End-to-end link power control in optical networks using Nash bargaining solution

Authors:
Quanyan Zhu;Lacra Pavel
Affiliations:
University of Toronto, Toronto, Canada;University of Toronto, Toronto, Canada
Venue:
Proceedings of the 2nd international conference on Performance evaluation methodologies and tools
Year:
2007

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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.