Cognitive radio ultra-wideband channel allocation based on sparse channel model

Lei Shi; Zheng Zhou; Xuan Sun; Yingjie Ma

6th International ICST Conference on Communications and Networking in China

Research Article

Cognitive radio ultra-wideband channel allocation based on sparse channel model

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/ChinaCom.2011.6158297,
    author={Lei Shi and Zheng Zhou and Xuan Sun and Yingjie Ma},
    title={Cognitive radio ultra-wideband channel allocation based on sparse channel model},
    proceedings={6th International ICST Conference on Communications and Networking in China},
    publisher={IEEE},
    proceedings_a={CHINACOM},
    year={2012},
    month={3},
    keywords={Channel allocation  Cognitive Radio Ultra-Wideband  Compressed Sensing  Graphical model},
    doi={10.1109/ChinaCom.2011.6158297}
}

Lei Shi
Zheng Zhou
Xuan Sun
Yingjie Ma
Year: 2012
Cognitive radio ultra-wideband channel allocation based on sparse channel model
CHINACOM
IEEE
DOI: 10.1109/ChinaCom.2011.6158297

Lei Shi¹^,*, Zheng Zhou¹^,*, Xuan Sun¹^,*, Yingjie Ma¹^,*

1: BUPT

*Contact email: shileichris@gmail.com, zzhou@bupt.edu.cn, sunxuanbupt@gmail.com, dmzm12@163.com

Abstract

In this paper, we propose a channel allocation approach based on sparse channel model and channel state reconstructed by compressed sensing. The graphical model is proposed based on the sparse property of the primary users and resolved by the min-sum algorithm. Simulation results show that the proposed algorithm can convert channel allocation problem to physical distance and frequency-domain distance optimization problem. The channel allocation scheme which minimizes the interference power at primary users can be quickly calculated.

Keywords: Channel allocation Cognitive Radio Ultra-Wideband Compressed Sensing Graphical model

Published: 2012-03-27
Publisher: IEEE

: http://dx.doi.org/10.1109/ChinaCom.2011.6158297