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: closed (30 April 2024) | Viewed by 4481

Special Issue Editor


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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
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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

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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

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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 - 6 Feb 2024
Cited by 1 | Viewed by 2036
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 1653
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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