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Policy-based Channel Sensing Architecture and Algorithms for Cognitive Radio Networks  

Na, Do-Hyun (인하대학교 정보통신대학원 멀티미디어통신망 연구실)
Hao, Nan (인하대학교 정보통신대학원 멀티미디어통신망 연구실)
Yoo, Sang-Jo (인하대학교 정보통신대학원 멀티미디어통신망 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.33, no.7B, 2008 , pp. 538-549 More about this Journal
Abstract
Recently IEEE 802.22 WG has considered Cognitive Radio (CR) technology to overcome shortage of communication channels. For using CR technology, accurate and rapid sensing method selection is extremely important. According to the channel sensing method, it is of the utmost importance because it can affect the incumbent system protection. So, optimum selection of channel sensing method is very important. IEEE 802.22 gives the solution, name of fine sensing, but the solution can not adapt to various networks. So in this paper we propose Policy-based Channel Sensing Architecture and Algorithms for Cognitive Radio Networks. The proposed channel sensing architecture and algorithms can reduce both primary system detection time and quiet time in our simulation. Among the proposed sensing algorithm, channel division round robin sensing reduce average detection time up to 70% compare to fine sensing method in IEEE 802.22.
Keywords
Channel Sensing Architecture; Channel Sensing Algorithms; Policy Decision; Cognitive Radio Networks;
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