A Robust Power Control Algorithm with Priority of Energy Efficiency

doi:10.7652/xjtuxb202102017

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A Robust Power Control Algorithm with Priority of Energy Efficiency

更新时间：2025-07-09

- A Robust Power Control Algorithm with Priority of Energy Efficiency
- Vol. 55, Issue 2, Pages: 143-149(2021)
- 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：
- DOI：10.7652/xjtuxb202102017
  CLC： TN927
- Online First：10 February 2021，
  
  Published：2021
- 稿件说明：
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A Robust Power Control Algorithm with Priority of Energy Efficiency[J]. 2021, 55(2): 143-149.
DOI：

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

王闯, 胡婧, 李永强, 等. 空间信息网络中面向双卫星的频谱共享方法 [J]. 航空学报, 2019, 40(9): 252-264.

WANG Chuang, HU Jing, LI Yongqiang, et al. Spectrum sharing for two satellites in space information networks [J]. Acta Aeronautica Sinica, 2019, 40(9): 252-264.

FERGUSON D, WHITE S, RAST R, et al. The case for global positioning system arcing and high satellite arc rates [J]. IEEE Transactions on Plasma Science, 2019, 47(8): 3834-3841.

JIANG Xianyang, LU Jianhua. Power minimization for cognitive relay networks with interference-based strategy [J]. IEEE Communications Letters, 2013, 17(10): 1936-1939.

LAGUNAS E, MALEKI S, CHATZINOTAS S, et al. Power and rate allocation in cognitive satellite uplink networks [C]∥2016 IEEE International Conference on Communications. Piscataway, NJ, USA: IEEE, 2016: 7510839.

RUAN Yuhan, LI Yongzhao, WANG Chengxiang, et al. Energy efficient adaptive transmissions in integrated satellite-terrestrial networks with SER constraints [J]. IEEE Transactions on Wireless Communications, 2018, 17(1): 210-222.

MOHAMMED S, ABDESSAMAD E R, RACHID S, et al. Controlling interference and power consumption in cognitive radio based on game theory [C]∥Proceedings of the 4th International Conference on Smart City Applications. New York, USA: ACM, 2019: a96.

WANG Liang, SHENG Ming, ZHANG Yan, et al. Robust energy efficiency maximization in cognitive radio networks: the worst-case optimization approach [J]. IEEE Transactions on Communications, 2015, 63(1): 51-65.

YANG Guanglong, TAN Xuezhi, WANG Xiao. Robust power control algorithm based on probabilistic constraints in cognitive radio networks [C]∥6th EAI International Conference on Green Energy and Networking. Berlin, Germany: Springer Verlag, 2019: 25-35.

龙彦, 张晓倩, 方旭明, 等. 基于能量采集认知无线网中的资源分配方案研究 [J]. 通信学报, 2018, 39(9): 67-75.

LONG Yan, ZHANG Xiaoqian, FANG Xuming, et al. Research on resource allocation scheme in cognitive wireless network based on energy acquisition [J]. Chinese Journal of Communications, 2008, 39(9): 67-75.

TAO Yunzheng, WU Chunyan, HUANG Yuzhen, et al. A projected gradient based game theoretic approach for multi-user power control in cognitive radio network [J]. Frontiers of Information Technology Electronic Engineering, 2017, 19(3): 367-378.

WANG J, CHEN J, LU Y, et al. Robust power control under location and channel uncertainty in cognitive radio networks [J]. IEEE Wireless Communications Letters, 2015, 4(2): 113-116.

SHI Shengchao, LI Guangxia, AN Kang, et al. Optimal power control for real-time applications in cognitive satellite terrestrial networks [J]. IEEE Communications Letters, 2017, 21(8): 1815-1818.

崔曼曼. 大规模MIMO认知无线电系统中的功率优化算法研究 [D]. 广州: 华南理工大学, 2018: 19-21.

冯刚, 覃锡忠, 贾振红, 等. 认知无线电环境下无线能量通信网能效研究 [J]. 计算机工程, 2019, 45(3): 142-147.

FRNG Gang, QIN Xizhong, JIA Zhenhong, et al. Research on the energy efficiency of wireless energy communication network in cognitive radio environment [J]. Computer Engineering, 2019, 45(3): 142-147.

SHI W J, WANG S W. Energy-efficient resource allocation in cognitive radio systems [C]∥IEEE Wireless Communications and Networking Conference. Piscataway, NJ, USA: IEEE, 2013: 4618-4623.

KANG S, JOO C, LEE J, et al. Pricing for past channel state information in multi-channel cognitive radio networks [J]. IEEE Transactions on Mobile Computing, 2018, 17(4): 859-870.

DONOHO D L, ELAD M, TEMLYAKOV V N. Stable recovery of sparse overcomplete representations in the presence of noise [J]. IEEE Transactions on Information Theory, 2006, 52(1): 6-18.

王维维, 吴呈瑜, 占敖, 等. 5G混合网络中基于TDMA系统的能效优化方法 [J]. 无线电通信技术, 2019, 45(1): 42-47.

WANG Weiwei, WU Chengyu, ZHAN Ao, et al. Energy efficiency optimization method based on TDMA system in 5G hybrid network [J]. Radio Communications Technology, 209, 45(1): 42-47.

PALOMR D P, CHIANG M. A tutorial on decomposition methods for network utility maximization [J]. IEEE Journal on Selected Areas in Communications, 2006, 24(8): 1439-1451.

HE Xiaoli, JIANG Hong, SONG Yu, et al. Joint optimization of channel allocation and power control for cognitive radio networks with multiple constraints [J]. Wireless Networks, 2020, 26(1): 101-120.

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