INTERFERENCE ESTIMATION AND ITS APPLICATIONS IN COGNITIVE RADIO NETWORKS

作     者：Chen Ronghao Chen Wei Wang Jun Li Shaoqian 

作者机构：National key Laboratory of Science and Technology on CommunicationsUniversity of Electronic Science and Technology of ChinaChengdu 61173China 

出 版 物：《Journal of Electronics(China)》 (电子科学学刊（英文版）)

年 卷 期：2010年第27卷第5期

页      面：630-638页

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 

基　　金：Supported by the High-tech Research and Development Program (863 Program) of China (No. 2009AA011801) the National Basic Research Program (973 Program) of China (No. 2009CB320405) the Foundation Project of National Key Laboratory of Science and Technology on Communications (No. 9140C0202061004) the Fundamental Research Funds for the Central Universities (No. ZYGX2009X002) 

主　　题：Cognitive Radio (CR) Spectrum sensing Interference estimation 

摘      要：Cognitive Radio(CR) has been proposed as a system-level means to improve the spectrum utilization *** most significant premise for CR networks is to avoid harmful interference to the licensed ***,it is very important to estimate the potential inter-ference introduced by the deployment of CR networks so that CR networks can be coexistence with Licensed User(LU) networks by designing proper system *** this paper,two statistical models of potential interference due to CR networks are developed based on transmitter and receiver oriented spectrum sensing schemes,*** approximate probability dis-tributions of aggregate interference introduced by CR networks are then derived with respect to the obtained *** the help of these probability distributions,a method is further pre-sented to get the critical system parameter,i.e.,sensing distance and user density of the CR networks,so that the introduced interference can be controlled to predefined *** results validate the proposed interference estimation method and confirm the effectiveness of in-terference distribution based system parameter design.