End-to-End Link Power Control in Optical Networks Using Nash Bargaining Solution

Quanyan Zhu; Lacra Pavel

1st International ICST Workshop on Game theory for Communication networks

Research Article

End-to-End Link Power Control in Optical Networks Using Nash Bargaining Solution

Download684 downloads

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/gamecomm.2007.1921,
    author={Quanyan Zhu and Lacra Pavel},
    title={End-to-End Link Power Control in Optical Networks Using Nash Bargaining Solution},
    proceedings={1st International ICST Workshop on Game theory for Communication networks},
    proceedings_a={GAMECOMM},
    year={2010},
    month={5},
    keywords={Centralized optimization Game Theory Optical Networks Nash Bargaining Solution Power Control},
    doi={10.4108/gamecomm.2007.1921}
}

Quanyan Zhu
Lacra Pavel
Year: 2010
End-to-End Link Power Control in Optical Networks Using Nash Bargaining Solution
GAMECOMM
ICST
DOI: 10.4108/gamecomm.2007.1921

Quanyan Zhu¹^,*, Lacra Pavel¹^,*

1: University of Toronto 10 King’s College Road Toronto, Canada

*Contact email: qzhu@control.utoronto.ca, pavel@control.utoronto.ca

Abstract

An efficient and intelligent resource allocation mechanism is the heart of any communication networks. Based on previous work on non-cooperative game approach and direct centralized optimization, this paper addresses the issue of efficiency and fairness in optical network power control. We use Nash bargaining solution (NBS) to achieve a fair and efficient solution for optical network power control at the end-to-end optical link level. We study different formulations based on Nash bargaining model and characterize their solutions.

Keywords: Centralized optimization Game Theory Optical Networks Nash Bargaining Solution Power Control

Published: 2010-05-16
Modified: 2011-09-15

: http://dx.doi.org/10.4108/gamecomm.2007.1921

End-to-End Link Power Control in Optical Networks Using Nash Bargaining Solution

Abstract

About EAI

Community

Publish with EAI