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Implementation and Evaluation of Nodal Distribution and Movement in a 5G Mobile Network

Dmitry Baranov, Alexandr Terekhin, Dmitry Bragin, Anton Konev
2021 Future Internet  
It allows estimating the reliability of data transmission from the start movement of a network node at all times during its removal from a base station.  ...  Apart from the review, a solution for this tool was developed.  ...  The development of a module for stable and equal quantization of notifications in 5G mobile networks was no exception.  ... 
doi:10.3390/fi13120321 fatcat:os2s4s6ckzde3nuw6ux6nxy4va

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art [article]

Quoc-Viet Pham, Fang Fang, Vu Nguyen Ha, Md. Jalil Piran, Mai Le, Long Bao Le, Won-Joo Hwang, Zhiguo Ding
2020 arXiv   pre-print
The successful realization of MEC in the 5G network is still in its infancy and demands for constant efforts from both academic and industry communities.  ...  Driven by the emergence of new compute-intensive applications and the vision of the Internet of Things (IoT), it is foreseen that the emerging 5G network will face an unprecedented increase in traffic  ...  5G networks, where more base stations and access points are added and spatial spectrum reuse is exploited.  ... 
arXiv:1906.08452v2 fatcat:krti5kagxzeqte7osdpxs4lxoe

5G PPP Architecture Working Group - View on 5G Architecture, Version 4.0

Anastasius Gavras, Ömer Bulakci, Marco Gramaglia, Marius Iordache, Mir Ghoraishi, Antonio Garcia, Tezcan Cogalan, Jesús Gutiérrez, Anna Tzanakaki, Dan Warren, Xi Li, Giada Landi (+4 others)
2021 Zenodo  
The overall goal of the Architecture Working Group (WG) within the 5G PPP Initiative is to consolidate the main technology enablers and the bleeding-edge design trends in the context of the 5G Architecture  ...  industries, also known as verticals, the long-term evolution of the 5G technologies and the service-specific features.  ...  It consists of 5G radio base stations (i.e., gNB), 5G Core Network (CN), Edge, and central Data Centre.  ... 
doi:10.5281/zenodo.5155657 fatcat:xbjiccshe5cnvfurrh345dynue

A Tutorial on 5G NR V2X Communications

Mario H. Castaqeda Garcia, Alejandro Molina-Galan, Mate Boban, Javier Gozalvez, Baldomero Coll-Perales, Taylan Sahin, Apostolos Kousaridas
2021 IEEE Communications Surveys and Tutorials  
This paper presents an in-depth tutorial of the 3GPP Release 16 5G NR V2X standard for V2X communications, with a particular focus on the sidelink, since it is the most significant part of 5G NR V2X.  ...  The Third Generation Partnership Project (3GPP) has recently published its Release 16 that includes the first Vehicle to-Everything (V2X) standard based on the 5G New Radio (NR) air interface. 5G NR V2X  ...  ACKNOWLEDGMENT We would like to thank Konstantinos Manolakis and Lu Lei and for their useful inputs on the structure of the paper, the physical layer section, and the QoS framework section.  ... 
doi:10.1109/comst.2021.3057017 fatcat:3eob2w4mangzznuux5lcw3bavi

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art

Quoc-Viet Pham, Fang Fang, Vu Nguyen Ha, Md. Jalil Piran, Mai Le, Long Bao Le, Won-Joo Hwang, Zhiguo Ding
2020 IEEE Access  
5G networks, where more base stations and access points are added and spatial spectrum reuse is exploited.  ...  [21] - [23] -Review of how to exploit MEC and other edge computing paradigms for IoT applications. [24] - [26] -Review and analyses of security and resilience of edge computing technologies.  ... 
doi:10.1109/access.2020.3001277 fatcat:isme7xwfejf4pfnowosljxnzja

Wireless Communication Technologies for Safe Cooperative Cyber Physical Systems

Ali Balador, Anis Kouba, Dajana Cassioli, Fotis Foukalas, Ricardo Severino, Daria Stepanova, Giovanni Agosta, Jing Xie, Luigi Pomante, Maurizio Mongelli, Pierluigi Pierini, Stig Petersen (+1 others)
2018 Sensors  
The discussion is provided under consideration in the 5G standardization process within 3GPP, whose current efforts are inline to current gaps in wireless communications protocols for Co-CPSs including  ...  Safety for Co-CPS enabled by wireless communication technologies is a crucial aspect and requires new dedicated design approaches.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s18114075 pmid:30469438 fatcat:7m7au53zvbghxokx6ofzjtxyui

6G Technology Overview - One6G White Paper [article]

One6G Association
2022 Zenodo  
times higher data rates than in 5G).  ...  6G is supposed to address the demands for consumption of mobile networking services in 2030 and beyond.  ...  Then, a congestion-aware random-access protocol is applied to avoid impeding the performance of the LWA-enabled network.  ... 
doi:10.5281/zenodo.6630705 fatcat:rghtxgovubc5zartbe2qx4ekvm

A Smart Water Metering Deployment Based on the Fog Computing Paradigm

Dimitrios Amaxilatis, Ioannis Chatzigiannakis, Christos Tselios, Nikolaos Tsironis, Nikos Niakas, Simos Papadogeorgos
2020 Applied Sciences  
The performance of the system is evaluated in terms of network utilization and computational performance.  ...  Cloud-centric approaches need to address several performance issues at all levels of the network, as massive metering datasets are transferred to distant machine clouds while respecting issues like security  ...  Conflicts of Interest: No conflict of interest is reported by the authors.  ... 
doi:10.3390/app10061965 fatcat:x77ljzeqhvec3ingcsig2czhhy

Deep Learning in Mobile and Wireless Networking: A Survey [article]

Chaoyun Zhang, Paul Patras, Hamed Haddadi
2019 arXiv   pre-print
Upcoming 5G systems are evolving to support exploding mobile traffic volumes, agile management of network resource to maximize user experience, and extraction of fine-grained real-time analytics.  ...  Subsequently, we provide an encyclopedic review of mobile and wireless networking research based on deep learning, which we categorize by different domains.  ...  learning in the optimizer Quantized training [144] Quantizes the gradients into {-1, 0, 1} for training • Good for distributed training • Memory-efficient • Loses training accuracy Stable gradient  ... 
arXiv:1803.04311v3 fatcat:awuvyviarvbr5kd5ilqndpfsde

Deep Learning in Mobile and Wireless Networking: A Survey

Chaoyun Zhang, Paul Patras, Hamed Haddadi
2019 IEEE Communications Surveys and Tutorials  
Upcoming 5G systems are evolving to support exploding mobile traffic volumes, real-time extraction of fine-grained analytics, and agile management of network resources, so as to maximize user experience  ...  Subsequently, we provide an encyclopedic review of mobile and wireless networking research based on deep learning, which we categorize by different domains.  ...  learning in the optimizer Quantized training [146] Quantizes the gradients into {-1, 0, 1} for training • Good for distributed training • Memory-efficient • Loses training accuracy Stable gradient  ... 
doi:10.1109/comst.2019.2904897 fatcat:xmmrndjbsfdetpa5ef5e3v4xda

A Survey of the Functional Splits Proposed for 5G Mobile Crosshaul Networks

Line M. P. Larsen, Aleksandra Checko, Henrik L. Christiansen
2019 IEEE Communications Surveys and Tutorials  
The functional split determines how many base station functions to leave locally, close to the user, with the benefit of relaxing fronthaul network bitrate and delay requirements, and how many functions  ...  Pacing the way toward 5G has lead researchers and industry in the direction of centralized processing known from Cloud-Radio Access Networks (C-RAN).  ...  The results illustrate that for split 2, the transport protocols can pose performance limitations, but do not break the real-time operation of the base stations.  ... 
doi:10.1109/comst.2018.2868805 fatcat:3vwllucv4zhehb7r3tn7wmtagm

A Critical Analysis of Research Potential, Challenges, and Future Directives in Industrial Wireless Sensor Networks

Mohsin Raza, Nauman Aslam, Hoa Le-Minh, Sajjad Hussain, Yue Cao, Noor Muhammad Khan
2018 IEEE Communications Surveys and Tutorials  
The paper lists main service providers for IWSNs solutions and gives insight of future trends and research gaps in the field of IWSNs.  ...  In this paper a detailed discussion on design objectives, challenges and solutions, for IWSNs, are presented.  ...  In such cases, congestion control mechanisms implement congestion notification for upstream nodes to counter the congestion problem [445] .  ... 
doi:10.1109/comst.2017.2759725 fatcat:bnmgx2zwvra3fesu4jec4t3wky

Machine Learning for Wireless Link Quality Estimation: A Survey

Gregor Cerar, Halil Yetgin, Mihael Mohorcic, Carolina Fortuna
2021 IEEE Communications Surveys and Tutorials  
We analyze ML-based Link Quality Estimation (LQE) models from two perspectives using performance data.  ...  model performance.  ...  ., quantization is around 3dB on most hardware.  ... 
doi:10.1109/comst.2021.3053615 fatcat:q4iz4g76dretfnghopkkkopixe

Machine Learning for Wireless Link Quality Estimation: A Survey [article]

Gregor Cerar, Halil Yetgin, Mihael Mohorčič, Carolina Fortuna
2021 arXiv   pre-print
We analyze ML-based link quality estimation (LQE) models from two perspectives using performance data.  ...  Finally, we round up our survey with the lessons learned and design guidelines for ML-based LQE development and dataset collection.  ...  ., quantization is around 3dB on most hardware.  ... 
arXiv:1812.08856v10 fatcat:tp4rb5ynmbde7ax4nvh5imvh5y

D6.1 System Orchestration And Management Design And Implementation

Carlos Parada, Isabel Borges, Francisco Fontes, George Tsolis, Michael J. McGrath, Vincenzo Riccobene, John Thomson, Julian Chesterfield, Joel Atherley, Manos Ragiadakos, Luis Tomas Bolivar, Livnat Peer (+13 others)
2018 Zenodo  
This deliverable reports the efforts of the three WP6 Tasks.  ...  It concludes all the efforts done at WP6, finalizing the control framework, the SLA-base deployment design, and completes the symbolic execution checking and anomaly detection tools implementation.  ...  The MEC paradigm advocates for the deployment of virtualized network services on distributed access infrastructures, which are placed next to base stations and aggregation points, and run on x86 commodity  ... 
doi:10.5281/zenodo.1232116 fatcat:sdtzshzkljbennvyyi7qklryby
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