利用非线性功率放大器进行多波束卫星通信的失真感知波束成形设计

IF 7.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Xiang Xiao, Li You, Kezhi Wang, Xiqi Gao
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引用次数: 0

摘要

硬件组件会造成不同的损伤,包括功率放大器(PA)非线性,这不可避免地会影响卫星通信(SATCOM)的系统性能。在这项工作中,我们考虑了多波束 SATCOM 下行链路系统,并研究了具有功率放大器非线性特性的失真感知波束成形方案。值得注意的是,我们的目标是最大化资源效率(RE),其定义为能源效率(EE)与频谱效率(SE)的加权和,以获得灵活的 EE-SE 权衡,同时考虑功率放大器失真特性和总功率约束。鉴于优化目标是比率之和,且约束条件具有高度非凸性,我们提出了一种利用二次变换、拉格朗日乘法和梯度上升法来处理这一问题的有效方法。仿真结果表明了失真感知波束成形方法在实现 EE-SE 权衡方面的有效性,并显示出与假定卫星发射器采用理想线性功率放大器的传统方法相比,RE 性能大幅提升。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distortion-aware beamforming design for multi-beam satellite communications with nonlinear power amplifiers

Hardware components can cause different impairments, including power amplifier (PA) non-linearities, which inevitably impact the system performance of satellite communications (SATCOM). In this work, we consider a multi-beam SATCOM downlink system and investigate the distortion-aware beamforming scheme with the characteristics of PA non-linearities. Notably, we aim to maximize the resource efficiency (RE), defined as the weighted sum of energy efficiency (EE) with spectral efficiency (SE), to obtain a flexible EE-SE tradeoff while accounting for the characteristics of PA distortion and the total power constraints. Given that the optimization objective is a sum of ratios and the high non-convexity involved in constraints, we propose an efficient approach that exploits the quadratic transformation, the Lagrange multiplier method, and the gradient ascent approach to handle this issue. Simulation results demonstrate the effectiveness of the distortion-aware beamforming approach in achieving the EE-SE tradeoff and exhibit a substantial RE performance gain over the conventional approach with ideal linear PAs assumed at the satellite transmitters.

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来源期刊
Science China Information Sciences
Science China Information Sciences COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
12.60
自引率
5.70%
发文量
224
审稿时长
8.3 months
期刊介绍: Science China Information Sciences is a dedicated journal that showcases high-quality, original research across various domains of information sciences. It encompasses Computer Science & Technologies, Control Science & Engineering, Information & Communication Engineering, Microelectronics & Solid-State Electronics, and Quantum Information, providing a platform for the dissemination of significant contributions in these fields.
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