IEEE Spectrum
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
A measurement-based model for dynamic spectrum access in WLAN channels
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Optimizing Expected Time Utility in Cyber-Physical Systems Schedulers
RTSS '10 Proceedings of the 2010 31st IEEE Real-Time Systems Symposium
An MDP-based admission control for a QoS-aware service-oriented system
Proceedings of the Nineteenth International Workshop on Quality of Service
Towards More Effective Spectrum Use Based on Memory Allocation Models
COMPSAC '11 Proceedings of the 2011 IEEE 35th Annual Computer Software and Applications Conference
Simulation models for the performance evaluation of spectrum sharing techniques in OFDMA networks
Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
An MDP-based recommender system
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework
IEEE Journal on Selected Areas in Communications
Towards trustworthy simulation of wireless MAC/PHY layers: a comparison framework
Proceedings of the 15th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
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The stochastic nature of wireless communication suggests a Markov Decision Process (MDP) as a formalism for identifying and evaluating spectrum control policies. However, in practice numerous factors influence the success or failure of a transmission, so that the applicability of particular MDP models to real spectrum management problems must itself be examined. This paper presents a series of model validation studies in which correspondence between an MDP model and a discrete-event simulation (DES) model is evaluated. We test several hypotheses that together provide a foundation and an exemplar for the idea of using MDPs to guide management of shared spectrum. We conclude that there is sufficient similarity between the performance predictions made by the MDP model and the DES model that MDPs can be used effectively to determine spectrum control policies.