Spatial Throughput Analysis and Transmission Strategy Design in Energy Harvesting Cognitive Radio Networks

2018 ◽  
Vol 66 (12) ◽  
pp. 5938-5951 ◽  
Author(s):  
Xiao Yang ◽  
Min Sheng ◽  
Hongguang Sun ◽  
Xijun Wang ◽  
Jiandong Li
Keyword(s):  
Cognitive Radio ◽  
Energy Harvesting ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Throughput Analysis ◽  
Transmission Strategy ◽  
Strategy Design

Nonparametric Bayesian Prediction of Primary Users' Air Traffics in Cognitive Radio Networks

2015 ◽  
pp. 770-791
Author(s):  
Ju Bin Song ◽  
Zhu Han
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Feature Space ◽  
Gaussian Mixture ◽  
Radio Networks ◽  
Air Traffic ◽  
Traffic Patterns ◽  
Nonparametric Bayesian ◽  
Transmission Strategy ◽  
Primary Users

In cognitive radio networks a secondary user needs to estimate the primary users' air traffic patterns so as to optimize its transmission strategy. In this chapter, the authors describe a nonparametric Bayesian method for identifying traffic applications, since the traffic applications have their own distinctive air traffic patterns. In the proposed algorithm, the collapsed Gibbs sampler is applied to cluster the air traffic applications using the infinite Gaussian mixture model over the feature space of the packet length, the packet inter-arrival time, and the variance of packet lengths. The authors analyze the effectiveness of their proposed technique by extensive simulation using the measured data obtained from the WiMax networks.

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