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Joint Location and Transmit Power Optimization for NOMA-UAV Networks via Updating Decoding Order
IEEE Wireless Communications Letters ( IF 6.3 ) Pub Date : 2021-01-01 , DOI: 10.1109/lwc.2020.3023253
Ran Zhang , Xiaowei Pang , Jie Tang , Yunfei Chen , Nan Zhao , Xianbin Wang

Unmanned aerial vehicle (UAV) can be combined with non-orthogonal multiple access (NOMA) to achieve better performance. However, jointly optimizing the location, transmit power and decoding order for NOMA-UAV networks remains difficult, due to the change of decoding order as a result of UAV mobility. In this letter, a low-complexity scheme is proposed to maximize the sum rate of NOMA-UAV networks via updating decoding order, which can be decomposed into two steps. First, the joint location and power optimization can be divided into two non-convex sub-problems, which are further approximated via successive convex optimization. Then, the decoding order is updated according to the optimized UAV location. An iterative algorithm is proposed to execute the two steps alternately. In addition, the asymptotic performance is analyzed. Simulation results demonstrate the effectiveness of the proposed scheme.

中文翻译:

通过更新解码顺序对 NOMA-UAV 网络进行联合定位和发射功率优化

无人机 (UAV) 可以与非正交多址 (NOMA) 相结合,以实现更好的性能。然而,由于无人机移动性导致解码顺序的变化,联合优化 NOMA-UAV 网络的位置、发射功率和解码顺序仍然很困难。在这封信中,提出了一种低复杂度的方案,通过更新解码顺序来最大化 NOMA-UAV 网络的总和率,该方案可以分解为两个步骤。首先,联合定位和功率优化可以分为两个非凸子问题,通过连续凸优化进一步近似。然后,根据优化的无人机位置更新解码顺序。提出了一种迭代算法来交替执行这两个步骤。此外,还分析了渐近性能。
更新日期:2021-01-01
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