Interference estimation and its applications in cognitive radio networks |
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Authors: | Ronghao Chen Wei Chen Jun Wang Shaoqian Li |
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Affiliation: | National key Laboratory of Science and Technology on Communications,University of Electronic Science and Technology of China,Chengdu 61173,China |
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Abstract: | Cognitive Radio (CR) has been proposed as a system-level means to improve the spectrum utilization efficiency. The most significant
premise for CR networks is to avoid harmful interference to the licensed users. Therefore, it is very important to estimate
the potential interference introduced by the deployment of CR networks so that CR networks can be coexistence with Licensed
User (LU) networks by designing proper system parameters. In this paper, two statistical models of potential interference
due to CR networks are developed based on transmitter and receiver oriented spectrum sensing schemes, respectively. The approximate
probability distributions of aggregate interference introduced by CR networks are then derived with respect to the obtained
models. With the help of these probability distributions, a method is further presented 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
level. Numerical results validate the proposed interference estimation method and confirm the effectiveness of interference
distribution based system parameter design. |
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Keywords: | Cognitive Radio (CR) Spectrum sensing Interference estimation |
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