Game theoretic outage compensation in next generation mobile networks

Authors:
M. Rubaiyat Kibria;Abbas Jamalipour
Affiliations:
School of Electrical and Information Engineering, The University of Sydney, NSW, Australia;School of Electrical and Information Engineering, The University of Sydney, NSW, Australia
Venue:
IEEE Transactions on Wireless Communications
Year:
2009

Citing 4
Cited 0

Prisoner's Dilemma: John Von Neumann, Game Theory and the Puzzle of the Bomb

Prisoner's Dilemma: John Von Neumann, Game Theory and the Puzzle of the Bomb
Radio resource management games in wireless networks: an approach to bandwidth allocation and admission control for polling service in IEEE 802.16 [Radio Resource Management and Protocol Engineering for IEEE 802.16]

IEEE Wireless Communications
Service outage based power and rate allocation

IEEE Transactions on Information Theory
On designing issues of the next generation mobile network

IEEE Network: The Magazine of Global Internetworking

Quantified Score

Hi-index	0.02

Visualization

Abstract

Changes in network dynamics (e.g., link failure, congestion, buffer overflow and so on) may render ubiquitous service access untenable in the Next Generation Mobile Network (NGMN). Since the commercial viability of a network in a competitive market depends on the perceived user satisfaction, to atone for the loss of the guaranteed service access, it is desirable to compensate the users either with future quality-of-service (QoS) enhancements and/or price reductions. Focusing on the price reduction aspect, this paper proposes a non-cooperative game theory based compensation algorithm that derives the best outage compensation (i.e., price reduction for the outage period t) over different service types. Taking into account all-IP based applications in the future, the service types are categorized into different classes such as flat rate based (i.e., cents for the entire session(s)), time based (i.e., cents per minute), volume based (i.e., cents per MB), etc., whereupon the compensation algorithm is translated into an n-player game, based on the current subscription profiles. With step sized cost reductions, the selection of the outage compensation is governed by the Nash equilibrium points and fairly allocates cost reduction among the ongoing service types.