A novel centralized network for sensing spectrum in cognitive radio

Hongjian Sun, D. I. Laurenson, J. S. Thompson, Cheng Xiang Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)


Spectrum sensing plays a paramount role in cognitive radio (CR), which is widely agreed to be the most promising method for alleviating the symptom of RF spectral scarcity. In this paper, we first analyze the effects of multipath/shadowing on a CR system. Furthermore, we build models for the primary user system and the CR user system seperately. For the former model, we develop the Possible Conversation Zone to represent the CR cooperative detectable zone. For the latter model, we construct a novel centralized network, called the Spider-Net Sensing Network (SNSN), to implement controllable sensing resolution and reliable sensing while avoiding harmful interference from other CR users. Finally, the numerical results show that our proposed SNSN outperforms one without a grid structure using the same combining scheme. ©2008 IEEE.

Original languageEnglish
Title of host publicationICC 2008 - IEEE International Conference on Communications, Proceedings
Number of pages5
Publication statusPublished - 2008
Event2008 IEEE International Conference on Communications - Beijing, China
Duration: 19 May 200823 May 2008


Conference2008 IEEE International Conference on Communications
Abbreviated titleICC 2008


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