5G Wireless Communication Networks II

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (15 September 2023) | Viewed by 3613

Special Issue Editors


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Guest Editor
Department of Communication Networks and Data Transmission, Saint-Petersburg State University of Telecommunications, 193232 St. Petersburg, Russia
Interests: Internet of Things (IoT); software-defined networking (SDN); 5G; 6G; intelligent edge
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Electronics, Communications and Computer Engineering, Egypt-Japan University of Science and Technology (E-JUST)New Borg El-Arab, Alexandria 21934, Egypt
Interests: biomedical and genomic signal processing; multimedia processing; optical and digital filters; switched-capacitor circuits; data compression; wavelet-transforms; genetic algorithms; immune algorithms; wireless sensor nodes; MIMO and millimeter wave wireless communications; energy harvesting; electronic circuits
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The fifth-generation cellular system, 5G, represents a new era of telecommunication systems that brings new requirements, applications and business cases. To enable 5G requirements and the announced use cases, new technologies and network structures should be deployed, such as mobile edge computing, MEC, software-defined networking, SDN, and network function virtualizations, NFV. The main requirements of 5G, including one-millisecond end-to-end latency, are still being researched; thus, the current version of 5G can be considered as a preliminary version. Many issues and challenges are still under investigation and research from both academic and business sectors.

The purpose of this Special Issue is to provide the academic and industrial communities with an excellent source of knowledge that covers all aspects of the current work on the emerging trends in 5G wireless communications and its use cases.

Potential topics include, but are not limited to, the following:

  • Deployment of MEC for 5G systems.
  • Offloading algorithms for MEC-based radio access networks.
  • Designing and developing intelligent core networks for 5G systems based on SDN.
  • Integrating SDN core networks with MEC-based radio access networks.
  • AI algorithms for 5G systems.
  • Network slicing and NFV.
  • Novel network structures that support both dense deployment and ultra-low latency applications.
  • 6G networks and enabling technologies.

Dr. Ammar Muthanna
Prof. Dr. Mohammed Abo-Zahhad
Guest Editors

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Keywords

  • 5G
  • 6G
  • ultra-low latency
  • dense deployment
  • MEC
  • SDN
  • slicing

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Published Papers (1 paper)

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Research

15 pages, 455 KiB  
Article
Short-Term Mobile Network Traffic Forecasting Using Seasonal ARIMA and Holt-Winters Models
by Irina Kochetkova, Anna Kushchazli, Sofia Burtseva and Andrey Gorshenin
Future Internet 2023, 15(9), 290; https://doi.org/10.3390/fi15090290 - 28 Aug 2023
Cited by 7 | Viewed by 3149
Abstract
Fifth-generation (5G) networks require efficient radio resource management (RRM) which should dynamically adapt to the current network load and user needs. Monitoring and forecasting network performance requirements and metrics helps with this task. One of the parameters that highly influences radio resource management [...] Read more.
Fifth-generation (5G) networks require efficient radio resource management (RRM) which should dynamically adapt to the current network load and user needs. Monitoring and forecasting network performance requirements and metrics helps with this task. One of the parameters that highly influences radio resource management is the profile of user traffic generated by various 5G applications. Forecasting such mobile network profiles helps with numerous RRM tasks such as network slicing and load balancing. In this paper, we analyze a dataset from a mobile network operator in Portugal that contains information about volumes of traffic in download and upload directions in one-hour time slots. We apply two statistical models for forecasting download and upload traffic profiles, namely, seasonal autoregressive integrated moving average (SARIMA) and Holt-Winters models. We demonstrate that both models are suitable for forecasting mobile network traffic. Nevertheless, the SARIMA model is more appropriate for download traffic (e.g., MAPE [mean absolute percentage error] of 11.2% vs. 15% for Holt-Winters), while the Holt-Winters model is better suited for upload traffic (e.g., MAPE of 4.17% vs. 9.9% for SARIMA and Holt-Winters, respectively). Full article
(This article belongs to the Special Issue 5G Wireless Communication Networks II)
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