The data traffic volume of the 6th generation (6G) mobile communication networks is huge,
and there are novel challenges in various communications services and scenarios. This …

In this paper, we deepen the analysis of continuous time Fictitious Play learning algorithm to
the consideration of various finite state Mean Field Game settings (finite horizon, $\gamma …

Non-cooperative and cooperative games with a very large number of players have many
applications but remain generally intractable when the number of players increases …

Mean field games were introduced independently by JM. Lasry and PL. Lions, and by M.
Huang, RP Malhamé and PE Caines, in order to bring a new approach to optimization …

A mean-field-type game is a game in which the instantaneous payoffs and/or the state
dynamics functions involve not only the state and the action profile but also the joint …

Game theory can provide a useful tool to study the security problem in mobile ad hoc
networks (MANETs). Most of existing works on applying game theories to security only …

The local navigation of pedestrians is assumed to involve no anticipation beyond the most
imminent collisions, in most models. These typically fail to reproduce some key features …

A novel distributed power control paradigm is proposed for dense small cell networks co-
existing with a traditional macrocellular network. The power control problem is first modeled …

The designs of many large-scale systems today, from traffic routing environments to smart
grids, rely on game-theoretic equilibrium concepts. However, as the size of an $ N $-player …

This paper studies the power allocation of an ultra-dense cellular network consisting of
multiple full-duplex (FD) base stations (BSs) serving a large number of half-duplex (HD) user …