A comprehensive overview of TCP congestion control in 5G networks: Research challenges and future perspectives

J Lorincz, Z Klarin, J Ožegović - Sensors, 2021 - mdpi.com
In today's data networks, the main protocol used to ensure reliable communications is the
transmission control protocol (TCP). The TCP performance is largely determined by the used …

A variegated look at 5G in the wild: performance, power, and QoE implications

A Narayanan, X Zhang, R Zhu, A Hassan… - Proceedings of the …, 2021 - dl.acm.org
Motivated by the rapid deployment of 5G, we carry out an in-depth measurement study of the
performance, power consumption, and application quality-of-experience (QoE) of …

Understanding operational 5G: A first measurement study on its coverage, performance and energy consumption

D Xu, A Zhou, X Zhang, G Wang, X Liu, C An… - Proceedings of the …, 2020 - dl.acm.org
5G, as a monumental shift in cellular communication technology, holds tremendous potential
for spurring innovations across many vertical industries, with its promised multi-Gbps speed …

Lumos5G: Mapping and predicting commercial mmWave 5G throughput

A Narayanan, E Ramadan, R Mehta, X Hu… - Proceedings of the …, 2020 - dl.acm.org
The emerging 5G services offer numerous new opportunities for networked applications. In
this study, we seek to answer two key questions: i) is the throughput of mmWave 5G …

Coopedge: A decentralized blockchain-based platform for cooperative edge computing

L Yuan, Q He, S Tan, B Li, J Yu, F Chen, H Jin… - Proceedings of the Web …, 2021 - dl.acm.org
Edge computing (EC) has recently emerged as a novel computing paradigm that offers
users low-latency services. Suffering from constrained computing resources due to their …

Elf: accelerate high-resolution mobile deep vision with content-aware parallel offloading

W Zhang, Z He, L Liu, Z Jia, Y Liu, M Gruteser… - Proceedings of the 27th …, 2021 - dl.acm.org
As mobile devices continuously generate streams of images and videos, a new class of
mobile deep vision applications are rapidly emerging, which usually involve running deep …

Emp: Edge-assisted multi-vehicle perception

X Zhang, A Zhang, J Sun, X Zhu, YE Guo… - Proceedings of the 27th …, 2021 - dl.acm.org
Connected and Autonomous Vehicles (CAVs) heavily rely on 3D sensors such as LiDARs,
radars, and stereo cameras. However, 3D sensors from a single vehicle suffer from two …

From cloud to edge: a first look at public edge platforms

M Xu, Z Fu, X Ma, L Zhang, Y Li, F Qian… - Proceedings of the 21st …, 2021 - dl.acm.org
Public edge platforms have drawn increasing attention from both academia and industry. In
this study, we perform a first-of-its-kind measurement study on a leading public edge …

Machine learning-based boosted regression ensemble combined with hyperparameter tuning for optimal adaptive learning

J Isabona, AL Imoize, Y Kim - Sensors, 2022 - mdpi.com
Over the past couple of decades, many telecommunication industries have passed through
the different facets of the digital revolution by integrating artificial intelligence (AI) techniques …

CSEdge: Enabling collaborative edge storage for multi-access edge computing based on blockchain

L Yuan, Q He, F Chen, J Zhang, L Qi… - … on Parallel and …, 2021 - ieeexplore.ieee.org
Multi-access Edge Computing (MEC), as an extension of cloud computing, provides storage
resources at the network edge to enable low-latency data retrieval for users. Due to limited …