Leader selection in cooperative network based on MDL subspace algorithm for cognitive radio

Leader selection in cooperative network based on MDL subspace algorithm for cognitive radio

This paper presents a simple and robust algorithm for determining a leader node in a cooperative network based on MDL (Minimum Description Length) subspace algorithm. The algorithm aims to improve the performance of the cooperating network in a spectrum sensing problem for cognitive radio. The outli...

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Bibliographic Details
Published in:2016 50th Asilomar Conference on Signals, Systems and Computers pp. 704 - 708
Main Authors: Ulp, Sander, Trump, Tonu
Format: Conference Proceeding
Language:English
Published: IEEE 01-11-2016
Subjects:
Cognitive radio
Cooperative systems
Correlation
Covariance matrices
Network topology
Signal to noise ratio
Topology
Online Access:Get full text
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Summary:This paper presents a simple and robust algorithm for determining a leader node in a cooperative network based on MDL (Minimum Description Length) subspace algorithm. The algorithm aims to improve the performance of the cooperating network in a spectrum sensing problem for cognitive radio. The outline of the communication and selection process is described and the SNR (signal to noise ratio) estimation algorithm is given. Simulation results show that the algorithm outperforms the non-cooperating network and a cooperating diffusion network with uniform combination weights.
DOI:10.1109/ACSSC.2016.7869136