A radio environment map construction scheme with hidden Markov Model based spectrum occupancy prediction

A radio environment map (REM) construction scheme with hidden Markov model (HMM) based spectrum occupancy prediction is presented in this paper. The predicted spectrum occupancy state can be shown visually in the REM, which is used to find the opportunity to access a certain channel. Firstly, the HMM is studied to predict the spectrum occupancy state at the future time in a unsupervised manner. Secondly, according to the predicted result from the HMM, we construct the REM by the extrapolation method based on wireless propagation loss models to reflect the potential spectrum occupancy status and make a decision on accessing the channel or not. Simulation results show that the proposed scheme has a good prediction performance and the constructed REM is helpful for the secondary user to access the desired channel.

[1]  A. Prasad Sistla,et al.  Distinguishing Hidden Markov Chains * , 2015, 2016 31st Annual ACM/IEEE Symposium on Logic in Computer Science (LICS).

[2]  Piotr Cholda Book reviews [4 books reviewed] , 2013, IEEE Communications Magazine.

[3]  Takeo Fujii,et al.  Kriging-Based Interference Power Constraint: Integrated Design of the Radio Environment Map and Transmission Power , 2017, IEEE Transactions on Cognitive Communications and Networking.

[4]  Thao T. Nguyen,et al.  Hidden Markov model based spectrum sensing for cognitive radio , 2013 .

[5]  Marko Höyhtyä,et al.  Spectrum Occupancy Measurements: A Survey and Use of Interference Maps , 2016, IEEE Communications Surveys & Tutorials.

[6]  Mainak Chatterjee,et al.  Spectrum Map and Its Application in Resource Management in Cognitive Radio Networks , 2015, IEEE Transactions on Cognitive Communications and Networking.

[7]  Brian L. Mark,et al.  Spectrum Sensing Using a Hidden Bivariate Markov Model , 2013, IEEE Transactions on Wireless Communications.

[8]  J. Amudhavel,et al.  A Hidden Markov Model for Fault Tolerant Communication in VANETS , 2015, ICARCSET '15.

[9]  Tuna Tugcu,et al.  Radio environment map as enabler for practical cognitive radio networks , 2013, IEEE Communications Magazine.