Mean field stochastic games for SINR-based medium access control

Authors:
H. Tembine;P. Vilanova;M. Assaad;M. Debbah
Affiliations:
Ecole Superieure d'Electricite, Supelec;King Abdullah University of Science and Technology, Saudi Arabia;Ecole Superieure d'Electricite, Supelec;Ecole Superieure d'Electricite, Supelec
Venue:
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools
Year:
2011

Citing 5
Cited 1

A class of mean field interaction models for computer and communication systems

Performance Evaluation
Mean field asymptotics of Markov decision evolutionary games and teams

GameNets'09 Proceedings of the First ICST international conference on Game Theory for Networks
Correlated evolutionarily stable strategies in random medium access control

GameNets'09 Proceedings of the First ICST international conference on Game Theory for Networks
On the validity of the fixed point equation and decoupling assumption for analyzing the 802.11 mac protocol

ACM SIGMETRICS Performance Evaluation Review
Distributed Strategic Learning for Wireless Engineers

Distributed Strategic Learning for Wireless Engineers

Large-scale games in large-scale systems

Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we study medium access control with interference management. We formulate a SINR-based dynamic channel access as a stochastic game in which the players adapt their retransmission scheme based on their own back-off state. We analyze the asymptotics of the system using mean field dynamics. Both stable and unstable behaviors are illustrated. Limit cycles elimination and their associated performance losses are discussed.