Octavian Fratu

Prof. Dr. Octavian Fratu

Department of Telecommunications, University Politehnica of Bucharest, 060042 Bucharest, Romania
orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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31 October 2016 in Physical Review Letters
Verified
Journal Article
Open access
PDF file
AAA. Aab
A. Aab
PAP. Abreu
P. Abreu
MAM. Aglietta
M. Aglietta
EAE. J. Ahn
E. J. Ahn
ISI. Al Samarai
I. Al Samarai
PCPierre Auger Collaboration
Pierre Auger Collaboration
Ultrahigh energy cosmic ray air showers probe particle physics at energies beyond the reach of accelerators. Here we introduce a new method to test hadronic interaction models without relying on the absolute energy calibration, and apply it to events with primary energy 6–16 EeV (ECM=110–170  TeV), whose longitudinal development and lateral distribution were simultaneously measured by the Pierre Auger Observatory. The average hadronic shower is 1.33±0.16 (1.61±0.21) times larger than predicted using the leading LHC-tuned models EPOS-LHC (QGSJetII-04), with a corresponding excess of muons.

1 May 2013
Verified
Conference Paper
Closed access
GSGeorge Suciu
George Suciu
Alexandru VulpeAlexandru Vulpe
Alexandru Vulpe
SHSimona Halunga
Simona Halunga
Octavian FratuOctavian Fratu
Octavian Fratu
GTGyorgy Todoran
Gyorgy Todoran
VSVictor Suciu
Victor Suciu
Cloud Computing and Internet of Things (IoT) are currently two of the most popular ICT paradigms that are expected to shape the next era of computing. The convergence between cloud computing and IoT has become a hot topic over the last few years because of the benefits that IoT could have from the distributed nature of cloud computing infrastructures. This paper proposes a new platform for using cloud computing capacities for provision and support of ubiquitous connectivity and real-time applications and services for smart cities' needs. We present a framework for data procured from highly distributed, heterogeneous, decentralized, real and virtual devices (sensors, actuators, smart devices) that can be automatically managed, analyzed and controlled by distributed cloud-based services.

7 September 2015 in Journal of Medical Systems
Verified
Journal Article
Closed access
PDF file
GSGeorge Suciu
George Suciu
VSVictor Suciu
Victor Suciu
Alexandru MartianAlexandru Martian
Alexandru Martian
Razvan CraciunescuRazvan Craciunescu
Razvan Craciunescu
Alexandru VulpeAlexandru Vulpe
Alexandru Vulpe
Octavian FratuOctavian Fratu
Octavian Fratu

14 February 2022 in Sensors
Verified
Journal Article
Open access
PDF file
FCFlorin-Lucian Chiper
Florin-Lucian Chiper
Alexandru MartianAlexandru Martian
Alexandru Martian
CVCalin Vladeanu
Calin Vladeanu
IMIon Marghescu
Ion Marghescu
Razvan CraciunescuRazvan Craciunescu
Razvan Craciunescu
Octavian FratuOctavian Fratu
Octavian Fratu
With the decrease in the cost and size of drones in recent years, their number has also increased exponentially. As such, the concerns regarding security aspects that are raised by their presence are also becoming more serious. The necessity of designing and implementing systems that are able to detect and provide defense actions against such threats has become apparent. In this paper, we perform a survey regarding the different drone detection and defense systems that were proposed in the literature, based on different types of methods (i.e., radio frequency (RF), acoustical, optical, radar, etc.), with an emphasis on RF-based systems implemented using software-defined radio (SDR) platforms. We have followed the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines in order to provide a concise and thorough presentation of the current status of the subject. In the final part, we also describe our own solution that was designed and implemented in the framework of the DronEnd research project. The DronEnd system is based on RF methods and uses SDR platforms as the main hardware elements.

15 August 2024 in IEEE Access
Verified
Journal Article
Open access
Seyed Salar SefatiSeyed Salar Sefati
Seyed Salar Sefati
AHAsim Ul Haq
Asim Ul Haq
NINidhi
Nidhi
Razvan CraciunescuRazvan Craciunescu
Razvan Craciunescu
Simona Viorica HalungaSimona Viorica Halunga
Simona Viorica Halunga
Octavian FratuOctavian Fratu
Octavian Fratu
The transition to 6th Generation (6G) cellular networks offers significant improvements over 5th Generation (5G), enhancing data transfer, reducing latency, and improving network reliability. Advanced Multiple-Input Multiple-Output (MIMO) technology in 6G boosts network efficiency, particularly benefiting Ultra-Reliable Low-Latency Communications (URLLC). This paper reviews literature on resource management in the Internet of Things (IoT) within the 6G context. We categorize the study into four segments: network-aware resource management, dynamic resource allocation, predictive resource distribution based on traffic and architecture, and energy-centric resource allocation considering IoT device mobility and location. We provide a detailed perspective on current research and highlight future research avenues. Key contributions include a comparative study of IoT resource management techniques, an overview of resource management across LTE, 5G, and 6G networks, insights into applications like Intelligent Transportation Systems (ITS), Industrial IoT (IIoT), and Mobile CrowdSensing (MCS), and an emphasis on upcoming challenges. We emphasize the crucial role of efficient resource management in IoT, particularly in the 6G landscape.

1 February 2013 in Journal of Cosmology and Astroparticle Physics
Verified
Journal Article
Closed access
PAP Abreu
P Abreu
DMDiego Torres Machado
Diego Torres Machado
NBN Borodai
N Borodai
GGG P Guedes
G P Guedes
JNJ Neuser
J Neuser
TNTim Niggemann
Tim Niggemann