Nothing Special   »   [go: up one dir, main page]

×
Please click here if you are not redirected within a few seconds.
In this paper, we discuss a system requiring control of arrivals and model it as a Markov Decision Process (MDP) and introduce a simulator developed for this ...
Simulation of controlled queuing systems and its application to optimal resource management in multiservice cellular networks ; ISSN (Electronic): 1678-4804.
We also introduce the simulator developed for controlled queuing systems. Most importantly, we demonstrate that Markov decision processes are well suited to ...
Bibliographic details on Simulation of controlled queuing systems and its application to optimal resource management in multiservice cellular networks.
Jinsung Choi, John A. Silvester: Simulation of controlled queuing systems and its application to optimal resource management in multiservice cellular networks.
Simulation of controlled queuing systems and its application to optimal resource management in multiservice cellular networks · Jinsung ChoiJ. Silvester.
This paper proposes the application of Reinforcement Learning in an Agent-Based Simulation model to enable agents to define the necessary interaction rules.
Apr 17, 2024 · In this article, we present a new queuing network model for the analysis of a portion of a radio access network (RAN) comprising macro cell base stations (BSs) ...
Simulation of controlled queuing systems and its application to optimal resource management in multiservice cellular networks · Choi, Jinsung;Silvester, J. A. ...
Queueing Systems: Theory and Applications (QUESTA) focuses on queueing theory and its applications in resource sharing dynamics.
Missing: multiservice cellular