Joint Congestion Control and Routing Subject to Dynamic Interruptions in Cognitive Radio Networks

Husheng Li; Lijun Qian

7th International Conference on Cognitive Radio Oriented Wireless Networks

Research Article

Joint Congestion Control and Routing Subject to Dynamic Interruptions in Cognitive Radio Networks

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Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/icst.crowncom.2012.248468,
    author={Husheng Li and Lijun Qian},
    title={Joint Congestion Control and Routing Subject to Dynamic Interruptions in Cognitive Radio Networks},
    proceedings={7th International Conference on Cognitive Radio Oriented Wireless Networks},
    publisher={IEEE},
    proceedings_a={CROWNCOM},
    year={2012},
    month={7},
    keywords={cognitive radio routing congestion control},
    doi={10.4108/icst.crowncom.2012.248468}
}

Husheng Li
Lijun Qian
Year: 2012
Joint Congestion Control and Routing Subject to Dynamic Interruptions in Cognitive Radio Networks
CROWNCOM
IEEE
DOI: 10.4108/icst.crowncom.2012.248468

Husheng Li¹, Lijun Qian²^,*

1: University of Tennessee, Knoxville
2: Prairie View A&M University

*Contact email: liqian@pvamu.edu

Abstract

Cognitive radio networks suffer from dynamic interruptions from primary users. The joint congestion control and routing are tackled using stochastic control techniques. Centralized dynamic programming is applied for the primal optimization, which provides a performance upper bound. Q-learning is applied when the primary user knowledge is unknown. Dual optimization based decomposition is used to decentralize the stochastic control. A heuristic scheme based on the limited lookahead policy (LLP) and binary pricing is proposed to tackle the prohibitive difficulty in the dual optimization. Numerical simulation shows that the proposed algorithms achieve the optimal or near-optimal performance.

Keywords: cognitive radio routing congestion control

Published: 2012-07-24
Publisher: IEEE

: http://dx.doi.org/10.4108/icst.crowncom.2012.248468