TY - GEN
T1 - UAV-Aided NOMA Networks with Optimization of Trajectory and Precoding
AU - Pang, Xiaowei
AU - Li, Zan
AU - Chen, Xiaoming
AU - Cao, Yang
AU - Zhao, Nan
AU - Chen, Yunfei
AU - Ding, Zhiguo
N1 - Funding Information:
This research was supported by the open research fund of State Key Laboratory of Integrated Services Networks under Grant ISN19-02, the National Natural Science Foundation of China (NSFC) under Grant 61871065, the Fundamental Research Funds for the Central Universities under DUT17JC43, and the Xinghai Scholars Program. Nan Zhao is the corresponding author ([email protected]).
Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/30
Y1 - 2018/11/30
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. 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 to cancel the interference from the BS to the UAV-served user. 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. 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 to cancel the interference from the BS to the UAV-served user. Numerical results are provided to evaluate the effectiveness of the proposed algorithms for the hybrid NOMA and UAV network.
KW - Interference avoidance
KW - NOMA
KW - precoding
KW - trajectory optimization
KW - UAV
UR - http://www.scopus.com/inward/record.url?scp=85059941694&partnerID=8YFLogxK
U2 - 10.1109/WCSP.2018.8555640
DO - 10.1109/WCSP.2018.8555640
M3 - Conference contribution
AN - SCOPUS:85059941694
T3 - 2018 10th International Conference on Wireless Communications and Signal Processing, WCSP 2018
BT - 2018 10th International Conference on Wireless Communications and Signal Processing, WCSP 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Wireless Communications and Signal Processing, WCSP 2018
Y2 - 18 October 2018 through 20 October 2018
ER -