Continuous approximation of collective system behaviour: A tutorial
In this paper we present an overview of the field of deterministic approximation of Markov
processes, both in discrete and continuous times. We will discuss mean field approximation …
processes, both in discrete and continuous times. We will discuss mean field approximation …
Learning mean-field games
This paper presents a general mean-field game (GMFG) framework for simultaneous
learning and decision-making in stochastic games with a large population. It first establishes …
learning and decision-making in stochastic games with a large population. It first establishes …
Voluntary energy harvesting relays and selection in cooperative wireless networks
B Medepally, NB Mehta - IEEE Transactions on Wireless …, 2010 - ieeexplore.ieee.org
The use of energy harvesting (EH) nodes as cooperative relays is a promising and emerging
solution in wireless systems such as wireless sensor networks. It harnesses the spatial …
solution in wireless systems such as wireless sensor networks. It harnesses the spatial …
Scalable load balancing in networked systems: A survey of recent advances
In this survey we provide an overview of recent advances on scalable load balancing
schemes which provide favorable delay performance and yet require minimal …
schemes which provide favorable delay performance and yet require minimal …
Mean field graph based d2d collaboration and offloading pricing in mobile edge computing
X Wang, J Ye, JCS Lui - IEEE/ACM Transactions on …, 2023 - ieeexplore.ieee.org
Mobile edge computing (MEC) facilitates computation offloading to edge server and task
processing via device-to-device (D2D) collaboration. Existing works mainly focus on …
processing via device-to-device (D2D) collaboration. Existing works mainly focus on …
A general framework for learning mean-field games
This paper presents a general mean-field game (GMFG) framework for simultaneous
learning and decision making in stochastic games with a large population. It first establishes …
learning and decision making in stochastic games with a large population. It first establishes …
Dynamic computation offloading in ultra-dense networks based on mean field games
R Zheng, H Wang, M De Mari, M Cui… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In ultra-dense networks, the increasing popularity of computation intensive applications
imposes challenges to the resource-constrained smart mobile devices (SMDs), which may …
imposes challenges to the resource-constrained smart mobile devices (SMDs), which may …
[BOOK][B] Understanding game theory: introduction to the analysis of many agent systems with competition and cooperation
VN Kolokoltsov, OA Malafeyev - 2020 - books.google.com
Steadily growing applications of game theory in modern science (including psychology,
biology and economics) require sources to provide rapid access in both classical tools and …
biology and economics) require sources to provide rapid access in both classical tools and …
Asymptotically optimal priority policies for indexable and nonindexable restless bandits
IM Verloop - 2016 - projecteuclid.org
We study the asymptotic optimal control of multi-class restless bandits. A restless bandit is a
controllable stochastic process whose state evolution depends on whether or not the bandit …
controllable stochastic process whose state evolution depends on whether or not the bandit …
A refined mean field approximation
Mean field models are a popular means to approximate large and complex stochastic
models that can be represented as N interacting objects. Recently it was shown that under …
models that can be represented as N interacting objects. Recently it was shown that under …