Research Article
Weighted Sum Rate Maximization for NOMA-Based UAV Networks
@INPROCEEDINGS{10.1007/978-3-030-67720-6_4, author={Zhengqiang Wang and Hao Zhang and Xiaoyu Wan and Zifu Fan and Xiaona Yang and Yuanmao Ji}, title={Weighted Sum Rate Maximization for NOMA-Based UAV Networks}, proceedings={Communications and Networking. 15th EAI International Conference, ChinaCom 2020, Shanghai, China, November 20-21, 2020, Proceedings}, proceedings_a={CHINACOM}, year={2021}, month={2}, keywords={Unmanned aerial vehicle Non-orthogonal multiple access Power allocation Placement optimization Weighted sum rate}, doi={10.1007/978-3-030-67720-6_4} }- Zhengqiang Wang
Hao Zhang
Xiaoyu Wan
Zifu Fan
Xiaona Yang
Yuanmao Ji
Year: 2021
Weighted Sum Rate Maximization for NOMA-Based UAV Networks
CHINACOM
Springer
DOI: 10.1007/978-3-030-67720-6_4
Abstract
The unmanned aerial vehicle (UAV) based aerial base station (BS) has emerged as a feasible solution to the high traffic demands of the future wireless networks. It is essential that UAV can integrat with non-orthogonal multiple access (NOMA) to support the massive connection service. In this paper, we study the problem of weighted sum rate maximization in the downlink for NOMA-based UAV networks. This is a non-convex optimization problem, which is intractable to be directly solved using the convex optimization method. To deal with the problem, we propose an efficient iterative algorithm via variable substitution and relaxation methods, then construct the framework of alternating optimization to solve the problem joint placement and power allocation optimization. The simulation results show that the proposed algorithm performs better than other schemes.
