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一种基于能效优先的LT码协作频谱感知结果传输方案

宋晓勤 金慧 谈雅竹 胡静 宋铁成

东南大学学报(英文版)2018,Vol.34Issue(4):444-450,7.
东南大学学报(英文版)2018,Vol.34Issue(4):444-450,7.DOI:10.3969/j.issn.1003-7985.2018.04.005

一种基于能效优先的LT码协作频谱感知结果传输方案

A cooperative spectrum sensing results transmission scheme with LT code based on energy efficiency priority

宋晓勤 1金慧 1谈雅竹 1胡静 2宋铁成2

作者信息

  • 1. 南京航空航天大学电子信息工程学院,南京211106
  • 2. 东南大学信息科学与工程学院,南京210096
  • 折叠

摘要

Abstract

To deal with a sharp increase in transmission energy consumption due to the presence of a large number of secondary users ( SUs ) , an energy-efficient cooperative spectrum sensing results transmission scheme is proposed for cognitive radio systems. First, a cluster-based structure is introduced into the sensing results transmission scheme to reduce the transmission power. Then, the centralized sensing results transmission model is employed, and the non-fixed code rate Luby transform ( LT) code is selected as the channel coding since its code rate can dynamically adapt to channel conditions and therefore avoid unnecessary redundancy in the transmission power. Furthermore, an improved optimal degree distribution ( ODD ) is designed for the LT code. The simulation results show that the choice of the appropriate parameters in degree distribution is very helpful for the LT code to achieve a promising performance. The ODD with optimized parameters can achieve more than 2 dB performance gain than other typical degree distributions when the bit error rate ( BER) is 10-3 . The energy consumption of the proposed scheme is not only at least 71. 4% lower than that of the non-coding system, but also lower than that of the convolutional coding system with different code rates. Meanwhile, the energy consumption can be further reduced in the case that a suitable clustering method is selected.

关键词

协作频谱感知/能效/基于分簇/LT码/度分布

Key words

cooperative spectrum sensing/energy-efficient/cluster-based/Luby transform ( LT) code/degree distribution

分类

信息技术与安全科学

引用本文复制引用

宋晓勤,金慧,谈雅竹,胡静,宋铁成..一种基于能效优先的LT码协作频谱感知结果传输方案[J].东南大学学报(英文版),2018,34(4):444-450,7.

基金项目

The National Natural Science Foundation of China ( No. 61771126) , the Foundation of Graduate Innovation Center in NU-AA ( No. kfjj20170402) . ( No. 61771126)

东南大学学报(英文版)

1003-7985

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