A Statistical Weighting Average Approach for Cognitive Radio Networks

被引：0
|
作者：
Zhang, Wensheng [1 ]
Xin, Dongdong [1 ]
Xiong, Hailiang [1 ]
Zhu, Weihong [1 ]
Qiu, Jin [2 ]
Wang, Cheng-Xiang [1 ,3 ]
机构：
[1] Shandong Unviers, Shandong Prov Key Lab Wireless Commun Technol, Sch Informat Sci & Engn, Jinan 250100, Shandong, Peoples R China
[2] Shandong Vocat Coll Light Ind, Zibo, Shandong, Peoples R China
[3] Heriot Watt Univ, Sch Engn & Phys Sci, Inst Sensors Signals & Syst, Edinburgh EH14 4AS, Midlothian, Scotland
来源：
2016 19TH INTERNATIONAL SYMPOSIUM ON WIRELESS PERSONAL MULTIMEDIA COMMUNICATIONS (WPMC) | 2016年
基金：
中国博士后科学基金; 中国国家自然科学基金; 英国工程与自然科学研究理事会;
关键词：
CRNs; spectrum sensing; statistical weighting average; weighting factor; ordered weighted average; weighted ordered weighted average;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a statistical weighting average (SWA) approach is proposed for cooperative spectrum sensing (CSS) system in Cognitive Radio Networks (CRNs). Two SWA algorithms, including ordered weighted average (OWA) and weighted ordered weighted average (WOWA), are initially designed in CRNs. In a weighting process, the final weighting factor (WF) for a distributed sensor is jointly determined by its previous sensing contributions and its currently gathered primary user (PU) samples. The WF is initially calculated by the sensing contributions, which are numerically calibrated by probability of detection. The gathered PU samples are used to further adjust the corresponding WF. Simulation results show that the proposed SWA approach can outperform the conventional weighting schemes.
引用
收藏
页数：5
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