采用空时分组编码的动态分组加权合作频谱感知方案

王兵 1; 2; 白智全 1; 董培浩 1; 高深 1; 高鹏 1

doi:10.7652/xjtuxb201408005

您当前的位置：

首页 >

文章列表页 >

采用空时分组编码的动态分组加权合作频谱感知方案

更新时间：2025-07-09

- 采用空时分组编码的动态分组加权合作频谱感知方案
- A Spectrum Sensing Scheme with Weighted Collaboration of Dynamical Clustering Using Space-Time Block Code
- 西安交通大学学报 2014年48卷第8期页码：23-28+66
- 作者机构：
  
  1. 山东大学信息科学与工程学院,济南,250100
  2. 四川理工学院企业信息化与物联网测控技术四川省高校重点实验室,四川,自贡,643000
- 作者简介：
- 基金信息：
  
  : 2014-01-06。作者简介: 王兵(1986—),男,硕士生;白智全(通信作者),男,副教授。基金项目: 国家自然科学基金资助项目(61301147,61072040);四川省高校重点实验室开放基金资助项目(2013WYJ02);山东省泰山学者计划基金资助项目(10000084961028);山东省优秀中青年科学家奖励基金资助项目(2012BSE27052)
- DOI：10.7652/xjtuxb201408005
  中图分类号： TN92
- 网络首发：2014-08-10，
  
  纸质出版：2014
- 稿件说明：
移动端阅览
王兵 1, 2, 白智全 1, 等. 采用空时分组编码的动态分组加权合作频谱感知方案[J]. 西安交通大学学报, 2014,48(8):23-28+66.

A Spectrum Sensing Scheme with Weighted Collaboration of Dynamical Clustering Using Space-Time Block Code[J]. 2014, 48(8): 23-28+66.
王兵 1, 2, 白智全 1, 等. 采用空时分组编码的动态分组加权合作频谱感知方案[J]. 西安交通大学学报, 2014,48(8):23-28+66. DOI： 10.7652/xjtuxb201408005.

A Spectrum Sensing Scheme with Weighted Collaboration of Dynamical Clustering Using Space-Time Block Code[J]. 2014, 48(8): 23-28+66. DOI： 10.7652/xjtuxb201408005.

摘要

针对认知无线电网络中存在的非理想反馈信道与用户间信道使合作频谱感知算法难以有效提高频谱检测性能的问题

提出了一种基于空时分组编码的动态分组加权合作频谱感知(DC-WCSS)方案。首先将所有未分组认知用户中具有最高用户间信道平均信噪比的两个用户分为一组

并依此将剩余用户进行两两分组

然后根据各认知用户检测结果对系统检测性能的贡献对认知用户进行加权

赋予不同权重

最后采用空时分组编码(STBC)方案将用户检测结果传输给基站进行判决。DC-WCSS方案可依据用户间信道平均信噪比进行动态分组

并根据认知用户检测结果的可靠性设置用户权重

能有效降低反馈阶段的误码率

从而提高系统检测性能。仿真结果表明

与基于传输分集的合作频谱感知方案相比

在虚警概率为0.3时

DC-WCSS方案的一次加权和二次加权后的系统检测概率可分别提升至少20%和30%。

Abstract

A dynamical clustering based weighted collaborative spectrum sensing(DC-WCSS)scheme with space-time block code is proposed to solve the problem that the traditional collaborative spectrum sensing cannot improve the detection performance of the spectrum sensing efficiently caused by the non-ideal reporting channel and inter-user channel in cognitive radio networks. At first

the proposed scheme groups the two secondary users with the highest average signal-to-noise ratio(SNR)of the inter-user channel into a cluster and the remaining users are grouped into clusters in the same way. Then

the weighted factors are assigned to the secondary users according to the contributions of their detection results to the system detection performance. Finally

the space-time block code is adopted in each cluster to enhance the resulting transmission. Since the design of the dynamical clusters based on average SNRs of the inter-user channels and the allocation of the weighted factors to the secondary users take the reliability of the users' detection results into account

the DC-WCSS scheme can decrease the bit error rate of the reporting channels and improve the system detection performance. Simulation results show that the DC-WCSS outperforms the transmit diversity based on collaborative spectrum sensing scheme and its first-weighted scheme and second-weighted scheme can get at least 20% and 30% increase in the system sensing performance

respectively

when the false alarm probability is 0.3.

关键词

Keywords

references

ZHANG W, MALLIK R K, LETAIEF K. Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks[J]. IEEE Transactions on Wireless Communications, 2009, 8(12): 5761-5766.

孙剑锋, 高锦春, 刘元安, 等. 基于频谱感知结果的认知无线电用户分簇方法[J]. 电子与信息学报, 2012, 34(4): 782-786.

SUN Jianfeng, GAO Jinchun, LIU Yuan'an, et al. Clustering method for cognitive radio user based on the results of spectrum sensing[J]. Journal of Electronics and Information Technology, 2012, 34(4): 782-786.

WANG Y, FENG C, ZENG Z, et al. A robust and energy efficient cooperative spectrum sensing scheme in cognitive radio networks[C]∥ 11th International Conference on Advanced Communication Technology.Piscataway, NJ, USA: IEEE, 2009: 640-645.

ZHANG W, LETAIEF K B. Cooperative spectrum sensing with transmit and relay diversity in cognitive radio networks[J]. IEEE Transactions on Wireless Communications, 2008, 7(12): 4761-4766.

LETAIEF K B, ZHANG W. Cooperative communications for cognitive radio networks[J]. Proceedings of the IEEE, 2009, 97(5): 878-893.

白智全, 王丽, 梁兴燕, 等. 基于STBC方案的鲁棒性协作频谱感知技术[J]. 北京理工大学学报, 2013, 33(9): 38-42.

BAI Zhiquan, WANG Li, LIANG Xingyan, et al. Robust cooperative spectrum sensing based on STBC scheme[J]. Transactions of Beijing Institute of Technology, 2013, 33(9): 38-42.

索小平. 认知无线电中基于簇的二次加权合作频谱检测算法研究[D]. 成都: 西南交通大学, 2011.

HUANG X, HAN N, ZHENG G, et al. Weighted collaborative spectrum sensing in cognitive radio[C]∥ Proceedings of International Conference on Communi-cations and Networking in China. Piscataway, NJ, USA: IEEE, 2007, 110-114.

LEE J, KIM Y, SOHN S, et al. Weighted-cooperative spectrum sensing scheme using clustering in cognitive radio systems[C]∥ Proceedings of International Conference on Advanced Communication Technology. Piscataway, NJ, USA: IEEE, 2008: 786-790.

LIANG Xingyan, BAI Zhiquan, GONG Peng, et al. Weighted collaborative spectrum sensing with different sensing durations[C]∥ Proceedings of International Symposium on Communications and Information Technologies. Piscataway, NJ, USA: IEEE, 2012, 268-273.

HERATH S P, RAJATHEVA N, TELLAMBURA C. Energy detection of unknown signals in fading and diversity reception[J]. IEEE Transactions on Communications, 2011, 59(9): 2443-2453.

ATAPATTU S, TELLAMBURA C, JIANG H. Energy detection based cooperative spectrum sensing in cognitive radio networks[J]. IEEE Transactions on Wireless Communications, 2011, 10(4): 1232-1241.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

低信噪比下采用广义随机共振的能量检测算法

采用分组数据的序贯频谱感知方法

一种异步的认知无线电网络跳频算法

利用频谱峰值特征的窄带频谱感知方法

能效优先的鲁棒功率控制算法