AFCC-r: Adaptive Feedback Congestion Control Algorithm to Avoid Queue Overflow in LTE Networks

M Çakmak, Z Albayrak - Mobile Networks and Applications, 2022 - Springer
With the dramatic increase in the number of users and the widespread use of smartphones,
most of the internet content today is provided by cellular connections. The purpose of many …

Artificial intelligence of things at the edge: Scalable and efficient distributed learning for massive scenarios

S Bano, N Tonellotto, P Cassarà, A Gotta - Computer Communications, 2023 - Elsevier
Federated Learning (FL) is a distributed optimization method in which multiple client nodes
collaborate to train a machine learning model without sharing data with a central server …

Latency and throughput optimization in modern networks: a comprehensive survey

A Mirzaeinnia, M Mirzaeinia, A Rezgui - arXiv preprint arXiv:2009.03715, 2020 - arxiv.org
Modern applications are highly sensitive to communication delays and throughput. This
paper surveys major attempts on reducing latency and increasing the throughput. These …

QoS aware service provisioning and resource distribution in 4G/5G heterogeneous networks

R Nath - Deep Learning Technologies for the Sustainable …, 2023 - Springer
Abstract The Fourth Generation (4G) wireless communication network is widely
implemented with standardized framework of operation and QoS constraints. Emergence of …

Avoiding queue overflow and reducing queuing delay at eNodeB in LTE networks using congestion feedback mechanism

ND Adesh, A Renuka - Computer Communications, 2019 - Elsevier
During congestion in LTE network, most of the algorithms succeed in either address the
queue overflow problem or bufferbloat problem through implicit congestion control …

Receiver-side TCP countermeasure in cellular networks

P Dong, K Gao, J Xie, W Tang, N Xiong, AV Vasilakos - Sensors, 2019 - mdpi.com
Cellular-based networks keep large buffers at base stations to smooth out the bursty data
traffic, which has a negative impact on the user's Quality of Experience (QoE). With the boom …

A software defined networking approach for guaranteeing delay in Wi-Fi networks

DTT Hien, TD Ngo, DD Le, H Sekiya, VH Pham… - Proceedings of the 10th …, 2019 - dl.acm.org
Recently, low latency has become one of the most critical requirements in Wi-Fi networks
(eg, for Internet access). Many factors and events such as bufferbloat, which unexpectedly …

I sent it: Where does slow data go to wait?

Y Im, P Rahimzadeh, B Shouse, S Park… - Proceedings of the …, 2019 - dl.acm.org
Emerging applications like virtual reality (VR), augmented reality (AR), and 360-degree
video aim to exploit the unprecedentedly low latencies promised by technologies like the …

A Machine Learning-Based Link Quality Assistance at Transport Layer for High-Frequency Networks

JM Ppallan, S Singh… - ICC 2024-IEEE …, 2024 - ieeexplore.ieee.org
Operating in high-frequency bands such as mmWave and Terahertz poses challenges due
to frequent variations in channel quality. These fluctuations impact the radio protocol stack …

Optimizing tcp loss recovery performance over mobile data networks

K Liu, Z Zha, W Wan, V Aggarwal, B Fu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Recent advances in high-speed mobile networks have revealed new bottlenecks in
ubiquitous TCP protocol deployed in the Internet. In addition to differentiating non …