基于博弈策略的能效优化的子载波分配方法

doi:10.3969/j.issn.0372-2112.2019.12.015

电子学报 ›› 2019, Vol. 47 ›› Issue (12): 2561-2568.DOI: 10.3969/j.issn.0372-2112.2019.12.015

基于博弈策略的能效优化的子载波分配方法

张婷^1,2, 张德干^1,2, 赵彭真^1,2, 龚倡乐^1,2, 周舢^1,2

1. 天津理工大学天津市智能计算及软件新技术重点实验室, 天津 300384;
2. 天津理工大学计算机视觉与系统省部共建教育部重点实验室, 天津 300384

收稿日期:2018-11-06 修回日期:2019-07-03 出版日期:2019-12-25
- 作者简介:
- 张婷女,1972年,天津理工大学计算机科学与工程学院在读博士生,研究方向为网络通信、物联网、无线传感器网络等.E-mail:873432318@qq.com;张德干 男,1970年,天津理工大学计算机科学与工程学院教授/博士,博导,研究方向为物联网、无线传感器网络等.E-mail:gandegande@qq.com;赵彭真 男,1996年,天津理工大学计算机科学与工程学院在读硕士生,研究方向为网络通信、物联网、无线传感器网络等.E-mail:1140207721@qq.com;龚倡乐 男,1995年,天津理工大学计算机科学与工程学院在读硕士生,研究方向为物联网、无线传感器网络等.E-mail:1289854673@qq.com;周舢男,1993年,天津理工大学计算机科学与工程学院硕士生,研究方向为物联网、网络通信等.E-mail:1134983090@qq.com
- 基金资助:
- 国家自然科学基金 (No.61571328）; 天津市重大科技专项 (No.15ZXDSGX00050，No.16ZXFWGX00010）; 天津市科技支撑重点项目 (No.17YFZCGX00360）; 天津市自然科学基金 (No.18JCZDJC96800）; 天津市科技创新和131人才团队 (No.TD12-5016，No.TD13-5025，No.2015-23）

A Kind of Novel Sub-carrier Dispatching Approach Based on Game Strategy for EEO

ZHANG Ting^1,2, ZHANG De-gan^1,2, ZHAO Peng-zhen^1,2, GONG Chang-le^1,2, ZHOU Shan^1,2

1. Tianjin Key Lab of Intelligent Computing & Novel software Technology, Tianjin University of Technology, Tianjin 300384, China;
2. Key Laboratory of Computer Vision and System(Tianjin University of Technology), Ministry of Education, Tianjin 300384, China

Received:2018-11-06 Revised:2019-07-03 Online:2019-12-25 Published:2019-12-25
- Supported by:
- National Natural Science Foundation of China (No.61571328); Major Science and Technology Project of Tianjin Municipality (No.15ZXDSGX00050, No.16ZXFWGX00010); Key Program of Tianjin science and technology support project (No.17YFZCGX00360); Program of Natural Science Foundation ofTianjin Municipality, China (No.18JCZDJC96800); Tianjin Science and Technology Innovation and 131 Talent Team (No.TD12-5016, No.TD13-5025, No.2015-23)

摘要/Abstract

摘要： 本文引入显示当前子载波质量的信道状态矩阵，以系统总功耗、单个子载波上的功耗、总时延、干扰温度限和单个子载波上的次用户数等为约束条件，以能效为目标函数，建立多约束条件下的分式规划机制.设计演化博弈算子，为每个次用户建立效用函数，当每个次用户的效用函数达到最优时，演化博弈达到Nash均衡点，此时的策略组合认为是能效相对最优的资源分配状态.通过实验仿真对比，本文给出的EESA-EG（Energy Efficient Subcarrier Allocation withEvolutionary Game）算法的能效相对最优，且给出了相对最为合理的子载波分配方案，为信道状态更优的子载波分配了更多的子载波.

关键词: 认知网络, 子载波, 资源分配, 博弈, 最优

Abstract: A kind of novel sub-carrier dispatching approach based on game strategy for EEO (named EESA-EG) has been put forward. In this approach, we adopted the channel state matrix to show the quality of sub-carriers under the banner of relative constraint factors with the height of secondary user, the total data transmission rate limit, total power consumption constraint and power consumption constraint on a single sub-carrier. At the same time, the nonlinear fractional programming mechanism is designed to pursue the maximum of energy efficiency, which is used as the objective function. The utility function for each secondary user is set up when the game operator is developed. If the utility function reaches the optimization, the evolutionary game process will become Nash equilibrium, which is regarded as the relatively optimal energy efficient resource dispatching status. Based on our experimental tests, our proposed approach gives the relatively reasonable sub-carrier dispatching effect, which can dispatch more sub-carriers with relatively better channel state.

Key words: cognitive network, sub-carrier, resource dispatching, game, optimization

中图分类号:

TP393

张婷, 张德干, 赵彭真, 等. 基于博弈策略的能效优化的子载波分配方法[J]. 电子学报, 2019, 47(12): 2561-2568.

ZHANG Ting, ZHANG De-gan, ZHAO Peng-zhen, et al. A Kind of Novel Sub-carrier Dispatching Approach Based on Game Strategy for EEO[J]. Acta Electronica Sinica, 2019, 47(12): 2561-2568.

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基于博弈策略的能效优化的子载波分配方法

A Kind of Novel Sub-carrier Dispatching Approach Based on Game Strategy for EEO

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