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A Differential Data Reporting Scheme for Cooperative Spectrum Sensing

Jinghui Wang, Liang Jin


Sharing local sensing data with the fusion center (FC) incurs reporting overhead, and is an important issue in cooperative spectrum sensing (CSS). In order to reduce the average number of reporting bits and thus the overhead, we propose a novel data reporting scheme in this paper. The proposed scheme, known as Differential Data Reporting (DDR) scheme, decides whether a local decision is informative from the viewpoint of transmission and limits the reporting of redundant decision. The sensing performance and reporting overhead for both perfect and imperfect reporting channels are investigated. As shown by numerical results, DDR reduces the reporting overhead significantly, especially when the primary user (PU) traffic changes slowly compared to the sensing period.


Cognitive radio, cooperative spectrum sensing, data reporting, decision fusion.

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