基于跨层的认知无线电绿色网络关键技术综述

王娇; 赵军辉; 杜家娇

doi:10.3969/j.issn.1000-0801.2014.03.021

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基于跨层的认知无线电绿色网络关键技术综述

综述 | 更新时间：2024-06-05

- 基于跨层的认知无线电绿色网络关键技术综述
- Survey on Cognitive Radio Green Network with Cross-Layer Technology
- 电信科学 2014年30卷第3期页码：114-119
- 作者机构：
  
  1. 北京交通大学电子信息工程学院北京 100044
  2. 北京交通大学轨道交通控制与安全国家重点实验室北京 100044
- 作者简介：
  
  [ "王娇，女，北京交通大学电子信息工程学院硕士生，主要研究方向为认知无线电技术、室内定位技术以及认知网络等。" ]
  [ "赵军辉，男，博士，北京交通大学电子信息工程学院教授，主要研究方向为无线和移动通信（MIMO、OFDM、CDMA、合作通信、中继和认知无线电）、射频识别（定位技术、防碰撞技术和安全协议）和应用开发（停车场管理系统、嵌入式车载防盗系统和GPS导航系统开发）等。" ]
  [ "杜家娇，女，北京交通大学电子信息工程学院硕士生，主要研究方向为协作中继通信技术等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61172073);教育部新世纪优秀人才支持计划基金资助项目(NCET-12-0766);中央高校基本科研业务费专项资金资助项目(2013JBZ01);轨道交通控制与安全国家重点实验室（北京交通大学）自主研究课题(RCS2011ZT003)
- DOI：10.3969/j.issn.1000-0801.2014.03.021
  中图分类号：
- 网络出版日期：2014-03，
  
  纸质出版日期：2014-03-20
- 稿件说明：
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王娇, 赵军辉, 杜家娇. 基于跨层的认知无线电绿色网络关键技术综述[J]. 电信科学, 2014,30(3):114-119.

Jiao Wang, Junhui Zhao, Jiajiao Du. Survey on Cognitive Radio Green Network with Cross-Layer Technology[J]. Telecommunications science, 2014, 30(3): 114-119.
王娇, 赵军辉, 杜家娇. 基于跨层的认知无线电绿色网络关键技术综述[J]. 电信科学, 2014,30(3):114-119. DOI： 10.3969/j.issn.1000-0801.2014.03.021.

Jiao Wang, Junhui Zhao, Jiajiao Du. Survey on Cognitive Radio Green Network with Cross-Layer Technology[J]. Telecommunications science, 2014, 30(3): 114-119. DOI： 10.3969/j.issn.1000-0801.2014.03.021.

摘要

探讨了跨层的认知无线电技术在绿色网络中的应用，绿色网络以节能为目标，收集和讨论了将认知无线电的各种跨层技术应用于绿色网络的关键技术。首先，讨论了认知无线电绿色网络跨层的方法，从频谱架构、跨层结构两方面分别展开；其次，对多种认知无线电跨层方案，以节能为目标做出对比；最后，为绿色网络的认知无线电跨层技术相关开放性问题提出一定见解，以期为今后设计绿色网络跨层架构提供指导方案。

Abstract

Applications of the cognitive radio technology based on cross-layer in green networks with the aim of saving energy were explored. A variety of key technologies on cognitive radio based on cross-layer protocol in green network were collected and discussed. First

the spectrum of architecture and cross-layer structure on cognitive radio network were discussed; second

a large number of cognitive radio cross-layer solutions were discussed to make energy-saving target contrast; third

the key challenges were pointed out and possible solutions for cross-layer cognitive radio technology in green network were provided.

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Keywords

references

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