Radu Dragomir
6 Papers
8 Citations
Radu Dragomir is an academic researcher. The author has contributed to research in topics: 5G & Dynamic web page. The author has an hindex of 2, co-authored 5 publications.
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Papers
Latency requirement for 5G mobile communications
Cristina Gabriela Gheorghe,Dan Alexandru Stoichescu,Radu Dragomir +2 more
- 28 Jun 2018
TL;DR: The 5G latency requirement for much faster packet trips will enable network service providers to fully comply with customers needs.
10
•Proceedings Article
A synthetic impulse noise environment for DSL access networks
Radu Dragomir,Sorin Puscoci,Dorina Dragomir +2 more
- 26 Sep 2011
TL;DR: This model gives a full description of the impulse statistics in the time and frequency domains, enables generation of impulses with statistically appropriate both time and spectral characteristics, and reflects the current statistics of impulse noise in digital networks.
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Massive MIMO technology for 5G adaptive networks
Cristina-Gabriela Gheorghe,Radu Dragomir,Dan Alexandru Stoichescu +2 more
- 27 Jun 2019
TL;DR: The narrowband flat fading MIMO system model used in WiFi, WiMAX, HSPA+ and LTE broadband wireless communications systems as well as in digital TV broadcasting is presented.
5
Digital Media Distribution Platform Using Amazon Web Services
Marius Alexandru Dinca,Nicoleta Angelescu,Radu Dragomir,Dan Constantin Puchianu,Ion Caciula +4 more
- 27 Jun 2019
TL;DR: This paper presents a serverless modern digital media platform for media content distribution based on the Amazon Web Services (AWS) cloud platform that offers reduced loading times and efficient media format conversion/distribution.
Convex quartic problems: homogenized gradient method and preconditioning
Radu Dragomir,Yurii Nesterov +1 more
- 30 Jun 2023
TL;DR: In this article , the authors consider a convex minimization problem for which the objective is the sum of a homogeneous polynomial of degree four and a linear term, and they design a first-order method called Homogenized Gradient, along with an accelerated version, which enjoy fast convergence rates.