首页|基于不完美CSI的低轨卫星通信系统鲁棒资源分配算法

基于不完美CSI的低轨卫星通信系统鲁棒资源分配算法

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为了解决低轨卫星通信系统因资源受限导致的能量与速率不平衡的问题,同时考虑信道不确定性对实际卫星通信系统性能衰退的影响,该文提出一种基于最大化最小能效的鲁棒资源分配算法.首先,考虑每个用户中断速率约束、功率分配系数约束和最大发射功率约束,基于高斯信道不确定性,构建了联合优化卫星波束成形向量与功率分配因子的鲁棒资源分配模型.所描述的问题是一个含参数摄动的非凸、非确定性多项式难问题,很难直接求解.为此,基于丁克尔巴赫、伯恩斯坦不等式、半正定松弛和交替优化等方法将其转化为等价的凸优化问题,并提出一种基于迭代的混合鲁棒波束成形与功率分配算法.仿真结果表明,该文算法具有较好的能效和较强的鲁棒性.
Robust Resource Allocation Algorithm for Low Orbit Satellite Communication System Based on Imperfect CSI
In order to solve the imbalance problem between power consumption and transmission in low orbit satellite communication systems caused by the limited resource, a robust resource allocation algorithm is proposed to maximize the minimum energy efficiency of multiple users by considering the effect of channel uncertainties on the performance degradation of real satellite communication systems. Firstly, a robust resource allocation model with Gaussian channel uncertainties is formulated by jointly optimizing the beamforming vectors and power allocation factors of the multi-beam satellite, meanwhile the outage rate constraint of each user, the power allocation factor constraint and the maximum transmit power constraint are considered simultaneously. The formulated problem is a non-convex and NP-hard with parametric perturbation, which is difficult to solve it directly. To this end, the original problem is converted into a convex one by using Dinkelbach's method, Bernstein-type inequality, semi-definite relaxation and the alternating optimization technique, and an iteration-based hybrid robust beamforming and power allocation algorithm is proposed.Simulation results verify that the proposed algorithm has good energy efficiency and strong robustness.

Low orbit satellite communicationBeamformingEnergy-efficient optimizationRobustness

吴翠先、董燚恒、徐勇军、张海波、薛青

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重庆邮电大学通信与信息工程学院 重庆 400065

浙江省信息处理与通信网络重点实验室 浙江 310058

低轨卫星通信 波束成形 能效优化 鲁棒性

国家自然科学基金国家自然科学基金重庆市教委科学技术研究计划重庆市自然科学基金重点项目浙江省信息处理与通信网络重点实验室开放基金浙江省信息处理与通信网络重点实验室开放基金

62271094U21A20448KJZD-K202200601CSTB2022NSCQ-LZX0009IPCAN-2302IPCAN-2303

2024

电子与信息学报
中国科学院电子学研究所 国家自然科学基金委员会信息科学部

电子与信息学报

CSTPCD北大核心
影响因子:1.302
ISSN:1009-5896
年,卷(期):2024.46(2)
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