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07/11/2023
Channel Selection for Wi-Fi 7 Multi-Link Operation via Optimistic-Weighted VDN and Parallel Transfer Reinforcement Learning
Dense and unplanned IEEE 802.11 Wireless Fidelity(Wi-Fi) deployments and...
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07/06/2023
Intent-driven Intelligent Control and Orchestration in O-RAN Via Hierarchical Reinforcement Learning
rApps and xApps need to be controlled and orchestrated well in the open ...
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05/14/2023
Smart Home Energy Management: VAE-GAN synthetic dataset generator and Q-learning
Recent years have noticed an increasing interest among academia and indu...
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05/03/2023
Heterogeneous GNN-RL Based Task Offloading for UAV-aided Smart Agriculture
Having unmanned aerial vehicles (UAVs) with edge computing capability ho...
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04/22/2023
On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning enabled UE-Centric Traffic Steering
Traffic steering (TS) is a promising approach to support various service...
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03/15/2023
RL meets Multi-Link Operation in IEEE 802.11be: Multi-Headed Recurrent Soft-Actor Critic-based Traffic Allocation
IEEE 802.11be -Extremely High Throughput-, commercially known as Wireles...
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02/14/2023
To Risk or Not to Risk: Learning with Risk Quantification for IoT Task Offloading in UAVs
A deep reinforcement learning technique is presented for task offloading...
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02/01/2023
Beam Selection for Energy-Efficient mmWave Network Using Advantage Actor Critic Learning
The growing adoption of mmWave frequency bands to realize the full poten...
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01/27/2023
Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning
Federated Learning (FL) has emerged as a promising framework for distrib...
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01/18/2023
Hierarchical Reinforcement Learning Based Traffic Steering in Multi-RAT 5G Deployments
In 5G non-standalone mode, an intelligent traffic steering mechanism can...
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01/13/2023
Hierarchical Deep Q-Learning Based Handover in Wireless Networks with Dual Connectivity
5G New Radio proposes the usage of frequencies above 10 GHz to speed up ...
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01/12/2023
Traffic Steering for 5G Multi-RAT Deployments using Deep Reinforcement Learning
In 5G non-standalone mode, traffic steering is a critical technique to t...
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12/21/2022
The Internet of Senses: Building on Semantic Communications and Edge Intelligence
The Internet of Senses (IoS) holds the promise of flawless telepresence-...
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12/18/2022
Knowledge Transfer and Reuse: A Case Study of AI-enabled Resource Management in RAN Slicing
An efficient resource management scheme is critical to enable network sl...
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11/28/2022
Cooperate or not Cooperate: Transfer Learning with Multi-Armed Bandit for Spatial Reuse in Wi-Fi
The exponential increase of wireless devices with highly demanding servi...
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11/14/2022
Reinforcement Learning Based Resource Allocation for Network Slices in O-RAN Midhaul
Network slicing envisions the 5th generation (5G) mobile network resourc...
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09/15/2022
IoT-Aerial Base Station Task Offloading with Risk-Sensitive Reinforcement Learning for Smart Agriculture
Aerial base stations (ABSs) allow smart farms to offload processing resp...
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09/15/2022
Deep Reinforcement Learning for Task Offloading in UAV-Aided Smart Farm Networks
The fifth and sixth generations of wireless communication networks are e...
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08/02/2022
Federated Deep Reinforcement Learning for Resource Allocation in O-RAN Slicing
Recently, open radio access network (O-RAN) has become a promising techn...
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04/11/2022
Semantic Information Market For The Metaverse: An Auction Based Approach
In this paper, we address the networking and communications problems of ...
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02/12/2022
On the Impacts of Phase Shifting Design and Eavesdropping Uncertainty on Secrecy Metrics of RIS-aided Systems
This paper investigates the secrecy outage probability (SOP), the lower ...
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01/25/2022
Reinforcement Learning-Based Deadline and Battery-Aware Offloading in Smart Farm IoT-UAV Networks
Unmanned aerial vehicles (UAVs) with mounted base stations are a promisi...
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01/19/2022
Variational Autoencoder Generative Adversarial Network for Synthetic Data Generation in Smart Home
Data is the fuel of data science and machine learning techniques for sma...
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01/19/2022
Team Learning-Based Resource Allocation for Open Radio Access Network (O-RAN)
Recently, the concept of open radio access network (O-RAN) has been prop...
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12/16/2021
Effective Rate of RIS-aided Networks with Location and Phase Estimation Uncertainty
Reconfigurable Intelligent Surfaces (RIS) are planar structures connecte...
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11/22/2021
Multi-agent Bayesian Deep Reinforcement Learning for Microgrid Energy Management under Communication Failures
Microgrids (MGs) are important players for the future transactive energy...
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10/23/2021
Knowledge Transfer based Radio and Computation Resource Allocation for 5G RAN Slicing
To implement network slicing in 5G, resource allocation is a key functio...
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10/13/2021
Competitive Multi-Agent Load Balancing with Adaptive Policies in Wireless Networks
Using Machine Learning (ML) techniques for the next generation wireless ...
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10/01/2021
Dynamic CU-DU Selection for Resource Allocation in O-RAN Using Actor-Critic Learning
Recently, there has been tremendous efforts by network operators and equ...
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09/30/2021
Energy-Efficient and Delay-Guaranteed Joint Resource Allocation and DU Selection in O-RAN
The radio access network (RAN) part of the next-generation wireless netw...
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09/25/2021
Smart Home Energy Management: Sequence-to-Sequence Load Forecasting and Q-Learning
A smart home energy management system (HEMS) can contribute towards redu...
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09/16/2021
Learning from Peers: Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G Network Slicing
Radio access network (RAN) slicing is an important part of network slici...
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08/29/2021
Risk-Aware Fine-Grained Access Control in Cyber-Physical Contexts
Access to resources by users may need to be granted only upon certain co...
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07/09/2021
QoS-Aware Load Balancing in Wireless Networks using Clipped Double Q-Learning
In recent years, long-term evolution (LTE) and 5G NR (5th Generation New...
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06/26/2021
Short-Term Load Forecasting for Smart HomeAppliances with Sequence to Sequence Learning
Appliance-level load forecasting plays a critical role in residential en...
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06/24/2021
RAN Resource Slicing in 5G Using Multi-Agent Correlated Q-Learning
5G is regarded as a revolutionary mobile network, which is expected to s...
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05/10/2021
Age of Information Aware VNF Scheduling in Industrial IoT Using Deep Reinforcement Learning
In delay-sensitive industrial internet of things (IIoT) applications, th...
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03/08/2021
Machine Learning-based Inter-Beam Inter-Cell Interference Mitigation in mmWave
In this paper, we address inter-beam inter-cell interference mitigation ...
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03/08/2021
Radio Resource and Beam Management in 5G mmWave Using Clustering and Deep Reinforcement Learning
To optimally cover users in millimeter-Wave (mmWave) networks, clusterin...
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03/08/2021
AI-enabled Future Wireless Networks: Challenges, Opportunities and Open Issues
A plethora of demanding services and use cases mandate a revolutionary s...
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03/06/2021
Decentralized Microgrid Energy Management: A Multi-agent Correlated Q-learning Approach
Microgrids (MG) are anticipated to be important players in the future sm...
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03/06/2021
Correlated Deep Q-learning based Microgrid Energy Management
Microgrid (MG) energy management is an important part of MG operation. V...
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01/30/2021
Actor-Critic Learning Based QoS-Aware Scheduler for Reconfigurable Wireless Networks
The flexibility offered by reconfigurable wireless networks, provide new...
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12/09/2020
Multi Agent Team Learning in Disaggregated Virtualized Open Radio Access Networks (O-RAN)
Starting from the Cloud Radio Access Network (C-RAN), continuing with th...
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12/09/2020
Transfer Reinforcement Learning for 5G-NR mm-Wave Networks
In this paper, we aim at interference mitigation in 5G millimeter-Wave (...
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12/06/2020