Channel State Prediction in Cognitive Radio, Part II: Single-User Prediction
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.