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Future Internet
Special Issues
Novel 5G Deployment Experience and Performance Results
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Novel 5G Deployment Experience and Performance Results

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

Deadline for manuscript submissions: 30 April 2024 | Viewed by 3196

Special Issue Editor

Dr. Michael Mackay

E-Mail Website
Guest Editor
School of Computer Science and Mathematics, Liverpool John Moores University, Liverpool L3 3AF, UK
Interests: wireless communications; radio resource management; internet protocols; IoT; computing continuum
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With 5G deployments achieving significant progress and the specification and requirements for future 6G networks increasingly taking shape, it is now a good time to reflect on the experiences gained from utilising the current generation of technologies. The heterogeneous nature of 5G means that it can support a wide range of deployments using a mix of heterogeneous technologies to fit almost any use case, from the IoT to industry 4.0 and from MNO providers to private or non-public networks. The experiences gained from this process will therefore provide important input into the development of next-generation wireless technologies.

This Special Issue aims to gather the latest research and experiences in novel 5G deployments and performance results. This primarily includes reports on the successful deployment of public or non-public 5G networks in a range of scenarios and using a mix of core and access technologies. This might include a wide range of topics including, but not limited to, performance evaluation of 5G vertical spits, massive access and radio resource management analysis, self-organizing networks, network sharing and slicing experiences, and machine-learning-based radio optimization.

Dr. Michael Mackay
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • private 5G deployments and non-public networks
  • heterogeneous 5G performance results
  • RRM and network optimisation
  • network slicing and shared infrastructures
  • machine-learning-based radio optimization

Related Special Issue

Published Papers (2 papers)

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Research

22 pages, 1501 KiB  
Article
A QoS-Aware IoT Edge Network for Mobile Telemedicine Enabling In-Transit Monitoring of Emergency Patients
by Adwitiya Mukhopadhyay, Aryadevi Remanidevi Devidas, Venkat P. Rangan and Maneesha Vinodini Ramesh
Future Internet 2024, 16(2), 52; https://doi.org/10.3390/fi16020052 - 06 Feb 2024
Viewed by 1357
Abstract
Addressing the inadequacy of medical facilities in rural communities and the high number of patients affected by ailments that need to be treated immediately is of prime importance for all countries. The various recent healthcare emergency situations bring out the importance of telemedicine [...] Read more.
Addressing the inadequacy of medical facilities in rural communities and the high number of patients affected by ailments that need to be treated immediately is of prime importance for all countries. The various recent healthcare emergency situations bring out the importance of telemedicine and demand rapid transportation of patients to nearby hospitals with available resources to provide the required medical care. Many current healthcare facilities and ambulances are not equipped to provide real-time risk assessment for each patient and dynamically provide the required medical interventions. This work proposes an IoT-based mobile medical edge (IM2E) node to be integrated with wearable and portable devices for the continuous monitoring of emergency patients transported via ambulances and it delves deeper into the existing challenges, such as (a) a lack of a simplified patient risk scoring system, (b) the need for architecture that enables seamless communication for dynamically varying QoS requirements, and (c)the need for context-aware knowledge regarding the effect of end-to-end delay and the packet loss ratio (PLR) on the real-time monitoring of health risks in emergency patients. The proposed work builds a data path selection model to identify the most effective path through which to route the data packets in an effective manner. The signal-to-noise interference ratio and the fading in the path are chosen to analyze the suitable path for data transmission. Full article
(This article belongs to the Special Issue Novel 5G Deployment Experience and Performance Results)
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19 pages, 4254 KiB  
Article
Optimal Meshing Degree Performance Analysis in a mmWave FWA 5G Network Deployment
by Iffat Gheyas, Alessandro Raschella and Michael Mackay
Future Internet 2023, 15(6), 218; https://doi.org/10.3390/fi15060218 - 20 Jun 2023
Cited by 1 | Viewed by 1188
Abstract
Fifth-generation technologies have reached a stage where it is now feasible to consider deployments that extend beyond traditional public networks. Central to this process is the application of Fixed Wireless Access (FWA) in 5G Non-public Networks (NPNs) that can utilise a novel combination [...] Read more.
Fifth-generation technologies have reached a stage where it is now feasible to consider deployments that extend beyond traditional public networks. Central to this process is the application of Fixed Wireless Access (FWA) in 5G Non-public Networks (NPNs) that can utilise a novel combination of radio technologies to deploy an infrastructure on top of 5G NR or entirely from scratch. However, the use of FWA backhaul faces many challenges in relation to the trade-offs for reduced costs and a relatively simple deployment. Specifically, the use of meshed deployments is critical as it provides resilience against a temporary loss of connectivity due to link errors. In this paper, we examine the use of meshing in a FWA backhaul to determine if an optimal trade-off exists between the deployment of more nodes/links to provide multiple paths to the nearest Point of Presence (POP) and the performance of the network. Using a real 5G NPN deployment as a basis, we have conducted a simulated analysis of increasing network densities to determine the optimal configuration. Our results show a clear advantage for meshing in general, but there is also a performance trade-off to consider between overall network throughput and stability. Full article
(This article belongs to the Special Issue Novel 5G Deployment Experience and Performance Results)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Guaranteeing Vehicular Route Selection with 5G Millimeter Wave Connectivity
Authors: Masoto Chiputa; Arun Kumar; Peter Chong*; Hui Li
Affiliation: Auckland University of Technology
Abstract: e-Horizon and cognitive driving assistance services are among novel intelligent services advancing full autonomicity in vehicles. This is beside new infotainment applications that enhance user quality of travel. The enlisted services are however data intensive. Thus, several solutions on Vehicular Edge Computing (VEC) technology and, usage of spectrum within the Millimeter Wave (mmWave) bands have been exploited. VEC enables quick access of useful data by cars using edge equipment. mmWaves on the other hand provide gigabit data rates to enable high speed network access and huge data flows among cars. The challenge however is the network connectivity among VEC equipment is normally poor and challenging, partly due to short residence time of users. Additionally, mmWaves are sensitive to user mobility, and topological dynamics. Considering microwave systems have limited bandwidth, to guarantee highspeed connectivity among cars, we propose an intelligent augmented vehicular route selection and network scheme. It deploys a multi-staged deep learning network orchestrator that predicts the likely link behaviour pattern of the network on a selected driving path. Given different possible driving paths to destination can exist at one point, the scheme brainstorms their mobile connectivity guarantees using DRL model. It also espouses an on-demand network updates to enable an efficient network link selection with minimal overheads. Further, the scheme explores channel gain diversity among target links to compensate low receivable power in scenarios where NLOS exists. Simulation results show that our scheme improves link availability and reliability, reduces packet loss and overhead by at least two orders of magnitude.

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