A survey on mobile edge computing for video streaming: Opportunities and challenges

MA Khan, E Baccour, Z Chkirbene, A Erbad… - IEEE …, 2022 - ieeexplore.ieee.org
5G communication brings substantial improvements in the quality of service provided to
various applications by achieving higher throughput and lower latency. However, interactive …

[HTML][HTML] A comprehensive review of 5G NR RF-EMF exposure assessment technologies: fundamentals, advancements, challenges, niches, and implications

E Korkmaz, S Aerts, R Coesoij, CR Bhatt… - Environmental …, 2024 - Elsevier
This review offers a detailed examination of the current landscape of radio frequency (RF)
electromagnetic field (EMF) assessment tools, ranging from spectrum analyzers and …

From 5G to 6G technology: meets energy, internet-of-things and machine learning: a survey

MN Mahdi, AR Ahmad, QS Qassim, H Natiq… - Applied Sciences, 2021 - mdpi.com
Due to the rapid development of the fifth-generation (5G) applications, and increased
demand for even faster communication networks, we expected to witness the birth of a new …

Optimal volumetric video streaming with hybrid saliency based tiling

J Li, C Zhang, Z Liu, R Hong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Volumetric video enables a six-degree-of-freedom (6DoF) immersive viewing experience
and has a wide range of applications in entertainment and education, among others. Most …

HiTDL: High-throughput deep learning inference at the hybrid mobile edge

J Wu, L Wang, Q Pei, X Cui, F Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Deep neural networks (DNNs) have become a critical component for inference in modern
mobile applications, but the efficient provisioning of DNNs is non-trivial. Existing mobile-and …

Zero-touch networks: Towards next-generation network automation

M El Rajab, L Yang, A Shami - Computer Networks, 2024 - Elsevier
The Zero-touch network and Service Management (ZSM) framework represents an
emerging paradigm in the management of the fifth-generation (5G) and Beyond (5G+) …

5G traffic prediction based on deep learning

Z Gao - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
The demand of wireless access users is increasing explosively. The 5G network traffic is
increasing exponentially and showing a trend of diversity and heterogeneity, which makes …

Split federated learning for 6G enabled-networks: Requirements, challenges and future directions

H Hafi, B Brik, PA Frangoudis, A Ksentini… - IEEE Access, 2024 - ieeexplore.ieee.org
Sixth-generation (6G) networks anticipate intelligently supporting a wide range of smart
services and innovative applications. Such a context urges a heavy usage of Machine …

Reliable detection of location spoofing and variation attacks

C Kim, SY Chang, D Lee, J Kim, K Park, J Kim - IEEE Access, 2023 - ieeexplore.ieee.org
Location spoofing is a critical attack in mobile communications. While several previous
studies investigated the detection of location spoofing attacks, they are limited in their …

Graft: Efficient inference serving for hybrid deep learning with SLO guarantees via DNN re-alignment

J Wu, L Wang, Q Jin, F Liu - IEEE Transactions on Parallel and …, 2023 - ieeexplore.ieee.org
Deep neural networks (DNNs) have been widely adopted for various mobile inference tasks,
yet their ever-increasing computational demands are hindering their deployment on …