Research Article
Stochastic Loss Aversion for Random Medium Access
374 downloads
@INPROCEEDINGS{10.1007/978-3-642-35582-0_18, author={George Kesidis and Youngmi Jin}, title={Stochastic Loss Aversion for Random Medium Access}, proceedings={Game Theory for Networks. Third International ICST Conference, GameNets 2012, Vancouver, BC, Canada, May 24-26, 2012, Revised Selected Papers}, proceedings_a={GAMENETS}, year={2012}, month={12}, keywords={ALOHA MAC Pareto equilibria diffusion machine}, doi={10.1007/978-3-642-35582-0_18} }
- George Kesidis
Youngmi Jin
Year: 2012
Stochastic Loss Aversion for Random Medium Access
GAMENETS
Springer
DOI: 10.1007/978-3-642-35582-0_18
Abstract
We consider a slotted-ALOHA LAN with loss-averse, noncooperative greedy users. To avoid non-Pareto equilibria, particularly deadlock, we assume probabilistic loss-averse behavior. This behavior is modeled as a modulated white noise term, in addition to the greedy term, creating a diffusion process modeling the game. We observe that when player’s modulate with their throughput, a more efficient exploration of play-space (by Gibbs sampling) results, and so finding a Pareto equilibrium is more likely over a given interval of time.
Copyright © 2012–2024 ICST