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Found 11 papers, 4 papers with code
A Federated Reinforcement Learning Framework for Link Activation in Multi-link Wi-Fi Networks
However, given the limited number of available channels, the use of multiple links by a group of contending Basic Service Sets (BSSs) can result in higher interference and channel contention, thus potentially leading to lower performance and reliability.
Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANs
As wireless standards evolve, more complex functionalities are introduced to address the increasing requirements in terms of throughput, latency, security, and efficiency.
Machine Learning for Performance Prediction of Channel Bonding in Next-Generation IEEE 802.11 WLANs
With the advent of Artificial Intelligence (AI)-empowered communications, industry, academia, and standardization organizations are progressing on the definition of mechanisms and procedures to address the increasing complexity of future 5G and beyond communications.
Intelligent Reflecting Surfaces at Terahertz Bands: Channel Modeling and Analysis
An intelligent reflecting surface (IRS) at terahertz (THz) bands is expected to have a massive number of reflecting elements to compensate for the severe propagation losses.
Concurrent Decentralized Channel Allocation and Access Point Selection using Multi-Armed Bandits in multi BSS WLANs
Finding a suitable network configuration able to maximize the performance of enterprise WLANs is a challenging task given the complex dependencies between APs and stations.
Usage of Network Simulators in Machine-Learning-Assisted 5G/6G Networks
Without any doubt, Machine Learning (ML) will be an important driver of future communications due to its foreseen performance when applied to complex problems.
Spatial Reuse in IEEE 802.11ax WLANs
In particular, the main objective of the SR operation is to maximize the utilization of the medium by increasing the number of parallel transmissions.
Networking and Internet Architecture
On the Performance of the Spatial Reuse Operation in IEEE 802.11ax WLANs
The Spatial Reuse (SR) operation included in the IEEE 802. 11ax-2020 (11ax) amendment aims at increasing the number of parallel transmissions in an Overlapping Basic Service Set (OBSS).
Networking and Internet Architecture
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.
Adapting Sampling Interval of Sensor Networks Using On-Line Reinforcement Learning
The time between two successive measurements is a critical parameter to set during the WSN configuration because it can impact the WSN's lifetime, the wireless medium contention and the quality of the reported data.
Predicting Occupancy Trends in Barcelona's Bicycle Service Stations Using Open Data
That is, users might avoid stations at times when they could not return a bicycle that they have rented before, or when they would not find a bike to rent.
