TY - JOUR
T1 - Height Optimization and Resource Allocation for NOMA Enhanced UAV-Aided Relay Networks
AU - Zhai, Daosen
AU - Li, Huan
AU - Tang, Xiao
AU - Zhang, Ruonan
AU - Ding, Zhiguo
AU - Yu, Fei Richard
N1 - Funding Information:
Manuscript received March 1, 2020; revised August 4, 2020 and October 17, 2020; accepted November 3, 2020. Date of publication November 16, 2020; date of current version February 17, 2021. This work was supported in part by the National Natural Science Foundation of China under Grant 61901381, Grant 61901378, Grant 61941119, and Grant 61901367, in part by the China Postdoctoral Science Foundation under Grant BX20180262, Grant 2018M641019, Grant BX20190287, and Grant 2020M683563, in part by the Natural Science Basic Research Plan in Shaanxi Province under Grant 2019JQ-631 and Grant 2020JQ-844, and in part by the Foundation of the State Key Laboratory of Integrated Services Networks of Xidian University under Grant ISN21-06. Z. Ding was supported in part by the U.K. Engineering and Physical Sciences Research Council under Grant EP/ P009719/2, in part by the NSFC under Grant 61728101, and in part by the H2020-MSCA-RISE-2015 under Grant 690750. This article was presented in part at the 2020 IEEE International Conference on Communications Workshops (IEEE ICC 2020 Workshops). The associate editor coordinating the review of this article and approving it for publication was S. Ma. (Corresponding author: Xiao Tang.) Daosen Zhai is with the School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China, and also with the State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an 710071, China (e-mail: [email protected]).
Publisher Copyright:
© 1972-2012 IEEE.
PY - 2021/2
Y1 - 2021/2
N2 - In this paper, we investigate the application of the non-orthogonal multiple access (NOMA) technique into the unmanned aerial vehicle (UAV) aided relay networks. Specifically, we first incorporate the NOMA protocol with the decode-and-forward (DF) relay protocol to enhance the performance of the cell edge users in a macrocell network. Theoretical analysis indicates that the NOMA-DF-relay protocol outperforms the conventional orthogonal multiple access (OMA) based DF-relay protocol in terms of data rate. To fully exploit the advantages of the proposed protocol, we formulate a joint UAV height optimization, channel allocation, and power allocation problem with the objective to maximize the total data rate of the cell edge users under the coverage of the UAV. For solving the formulated problem effectively, we first analyze its property and employ the golden section method to propose a general framework to obtain the optimal height of the UAV. Then, we design a low-complexity iterative algorithm to solve the joint channel-and-power allocation problem based on the matching theory and the Lagrangian dual decomposition technique. Finally, simulation results demonstrate that the NOMA-DF-relay protocol is superior to the OMA-DF-relay protocol even when the system parameters are not optimized, and the proposed algorithms can further significantly improve the network performance in comparison with the other schemes.
AB - In this paper, we investigate the application of the non-orthogonal multiple access (NOMA) technique into the unmanned aerial vehicle (UAV) aided relay networks. Specifically, we first incorporate the NOMA protocol with the decode-and-forward (DF) relay protocol to enhance the performance of the cell edge users in a macrocell network. Theoretical analysis indicates that the NOMA-DF-relay protocol outperforms the conventional orthogonal multiple access (OMA) based DF-relay protocol in terms of data rate. To fully exploit the advantages of the proposed protocol, we formulate a joint UAV height optimization, channel allocation, and power allocation problem with the objective to maximize the total data rate of the cell edge users under the coverage of the UAV. For solving the formulated problem effectively, we first analyze its property and employ the golden section method to propose a general framework to obtain the optimal height of the UAV. Then, we design a low-complexity iterative algorithm to solve the joint channel-and-power allocation problem based on the matching theory and the Lagrangian dual decomposition technique. Finally, simulation results demonstrate that the NOMA-DF-relay protocol is superior to the OMA-DF-relay protocol even when the system parameters are not optimized, and the proposed algorithms can further significantly improve the network performance in comparison with the other schemes.
KW - height optimization
KW - Non-orthogonal multiple access
KW - relay
KW - resource allocation
KW - unmanned aerial vehicle
UR - http://www.scopus.com/inward/record.url?scp=85098774689&partnerID=8YFLogxK
U2 - 10.1109/TCOMM.2020.3037345
DO - 10.1109/TCOMM.2020.3037345
M3 - Article
AN - SCOPUS:85098774689
SN - 0090-6778
VL - 69
SP - 962
EP - 975
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
IS - 2
M1 - 9257576
ER -