Spectrum Sensing Based Interference Estimation in Cognitive Radio Networks
Cognitive radio (CR) is proposed as a promising solution to resolve the spectrum resource scarcity. The premise to implement CR is not to introduce harmful interference to the licensed users (LU). This constraint makes interference estimation becoming very important. In this paper, we perform a quantitative analysis of the aggregation interference at the LU’s receiver. We develop two multi-cell models for interference estimation based on spectrum sensing. A comprehensive analysis about the distribution of the aggregation interference is given by taking account of the architecture of multi-cells, sensing sensitivity, the distribution of the cognitive radios, and the underlying propagation environment. Numerical results validate the analysis.
Wei Chen Jun Wang Shaoqian Li
National Key Laboratory of Communication University of Electronic Science and Technology of China
国际会议
2009国际通信电路与系统学术会议(ICCCAS 2009)(2009 International Conference on Communications，Circuits and Systems)
成都
英文
231-235
2009-07-23（万方平台首次上网日期，不代表论文的发表时间）