CORDIC arithmetic for an SVD processor

JR Cavallaro, FT Luk - Journal of parallel and distributed computing, 1988 - Elsevier
Arithmetic issues in the calculation of the Singular Value Decomposition (SVD) are
discussed. Traditional algorithms using hardware division and square root are replaced with …

Mobile traffic classification through physical control channel fingerprinting: A deep learning approach

HD Trinh, AF Gambin, L Giupponi… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The automatic classification of applications and services is an invaluable feature for new
generation mobile networks. Here, we propose and validate algorithms to perform this task …

Enhancing the performance of mobile traffic identification with communication patterns

S Mongkolluksamee, V Visoottiviseth… - 2015 IEEE 39Th …, 2015 - ieeexplore.ieee.org
Traffic classification is important especially for managing and monitoring networks which
contain a wide variety of traffic, such as in the mobile network. Using only packet based …

Extending labeled mobile network traffic data by three levels traffic identification fusion

Z Liu, R Wang, D Tang - Future Generation Computer Systems, 2018 - Elsevier
Mobile traffic classification is critically important for the decision-making of network
management such as traffic sha** and traffic pricing. Labeled traffic data are the requisite …

Combining communication patterns & traffic patterns to enhance mobile traffic identification performance

S Mongkolluksamee, V Visoottiviseth… - Journal of Information …, 2016 - jstage.jst.go.jp
The bandwidth of a mobile network is limited and exhausted very fast with the huge number
of mobile devices and applications. In order to manage and utilize the limited bandwidth …

Benchmark data for mobile app traffic research

R Wang, Z Liu, Y Cai, D Tang, J Yang… - Proceedings of the 15th …, 2018 - dl.acm.org
Mobile app traffic classification aims to automatically map mobile packets into apps. It has
become an active task in mobile traffic engineering, and numerous algorithms have been …

Mobile traffic classification through physical channel fingerprinting: A deep learning approach

HD Trinh, AF Gambin, L Giupponi, M Rossi… - arxiv preprint arxiv …, 2019 - arxiv.org
The automatic classification of applications and services is an invaluable feature for new
generation mobile networks. Here, we propose and validate algorithms to perform this task …

Data analytics for mobile traffic in 5G networks using machine learning techniques

HD Trinh - 2020 - upcommons.upc.edu
This thesis collects the research works I pursued as Ph. D. candidate at the Universitat
Politecnica de Catalunya (UPC). Most of the work has been accomplished at the Mobile …

[PDF][PDF] Classification of mobile services and apps through physical channel fingerprinting: a deep learning approach

HD Trinh, AF Gambin, L Giupponi… - arxiv preprint arxiv …, 2019 - researchgate.net
The automatic classification of applications and services is an invaluable feature for new
generation mobile networks. Here, we propose and validate algorithms to perform this task …

Research on mobile network traffic taxonomy

Z Liu, R Wang, D Tang - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
A huge amount of mobile traffic runs on Internet every day. The complex mobile traffic data
may degrade the network performance if they are not well managed. As the important …