认知网络干扰效率最大稳健功率与子载波分配算法

徐勇军; 杨洋; 刘期烈; 陈前斌; 林金朝

doi:10.11959/j.issn.1000-436x.2020007

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认知网络干扰效率最大稳健功率与子载波分配算法

学术论文 | 更新时间：2024-06-05

- 认知网络干扰效率最大稳健功率与子载波分配算法
- Robust power and subcarrier allocation algorithm for cognitive network based on interference efficiency maximization
- 通信学报 2020年41卷第1期页码：84-93
- 作者机构：
  
  1. 重庆邮电大学通信与信息工程学院，重庆 400065
  2. 山东大学山东省移动通信技术重点实验室，山东济南 250100
- 作者简介：
  
  [ "徐勇军（1986- ），男，湖北赤壁人，博士，重庆邮电大学副教授、硕士生导师，主要研究方向为认知无线电、异构无线网络传输技术等" ]
  [ "杨洋（1994- ），男，重庆人，重庆邮电大学硕士生，主要研究方向为异构无线网络、稳健资源分配和无线携能技术等" ]
  [ "刘期烈（1974- ），男，四川隆昌人，博士，重庆邮电大学教授、硕士生导师，主要研究方向为无线传感器网络、无线Mesh网络、卫星通信、车载网络、UWB室内定位、大数据等" ]
  [ "陈前斌（1967- ），男，四川南充人，博士，重庆邮电大学教授、博士生导师，主要研究方向为无线通信与网络" ]
  [ "林金朝（1966- ），男，四川蓬溪人，博士，重庆邮电大学教授、博士生导师，主要研究方向为无线通信传输技术、BAN 与信息处理技术等" ]
- 基金信息：
  
  国家自然科学基金资助项目(61601071);国家自然科学基金资助项目(61671091);重庆市教委科学技术研究计划基金资助项目(KJQN201800606);重庆市教委科学技术研究计划基金资助项目(KJZD-K201900605);山东大学山东省无线通信技术重点实验室开放课题基金资助项目(SDKLWCT-2019-04);重庆市科技创新领军人才基金资助项目(CSTCCXLJRC201908);重庆市自然基金重点资助项目(2019jcyj-zdxmX0008)
- DOI：10.11959/j.issn.1000-436x.2020007
  中图分类号： TN918.82
- 网络出版日期：2020-01，
  
  纸质出版日期：2020-01-25
- 稿件说明：
移动端阅览
徐勇军, 杨洋, 刘期烈, 等. 认知网络干扰效率最大稳健功率与子载波分配算法[J]. 通信学报, 2020,41(1):84-93.

Yongjun XU, Yang YANG, Qilie LIU, et al. Robust power and subcarrier allocation algorithm for cognitive network based on interference efficiency maximization[J]. Journal on communications, 2020, 41(1): 84-93.
徐勇军, 杨洋, 刘期烈, 等. 认知网络干扰效率最大稳健功率与子载波分配算法[J]. 通信学报, 2020,41(1):84-93. DOI： 10.11959/j.issn.1000-436x.2020007.

Yongjun XU, Yang YANG, Qilie LIU, et al. Robust power and subcarrier allocation algorithm for cognitive network based on interference efficiency maximization[J]. Journal on communications, 2020, 41(1): 84-93. DOI： 10.11959/j.issn.1000-436x.2020007.

摘要

针对认知正交频分多址接入（OFDMA）上行通信系统，提出了一种基于干扰效率最大的稳健功率与子载波分配算法。首先，考虑主用户干扰约束、次用户发射功率约束、子载波分配约束和次用户最小速率约束，建立基于中断概率的稳健资源优化模型。然后，利用伯恩斯坦近似和Dinkelbach法，将原基于中断概率的非凸问题转换成等价凸优化问题，并利用拉格朗日对偶函数法求得解析解。同时，分析了算法的计算复杂度和稳健灵敏度。仿真结果表明，所提算法具有较好的干扰效率和稳健性。

Abstract

For the cognitive OFDMA uplink communication system

a robust power and subcarrier allocation algorithm based on maximum interference efficiency was proposed.Firstly

considering primary user interference constraint

secondary user transmit power constraint

subcarrier allocation constraint and secondary user minimum rate constraint

a robust resource optimization model based on outage probability was established.Then

by using Bernstein approximation and Dinkelbach’s method

the original non-convex problem based on outage probability was transformed into an equivalent convex optimization one

and the analytical solution was obtained by Lagrangian dual function method.Meanwhile

the computational complexity and robust sensitivity of the algorithm were analyzed.The simulation results show that the proposed algorithm has better interference efficiency and robustness.

关键词

Keywords

references

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