无人机辅助合作 NOMA 和 OFDM 通信系统:分析与优化

IF 3.3 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Thuc Kieu-Xuan, Anh Le-Thi
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引用次数: 0

摘要

利用无人驾驶飞行器(UAV)促进无线通信已成为增强当前和未来无线系统的一项可行且前景广阔的战略。这种方法通过建立视距连接、优化运行效率以及在各种地形中实现灵活部署能力,提供了许多优势。因此,在本文中,我们研究了无人机在中继网络中的通信,其中无人机在飞往一个地点时帮助源用户和两个目的地用户之间进行通信。为了全面了解我们提出的系统,我们考虑了正交多址接入(如 OFDM)和非正交多址接入(NOMA)两种情况。此外,在地面基站和无人机的总带宽和总功率的约束下,我们应用连续凸优化(SCO)和块坐标梯度下降(BCGD)来解决总速率优化问题,以提高系统性能。实验结果验证了我们提出的算法显著提高了可实现的保密率,并显示出发射功率、无人机飞行轨迹和速度以及 OFDM 和 NOMA 资源分配等关键参数的最佳趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UAV-Assisted Cooperative NOMA and OFDM Communication Systems: Analysis and Optimization
Utilizing unmanned aerial vehicles (UAVs) to facilitate wireless communication has emerged as a viable and promising strategy to enhance current and prospective wireless systems. This approach offers many advantages by establishing line-of-sight connections, optimizing operational efficiency, and enabling flexible deployment capabilities in various terrains. Thus, in this paper, we investigate UAV communication in a relaying network in which a UAV helps communication between a source and two destination users while flying to a location. To have a complete view of our proposed system, we consider both orthogonal multiple access, such as OFDMs and non-orthogonal multiple access (NOMA) scenarios. Moreover, we apply successive convex optimization (SCO) and the block-coordinate gradient descent (BCGD) for the sum-rate optimization problems to improve the system performance under constraints of total bandwidth and total power at the ground base station and UAV. The experimental results validate that the achievable secrecy rates are notably enhanced using our proposed algorithms and show optimal trends for critical parameters, such as transmit powers, the flight trajectory and speed of the UAV, and resource allocation of OFDM and NOMA.
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来源期刊
Journal of Sensor and Actuator Networks
Journal of Sensor and Actuator Networks Physics and Astronomy-Instrumentation
CiteScore
7.90
自引率
2.90%
发文量
70
审稿时长
11 weeks
期刊介绍: Journal of Sensor and Actuator Networks (ISSN 2224-2708) is an international open access journal on the science and technology of sensor and actuator networks. It publishes regular research papers, reviews (including comprehensive reviews on complete sensor and actuator networks), and short communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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