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 3203
Special Issue Editor
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
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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
Related Special Issue
- 5G Enabling Technologies and Wireless Networking in Future Internet (6 articles)
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.