Title :
A dynamic threshold computing method based on SOM Neural Network in Frequency Occupancy analysis
Author :
Miao Yang ; Huiling Dai ; Neng Ye
Author_Institution :
Spectrum Manage. & Res. Div., State Radio Monitoring Center, Beijing, China
Abstract :
Spectrum occupancy measurement and analysis is a very important aspect in frequency resource planning by the reason of frequency shortage for the increasing wireless systems. It is also useful in spectrum sensing in the context of cognitive radio, especially in unlicensed band. Given that, a dynamic decision threshold computing method based on SOM Neural Network in spectrum occupancy analysis is proposed in this paper. This method is designed to cluster sample data into different spaces by network self-learning without knowing the statistics of the measurement data. Simulation with pre-set data is given, and the results show the accuracy and the robustness of the proposed method. This dynamic method is validated with the data derived from the spectrum measurements of 806-960 MHz band in Beijing.
Keywords :
cognitive radio; pattern clustering; radio spectrum management; self-organising feature maps; telecommunication computing; Beijing; SOM neural network; cognitive radio; dynamic decision threshold computing method; frequency 806 MHz to 960 MHz; frequency occupancy analysis; frequency resource planning; self-organizing map neural network; spectrum occupancy measurement; spectrum sensing; wireless system; Data Processing; Dynamic Threshold; Occupancy Measurements; SOM Neural Network; Spectrum Sensing;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM 2014), 10th International Conference on
Print_ISBN :
978-1-84919-845-5
DOI :
10.1049/ic.2014.0093
