Medium access control protocols in cognitive radio networks: Overview and general classification

L Gavrilovska, D Denkovski, V Rakovic… - … Surveys & Tutorials, 2014 - ieeexplore.ieee.org
The Cognitive Radio and the Cognitive Radio Networks have recently become one of the
most intensively studied paradigms in wireless communications. The main distinctive …

Model-free reinforcement learning for fully cooperative consensus problem of nonlinear multiagent systems

H Wang, M Li - IEEE Transactions on Neural Networks and …, 2020 - ieeexplore.ieee.org
This article presents an off-policy model-free algorithm based on reinforcement learning
(RL) to optimize the fully cooperative (FC) consensus problem of nonlinear continuous-time …

Channel selection for network-assisted D2D communication via no-regret bandit learning with calibrated forecasting

S Maghsudi, S Stańczak - IEEE Transactions on Wireless …, 2014 - ieeexplore.ieee.org
We consider the distributed channel selection problem in the context of device-to-device
(D2D) communication as an underlay to a cellular network. Underlaid D2D users …

Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs

Q Zhang, D Zhao, Y Zhu - Neurocomputing, 2017 - Elsevier
In this paper, the fully cooperative game with partially constrained inputs in the continuous-
time Markov decision process environment is investigated using a novel data-driven …

A distributed clustering algorithm for coordinated multipoint in LTE networks

F Guidolin, L Badia, M Zorzi - IEEE Wireless Communications …, 2014 - ieeexplore.ieee.org
Coordination and cooperation among transmitters are fundamental paradigms to improve
the performance of next-generation mobile networks. By grou** multiple transmitters into …

An operations research game approach for resource and power allocation in cooperative femtocell networks

R Langar, S Secci, R Boutaba… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Femtocells are emerging as a key technology to improve coverage and network capacity in
indoor environments. When femtocells use different frequency bands than macrocells (ie …

A framework for dynamic network architecture and topology optimization

AS Shafigh, B Lorenzo, S Glisic… - IEEE/ACM …, 2015 - ieeexplore.ieee.org
A new paradigm in wireless network access is presented and analyzed. In this concept,
certain classes of wireless terminals can be turned temporarily into an access point (AP) …

Safe reinforcement learning for discrete-time fully cooperative games with partial state and control constraints using control barrier functions

S Liu, L Liu, Z Yu - Neurocomputing, 2023 - Elsevier
In this paper, a novel safe reinforcement learning is proposed for fully cooperative games of
discrete-time multi-player systems with partial state and control constraints. The fully …

Distributed cooperation under uncertainty in drone-based wireless networks: A Bayesian coalitional game

V Mittal, S Maghsudi, E Hossain - IEEE Transactions on Mobile …, 2021 - ieeexplore.ieee.org
We study the resource sharing problem in a drone-based wireless network by considering a
distributed control setting under uncertainty (eg, due to lack of full information). The drones …

Optimal Cooperative Control of Multi-Agent Systems Through Event-Triggered Model-Free Reinforcement Learning

C Mu, Z Tang, K Wang - IEEE Transactions on Emerging …, 2024 - ieeexplore.ieee.org
This paper addresses the optimal cooperative control problem for nonlinear multi-agent
systems with completely unknown dynamics and proposes a learning control scheme based …