RISE-2015 under Grant 690750. This paper was presented at the Proceedings of WCSP 2018 [1]. The associate editor coordinating the review of this paper and approving it for publication was W. Chen. (Corresponding author: Feng Li.) N. Zhao and X. Pang are with the School of Information and Communication Engineering, Dalian University of Technology, Dalian 116024, China, and also with the State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an 710071, China (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 1972-2012 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - 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, the 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.
AB - 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, the 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.
KW - Interference avoidance
KW - non-orthogonal multiple access
KW - precoding
KW - trajectory optimization
KW - unmanned aerial vehicle
UR - https://www.scopus.com/pages/publications/85064596148
U2 - 10.1109/TCOMM.2019.2895831
DO - 10.1109/TCOMM.2019.2895831
M3 - Article
AN - SCOPUS:85064596148
SN - 0090-6778
VL - 67
SP - 3723
EP - 3735
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
IS - 5
M1 - 8629316
ER -