Performance Analysis of Prediction Based Spectrum Sensing for Cognitive Radio Networks

被引：0
|
作者：
DasMahapatra, Suddhendu [1 ]
Patnaik, Sharanya [1 ]
Sharan, Shivendra Nath [2 ]
Gupta, Mitali [1 ]
机构：
[1] Manipal Univ Jaipur, Elect & Commun Engn, Jaipur, Rajasthan, India
[2] NIIT Univ, Elect & Commun Engn, Neemrana, India
来源：
2019 2ND INTERNATIONAL CONFERENCE ON INTELLIGENT COMMUNICATION AND COMPUTATIONAL TECHNIQUES (ICCT) | 2019年
关键词：
spectrum sensing; prediction; neural network; cognitive radio;
D O I：
10.1109/icct46177.2019.8969028
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Cognitive Radio (CR) was anticipated as a solution to the severe concern in wireless communication i.e. scarcity of accessible spectrum. Spectrum sensing is considered to be the most substantial part in CR. Due to the trade-off between spectrum sensing and throughput of the CR network, the licensed users' transmission activity prediction is considered as a potential alternative to spectrum sensing. The present work considers a neural network based multilayer perceptron model to predict the availability of licensed spectrum. Performance of this model is evaluated in different traffic load. Stand-alone prediction model and prediction before sensing model, both are analysed with respect to sensing parameters, false alarm and misdetection probability. MATLAB software is used for simulation.
引用
收藏
页码：271 / 274
页数：4
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