期刊
IEEE TRANSACTIONS ON COMMUNICATIONS
卷 69, 期 2, 页码 962-975出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCOMM.2020.3037345
关键词
Protocols; NOMA; Unmanned aerial vehicles; Resource management; Optimization; Copper; Relay networks (telecommunication); Non-orthogonal multiple access; unmanned aerial vehicle; relay; height optimization; resource allocation
资金
- National Natural Science Foundation of China [61901381, 61901378, 61941119, 61901367]
- China Postdoctoral Science Foundation [BX20180262, 2018M641019, BX20190287, 2020M683563]
- Natural Science Basic Research Plan in Shaanxi Province [2019JQ-631, 2020JQ-844]
- Foundation of the State Key Laboratory of Integrated Services Networks of Xidian University [ISN21-06]
- U.K. Engineering and Physical Sciences Research Council [EP/P009719/2]
- NSFC [61728101]
- H2020-MSCARISE-2015 [690750]
This paper investigates the application of NOMA technique in UAV aided relay networks, proposing a NOMA-DF relay protocol to enhance performance. Theoretical analysis and algorithm design show that the proposed protocol and algorithms can significantly improve network performance.
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.
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