Parameters Optimization of Cognitive Network Based on Artificial Physics Multi-Objective Algorithm

CHAI Zheng-yi; WANG Bing; LI Ya-lun; ZHU Si-feng; WANG Ying-feng

doi:10.3969/j.issn.0372-2112.2015.08.009

您当前的位置：

首页 >

文章列表页 >

Parameters Optimization of Cognitive Network Based on Artificial Physics Multi-Objective Algorithm

更新时间：2025-07-16

- Parameters Optimization of Cognitive Network Based on Artificial Physics Multi-Objective Algorithm
- Acta Electronica Sinica Vol. 43, Issue 8, Pages: 1526-1530(2015)
- 作者机构：
  
  1. 天津工业大学计算机科学与软件学院,天津,300384
  2. 河南交通职业技术学院航运海事系,河南,郑州,450005
  3. 泛网无线通信教育部重点实验室(北京邮电大学),北京,100876
  4. 周口师范学院数学与统计学院,河南,周口,466001
  5. 河南财经政法大学计算机与信息工程学院,河南,郑州,450000
  6. 天津工业大学计算机科学与软件学院,天津,300384
  7. 河南交通职业技术学院航运海事系,河南,郑州,450005
  8. 泛网无线通信教育部重点实验室(北京邮电大学),北京,100876
  9. 周口师范学院数学与统计学院,河南,周口,466001
  10. 河南财经政法大学计算机与信息工程学院,河南,郑州,450000
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2015.08.009
  CLC： TN929.5
- Published：2015
- 稿件说明：
移动端阅览
CHAI Zheng-yi, WANG Bing, LI Ya-lun, et al. Parameters Optimization of Cognitive Network Based on Artificial Physics Multi-Objective Algorithm[J]. Acta Electronica Sinica, 2015, 43(8): 1526-1530.
DOI：

CHAI Zheng-yi, WANG Bing, LI Ya-lun, et al. Parameters Optimization of Cognitive Network Based on Artificial Physics Multi-Objective Algorithm[J]. Acta Electronica Sinica, 2015, 43(8): 1526-1530. DOI： 10.3969/j.issn.0372-2112.2015.08.009.

摘要

针对认知无线网络中的引擎参数调整问题

提出了一种基于拟态物理学多目标优化的求解算法.根据认知参数编码的二进制特点

设计了基于海明距离的个体排序方法

并改进了微粒的更新方程

最后求出问题的Pareto最优解集.多载波环境下的仿真实验表明

算法可以根据无线信道环境的动态变化和认知用户需求的不同需求

自适应调整各个子载波的调制方式和发射功率

满足参数优化需求.

Abstract

To solve the engine parameter adjustment problem of cognitive radio networks

an artificial physics multi-objective optimization algorithm was proposed.According to its binary encoded features of cognitive parameters

Hamming distance based individual ranking method was designed and particle updated equation was improved

and finally the Pareto optimal set were achieved.Simulation results show that under the multi-carrier environment

the proposed algorithm can adjust transmission power and modulation mode according to the changing of channel and cognitive user demands.So it meets the demands for parameters optimization.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Comprehensive Causality Multi-Objective Counterfactual Explanation with Feature Selection

Yaw Stability Control of Distributed Drive Electric Vehicle Based on Multi-Objective Parallel Chaos Optimization

Multi-Objective Path Planning Algorithm for WRSN with Time Window

Research on Recombination Operator and Multi-Objective Optimization Based on Fitness Guided Mating Restriction Strategy

A Dual Representation-Based Multi-Objective Evolutionary Algorithm for Overlapping Community Detection

Related Author

LIU Jin-ping

TANG Hao-nan

LI Xing-wang

XU Peng-fei

YUAN Sheng-wei

XIAO Xiang-hui

SONG Yun-hao

SHI Ke

Related Institution

College of Information Science and Engineering, Hunan Normal University

College of Electrical and Information Engineering, Hunan University

Guangdong Provincial Key Laboratory of Industrial Intelligent Inspection Technology

School of Mechatronic Engineering and Automation, Foshan University

Anhui Province Key Laboratory of Industry Safety and Emergency Technology

⁰