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http://dx.doi.org/10.5515/JKIEES.2012.12.1.32

Spectrum Sensing in a Cognitive Body Area Network: Detection of a Bonded Channel in the MICS Band  

Ahn, Chun-Su (Dept. of Electronics Computer Engineering, Hanyang University)
Choi, Jae-Hoon (Dept. of Electronic Engineering, Hanyang University)
Kim, Sun-Woo (Dept. of Electronic Engineering, Hanyang University)
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Abstract
In this paper, we present a novel algorithm for detecting a bonded channel in a cognitive radio network where channel bonding is allowed for a higher data rate. The envelope detection algorithm is proposed to distinguish the center frequency of the received signal in order to determine whether the signal is transmitted by a primary user occupying a single channel or a secondary user occupying more than two channels when the channel is in use.
Keywords
Cognitive Radio; Spectrum Sensing; Channel Bonding; WBAN;
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