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Channel Set Manager Development and Performance Analysis for Cognitive Radio System  

Park, Chang-Hyun (Broadcasting & Telecommunications Convergence Research Lab., ETRI)
Song, Myung-Sun (Broadcasting & Telecommunications Convergence Research Lab., ETRI)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.45, no.5, 2008 , pp. 8-14 More about this Journal
Abstract
There are two a approaches for the Cognitive Radio(CR) development. One is 'Full CR', which Joseph Mitola III proposed, and another is 'Spectrum CR', which is currently being standardized. The target approach of this paper is the latter and we develop a Cognitive Engine(CE) and simulated a channel set management(CSM), which is a core function of CE. The Channel set management evaluates channel quality and Incumbent User(IU) vacancy possibility and classifies the channel set, which is performed by using channel state history. Especially, a very important function for the channel set management is a channel state prediction and this paper proposed a Hidden Markov Model(HMM) based channel state prediction and a method for increasing performance. Also, we applied the proposed method into our simulator and simulated channel state prediction. Through the simulation, we verified as we applied our proposed scheme, the performance of channel state prediction gets better and through comparing with RS and SS, we verified the HMM based Channel state prediction is better.
Keywords
Cognitive Radio; Hidden Markov Model; Cognitive Engine; Channel State Prediction;
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  • Reference
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