能效优先的鲁棒功率控制算法

陈威龙 1; 梁俊 1; 肖楠 1; 赵国栋 2; 郭子桢 1

doi:10.7652/xjtuxb202102017

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能效优先的鲁棒功率控制算法

更新时间：2025-07-09

- 能效优先的鲁棒功率控制算法
- A Robust Power Control Algorithm with Priority of Energy Efficiency
- 西安交通大学学报 2021年55卷第2期页码：143-149
- 作者机构：
  
  空军工程大学信息与导航学院,西安,710077
- 作者简介：
- 基金信息：
  
  : 2020-04-13。作者简介: 陈威龙(1996—),男,硕士生;梁俊(通信作者),男,教授。基金项目: 国家自然科学基金资助项目(61871474)
- DOI：10.7652/xjtuxb202102017
  中图分类号： TN927
- 网络首发：2021-02-10，
  
  纸质出版：2021
- 稿件说明：
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陈威龙 1, 梁俊 1, 肖楠 1, 等. 能效优先的鲁棒功率控制算法[J]. 西安交通大学学报, 2021,55(2):143-149.

A Robust Power Control Algorithm with Priority of Energy Efficiency[J]. 2021, 55(2): 143-149.
陈威龙 1, 梁俊 1, 肖楠 1, 等. 能效优先的鲁棒功率控制算法[J]. 西安交通大学学报, 2021,55(2):143-149. DOI： 10.7652/xjtuxb202102017.

A Robust Power Control Algorithm with Priority of Energy Efficiency[J]. 2021, 55(2): 143-149. DOI： 10.7652/xjtuxb202102017.

摘要

针对卫星网络中存在信道感知误差使得传统基于理想信道感知的功率控制算法性能下降的问题

提出一种基于认知无线电的能效优先的鲁棒功率控制算法。首先考虑卫星网络中距离感知的不确定性

通过分析推导与距离相关的路径损耗和阴影效应的信道增益分布

建立星地认知功率控制模型

从而将功率控制问题转化为约束条件下的最优化求解问题

同时引入概率约束

利用分式规划与拉格朗日对偶理论

达到认知用户最优的功率控制。仿真结果表明:该算法具有较快的收敛速度和较低的复杂度; 与非能效优先的功率控制算法相比

在感知误差存在情况下网络能量效率最大可提高50%。

Abstract

A robust power control algorithm with priority of energy efficiency based on cognitive radio is proposed to solve the problem that the performance of traditional power control algorithms based on ideal channel perception is degraded due to channel perception errors in satellite networks. The uncertainty of distance perception in a satellite network is firstly considered. A cognitive power control model is then established by analyzing the distance dependent path loss derived from the related channel gain distribution and shadow effect

so that the power control problem is transformed into an optimization problem with constraint conditions. Probability constraints are introduced and the cognitive user optimal power control is realized by using the fractional programming and Lagrange duality theory. Simulation results show that the algorithm has a faster convergence rate and lower complexity. Compared with the power control algorithm without energy efficiency first

the network energy efficiency can be improved by 50% at most in the case of perception error.

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references

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