Robust power control for underlay cognitive radio networks under probabilistic quality of service and interference constraints

In cognitive radio networks, conventional power control algorithms (PCAs) based on instantaneous perfect channel gain may lead to performance degradation in practical systems, since channel uncertainties are inevitable because of quantisation errors and estimation errors. As a result, robustness of...

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Veröffentlicht in:	IET communications Jg. 8; H. 18; S. 3333 - 3340
Hauptverfasser:	Xu, Yongjun, Zhao, Xiaohui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 18.12.2014
Schlagworte:	adaptive estimation adaptive estimation scheme Algorithms Channels cognitive radio covariance matrices covariance matrix deterministic distribution model distribution‐free method Errors estimation error Gaussian channels Gaussian distribution instantaneous perfect channel gain Interference interior‐point method minimax probability machine minimax techniques Networks PCA Power control probabilistic interference constraint Probabilistic methods probability Probability theory quality of service quantisation error radiofrequency interference robust power control algorithm second order cone programming problem signal‐to‐interference‐and‐noise ratio constraint telecommunication control underlay cognitive radio network wireless channels
ISSN:	1751-8628, 1751-8636
Online-Zugang:	Volltext
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