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Channel state prediction in cognitive radio, Part II: Single-user prediction

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4 Author(s)
Zhe Chen ; Dept. of Electr. & Comput. Eng., Tennessee Technol. Univ., Cookeville, TN, USA ; Nan Guo ; Zhen Hu ; Qiu, R.C.

Response delay problem and measurements of such delays have been reported in Part I. The response delay has a negative impact on the accuracy of spectrum sensing, which is the cornerstone of cognitive radio. In this paper, single-user prediction of channel state is proposed to minimize the negative impact of response delays caused by hardware platforms. Specifically, a modified hidden Markov model (HMM) based single-secondary-user (single-SU) prediction is proposed and examined. In order to have convincing performance evaluation results, real-world Wi-Fi signals are employed to test the proposed approach, where the Wi-Fi signals are recorded at four different locations simultaneously. Experimental results show that the proposed single-SU prediction outperforms the 1-nearest neighbor (1-NN) prediction which uses a detected current state as an estimate of future states. This work is a part of the effort toward building a cognitive radio network testbed.

Published in:

Southeastcon, 2011 Proceedings of IEEE

Date of Conference:

17-20 March 2011

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