Collaborative spatial reuse in wireless networks via selfish multi-armed bandits
Next-generation wireless deployments are characterized by being dense and
uncoordinated, which often leads to inefficient use of resources and poor performance. To …
uncoordinated, which often leads to inefficient use of resources and poor performance. To …
Potential and pitfalls of multi-armed bandits for decentralized spatial reuse in WLANs
Spatial Reuse (SR) has recently gained attention to maximize the performance of IEEE
802.11 Wireless Local Area Networks (WLANs). Decentralized mechanisms are expected to …
802.11 Wireless Local Area Networks (WLANs). Decentralized mechanisms are expected to …
Decentralized learning for multiplayer multiarmed bandits
We consider the problem of distributed online learning with multiple players in multiarmed
bandit (MAB) models. Each player can pick among multiple arms. When a player picks an …
bandit (MAB) models. Each player can pick among multiple arms. When a player picks an …
Joint channel selection and power control in infrastructureless wireless networks: A multiplayer multiarmed bandit framework
S Maghsudi, S Stańczak - IEEE Transactions on Vehicular …, 2014 - ieeexplore.ieee.org
This paper deals with the problem of efficient resource allocation in dynamic
infrastructureless wireless networks. In a reactive interference-limited scenario, at each …
infrastructureless wireless networks. In a reactive interference-limited scenario, at each …
Implications of decentralized Q-learning resource allocation in wireless networks
Reinforcement Learning is gaining attention by the wireless networking community due to its
potential to learn good-performing configurations only from the observed results. In this work …
potential to learn good-performing configurations only from the observed results. In this work …
Stateless reinforcement learning for multi-agent systems: The case of spectrum allocation in dynamic channel bonding WLANs
S Barrachina-Muñoz, A Chiumento… - 2021 Wireless Days …, 2021 - ieeexplore.ieee.org
Spectrum allocation in the form of primary channel and bandwidth selection is a key factor
for dynamic channel bonding (DCB) wireless local area networks (WLANs). To cope with …
for dynamic channel bonding (DCB) wireless local area networks (WLANs). To cope with …
Fast learning for dynamic resource allocation in AI-enabled radio networks
MA Qureshi, C Tekin - IEEE Transactions on Cognitive …, 2019 - ieeexplore.ieee.org
Artificial Intelligence (AI)-enabled radios are expected to enhance the spectral efficiency of
5th generation (5G) millimeter wave (mmWave) networks by learning to optimize network …
5th generation (5G) millimeter wave (mmWave) networks by learning to optimize network …
One more step towards reality: Cooperative bandits with imperfect communication
The cooperative bandit problem is increasingly becoming relevant due to its applications in
large-scale decision-making. However, most research for this problem focuses exclusively …
large-scale decision-making. However, most research for this problem focuses exclusively …
Networked restless bandits with positive externalities
C Herlihy, JP Dickerson - Proceedings of the AAAI Conference on …, 2023 - ojs.aaai.org
Restless multi-armed bandits are often used to model budget-constrained resource
allocation tasks where receipt of the resource is associated with an increased probability of …
allocation tasks where receipt of the resource is associated with an increased probability of …
Decentralized learning for channel allocation in IoT networks over unlicensed bandwidth as a contextual multi-player multi-armed bandit game
We study a decentralized channel allocation problem in an ad-hoc Internet of Things
network underlaying on the spectrum licensed to a primary cellular network. In the …
network underlaying on the spectrum licensed to a primary cellular network. In the …