Practical 5G Network Servicing Use Cases

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: closed (15 August 2021) | Viewed by 11785

Special Issue Editor

Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, 2 Magyar Tudósok krt., H-1117 Budapest, Hungary
Interests: IoT; CPS; Industry 4.0; interoperability; wireless communication; monitoring; performance evaluation; QoS; 5G; artificial intelligence; deep learning
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Special Issue Information

Dear Colleagues,

While the various aspects of 5G are already standardized, and vendors as well as operators announce deployment reports, technically sound research papers are missing on many of those success stories. The promises of 5G are being fulfilled in front of our eyes, although analyses of the actual performances and quality metrics for the related, widely-known methods, such as massive MIMO, slicing, SDN, and NFV, are harder to find.

These results are interesting from the point of view of vendors, operators, application developers, and integrators, and can even serve as great feedback for the standardization bodies. The use-case descriptions and the related results can then be utilized for modeling, optimization, or integration planning, among others.

This Special Issue focuses on practical results on 5G network service deployments—from radio-related aspects through traffic performance and quality of service to slicing. We welcome original research contributions and state-of-the-art reviews from academia and industry. The Special Issue topics include, but are not limited to, those listed in the keywords section.

Prof. Dr. Pal Varga
Guest Editor

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Keywords

  • 5G network measurements—performance, QoS, and traffic analysis
  • Slicing in action
  • Enhanced mobile broadband (eMBB) traffic
  • Ultra-reliable low latency communications (URLLC)
  • Massive machine type communications (mMTC)
  • Use-case demonstration/deployment report
  • Private 5G networks
  • Industrial IoT applications
  • Practical SDN and NFV application results within 5G architecture
  • Massive MIMO measurements and analysis

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Published Papers (2 papers)

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Research

20 pages, 646 KiB  
Article
An Intelligent Fuzzy Logic-Based Content and Channel Aware Downlink Scheduler for Scalable Video over OFDMA Wireless Systems
by Peter E. Omiyi, Moustafa M. Nasralla, Ikram Ur Rehman, Nabeel Khan and Maria G. Martini
Electronics 2020, 9(7), 1071; https://doi.org/10.3390/electronics9071071 - 30 Jun 2020
Cited by 9 | Viewed by 2490
Abstract
The recent advancements of wireless technology and applications make downlink scheduling and resource allocations an important research topic. In this paper, we consider the problem of downlink scheduling for multi-user scalable video streaming over orthogonal frequency division multiple access (OFDMA) channels. The video [...] Read more.
The recent advancements of wireless technology and applications make downlink scheduling and resource allocations an important research topic. In this paper, we consider the problem of downlink scheduling for multi-user scalable video streaming over orthogonal frequency division multiple access (OFDMA) channels. The video streams are precoded using a scalable video coding (SVC) scheme. We propose a fuzzy logic-based scheduling algorithm, which prioritises the transmission to different users by considering video content, and channel conditions. Furthermore, a novel analytical model and a new performance metric have been developed for the performance analysis of the proposed scheduling algorithm. The obtained results show that the proposed algorithm outperforms the content-blind/channel aware scheduling algorithms with a gain of as much as 19% in terms of the number of supported users. The proposed algorithm allows for a fairer allocation of resources among users across the entire sector coverage, allowing for the enhancement of video quality at edges of the cell while minimising the degradation of users closer to the base station. Full article
(This article belongs to the Special Issue Practical 5G Network Servicing Use Cases)
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32 pages, 3303 KiB  
Article
Towards Traffic Identification and Modeling for 5G Application Use-Cases
by Gabor Soos, Daniel Ficzere and Pal Varga
Electronics 2020, 9(4), 640; https://doi.org/10.3390/electronics9040640 - 13 Apr 2020
Cited by 16 | Viewed by 8522
Abstract
To analyze next-generation mobile networks properly, there is a need to define key performance indicators (KPIs). Testing signaling only or just partial domains of the network have been replaced with end-to-end testing methodologies. With the appearing of machine-to-machine (M2M) applications, this question became [...] Read more.
To analyze next-generation mobile networks properly, there is a need to define key performance indicators (KPIs). Testing signaling only or just partial domains of the network have been replaced with end-to-end testing methodologies. With the appearing of machine-to-machine (M2M) applications, this question became even harder, since there is no direct user feedback. Quality of experience cannot be measured accurately in M2M applications, even if the network operates correctly and without failures. There are dozens of new—but theoretical—use-cases for 5G; however, these are not tested on a live network. The modeling methodology used throughout the paper follows the steps of observation, analysis, model creation, implementation, and verification. The first part of the paper examines the three application-types: enhanced mobile broadband (eMBB), critical Internet of Things (cIoT), and mass Internet of Things (mIoT). Afterwards, we introduce the main traffic characteristics based on current mobile networks’ traffic patterns and measurements. Considering the measurement results, we introduce a methodology and define traffic models for the simulation of different application-types. To validate these models, we compare the generated artificial traffic with real traffic patterns. In the second part of the paper, we examine what the main effects of these traffic patterns on a domestic 5G test-network are. Finally, we suggest some considerations on the possible main impacts regarding 5G network design. Full article
(This article belongs to the Special Issue Practical 5G Network Servicing Use Cases)
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