Resource-efficient synthetic data generation for performance evaluation in mobile edge computing over 5g networks
Mobile Edge Computing (MEC) in 5G networks has emerged as a promising technology to
enable efficient and low-latency services for mobile users. In this paper, we present a novel …
enable efficient and low-latency services for mobile users. In this paper, we present a novel …
5GT-GAN: Enhancing Data Augmentation for 5G-Enabled Mobile Edge Computing in Smart Cities
This paper introduces 5GT-GAN, a novel approach leveraging generative adversarial
networks (GANs) to create synthetic mobile Internet traffic data, particularly tailored to smart …
networks (GANs) to create synthetic mobile Internet traffic data, particularly tailored to smart …
Contextual beamforming: Exploiting location and AI for enhanced wireless telecommunication performance
Beamforming, an integral component of modern mobile networks, enables spatial selectivity
and improves network quality. However, many beamforming techniques are iterative …
and improves network quality. However, many beamforming techniques are iterative …
Usage of Published Network Traffic Datasets for Anomaly and Change Point Detection
R Aleksiejunas, D Garuolis - Wireless Personal Communications, 2023 - Springer
The lack of publicly open network traffic datasets for research purposes is hindering
machine learning applications to wireless network analysis and design. In this work, a …
machine learning applications to wireless network analysis and design. In this work, a …
Towards green machine learning for resource allocation in beyond 5G RAN slicing
A Oliveira, T Vazão - Computer Networks, 2023 - Elsevier
The new generation of mobile communications, 5G, has been rolled out. While basic
features were successively implemented, more complex ones have been left aside for a new …
features were successively implemented, more complex ones have been left aside for a new …
Machine learning based prediction with parameters tuning of multi-label real road vehicles characteristics
The real-time traffic characteristics on the road network highly affect the safety conditions
and the driving behaviors there. Early detection of crowded areas or hazardous conditions …
and the driving behaviors there. Early detection of crowded areas or hazardous conditions …
On the design of bus-based vehicular networks: Mobility generation and data dissemination
C Celes, A Boukerche… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
In this paper, we focus on two fundamental aspects in the design of Bus-based Vehicular
Networks: the building of bus mobility scenarios for validating solutions and the …
Networks: the building of bus mobility scenarios for validating solutions and the …
Mapping network performance to radio resources
A Oliveira, T Vazão - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Network slicing allows flexible and automatic provisioning of resources to satisfy
contractually defined Key Performance Indicator (KPI) targets. When admitting new slices …
contractually defined Key Performance Indicator (KPI) targets. When admitting new slices …
LiDAR aided Simulation Pipeline for Wireless Communication in Vehicular Traffic Scenarios
U Kopiyawattage, AD Ranjula… - 2023 IEEE 34th …, 2023 - ieeexplore.ieee.org
Integrated Sensing and Communication (ISAC) is one new technology under development
for Sixth Generation (6G) systems. This paper focuses on creating a simulation pipeline for …
for Sixth Generation (6G) systems. This paper focuses on creating a simulation pipeline for …
Fast Packet Loss Inferring via Personalized Simulation-Reality Distillation
Packet loss inferring can enable a transceiver to distinguish between channel impairment
and collision for transmission failures, and thus can improve the network performance by …
and collision for transmission failures, and thus can improve the network performance by …