Special Issue "5G and Beyond towards Enhancing Our Future"

A special issue of Journal of Sensor and Actuator Networks (ISSN 2224-2708). This special issue belongs to the section "Communications and Networking".

Deadline for manuscript submissions: closed (31 January 2021).

Special Issue Editors

Dr. Ayman Radwan
E-Mail Website
Guest Editor
Instituto de Telecomunicações and Universidade de Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
Interests: wireless communications; radio resource management; Internet of things; future generations of mobile communications (5G)
Special Issues, Collections and Topics in MDPI journals
Dr. Maria de Fátima Domingues
E-Mail Website
Guest Editor
Instituto de Telecomunicações, Campus Universitário de Santiago, P-3810-193 Aveiro, Portugal
Interests: optical fiber sensors; fiber Bragg gratings; Fabry-Perot interformetric sensors; eHealth applications; gait analysis; wearable sensing devices
Special Issues, Collections and Topics in MDPI journals
Dr. Abd-Elhamid Taha
E-Mail Website
Guest Editor
Alfaisal University, Riyadh, Saudi Arabia
Interests: radio resource management; wireless networks; mobile computing

Special Issue Information

Dear Colleagues,

5G is not in the future anymore—now, it is just around the corner. 3GPP Release 15 represents the first official standardization of 5G. With the publication of release 15, 5G became a reality, with the deployment of the first commercial 5G network expected as early as 2020. 5G is expected to be a game changer, which will completely change how we live our lives, from basic communications, all the way to smart city, eHealth, and smart transportation and self-driving vehicles.

However, the road to achieving the full promise of 5G is still a long one. Release 15 only addresses one use-case eMBB and non-standalone 5G. Lots of challenges still exist, and researchers are still required to answer many open questions.

Concerning this topic, we are soliciting original unpublished works targeting 5G and beyond, with emphasis on the challenges facing mMTC (massive machine type communications) and URLLC (ultra-reliable low latency communications). Additionally, submitted works can propose new applications targeting verticals, such as eHealth, Smart City, and ITS (intelligent transportation systems), including sensing solutions.

Topics, include, but are not limited to, the following:

  • Network slicing
  • Network function virtualization
  • Software-defined networks (SDN)
  • Mobility management in 5G heterogeneous networks
  • Ultra-dense networking
  • Cross-layer optimization
  • Mobile edge computing
  • AI and machine learning for 5G networking
  • Fog and cloud solutions
  • 5G applications and services
  • 5G verticals
  • IoT challenges and solutions
  • eHealth challenges and solutions
  • Smart city

Dr. Ayman Radwan
Dr. Maria de Fátima Fonseca Domingues
Dr. Abd-Elhamid Taha
Guest Editors

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 papers will be 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. Journal of Sensor and Actuator Networks is an international peer-reviewed open access quarterly 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

  • 5G
  • Future communications
  • Network slicing
  • Softwarization
  • Virtualization
  • IoT

Published Papers (4 papers)

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Research

Article
Quality of Experience in 6G Networks: Outlook and Challenges
J. Sens. Actuator Netw. 2021, 10(1), 11; https://doi.org/10.3390/jsan10010011 - 01 Feb 2021
Cited by 1 | Viewed by 878
Abstract
In this paper, we discuss the critical characteristics of user experience in sixth generation (6G) cellular networks. We first describe cellular networks’ evolution through 5G and then discuss the enabling technologies and projected services in 6G networks. We note that these networks are [...] Read more.
In this paper, we discuss the critical characteristics of user experience in sixth generation (6G) cellular networks. We first describe cellular networks’ evolution through 5G and then discuss the enabling technologies and projected services in 6G networks. We note that these networks are markedly centered around expanded intelligence, end-to-end resource and topology synchronization, and the intrinsic support to low-latency, high-bandwidth communication. These capabilities make context-rich, cyberphysical user experiences viable. It thereby becomes necessary to define and identify the role of quality of experience in 6G networks, especially when it comes to network management. We elaborate on these expected challenges and allude to viable opportunities in emerging technologies. Full article
(This article belongs to the Special Issue 5G and Beyond towards Enhancing Our Future)
Article
A Clustering-Driven Approach to Predict the Traffic Load of Mobile Networks for the Analysis of Base Stations Deployment
J. Sens. Actuator Netw. 2020, 9(4), 53; https://doi.org/10.3390/jsan9040053 - 23 Nov 2020
Cited by 1 | Viewed by 1152
Abstract
Mobile network traffic is increasing in an unprecedented manner, resulting in growing demand from network operators to deploy more base stations able to serve more devices while maintaining a satisfactory level of service quality. Base stations are considered the leading energy consumer in [...] Read more.
Mobile network traffic is increasing in an unprecedented manner, resulting in growing demand from network operators to deploy more base stations able to serve more devices while maintaining a satisfactory level of service quality. Base stations are considered the leading energy consumer in network infrastructure; consequently, increasing the number of base stations will increase power consumption. By predicting the traffic load on base stations, network optimization techniques can be applied to decrease energy consumption. This research explores different machine learning and statistical methods capable of predicting traffic load on base stations. These methods are examined on a public dataset that provides records of traffic loads of several base stations over the span of one week. Because of the limited number of records in the dataset for each base station, different base stations are grouped while building the prediction model. Due to the different behavior of the base stations, forecasting the traffic load of multiple base stations together becomes challenging. The proposed solution involves clustering the base stations according to their behavior and forecasting the load on the base stations in each cluster individually. Clustering the time series data according to their behavior mitigates the dissimilar behavior problem of the time series when they are trained together. Our findings demonstrate that predictions based on deep recurrent neural networks perform better than other forecasting techniques. Full article
(This article belongs to the Special Issue 5G and Beyond towards Enhancing Our Future)
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Article
Personal Picocell Scheme Using Adaptive Control CRE in Heterogeneous Mobile Networks
J. Sens. Actuator Netw. 2020, 9(4), 48; https://doi.org/10.3390/jsan9040048 - 14 Oct 2020
Cited by 1 | Viewed by 864
Abstract
Heterogeneous networks (HetNets), which are combined with a macrocell and picocell in the same coverage, are expected to further increase the system capacity in fifth-generation mobile systems and beyond. In HetNets, the cell range expansion (CRE) technique plays an important role and can [...] Read more.
Heterogeneous networks (HetNets), which are combined with a macrocell and picocell in the same coverage, are expected to further increase the system capacity in fifth-generation mobile systems and beyond. In HetNets, the cell range expansion (CRE) technique plays an important role and can allow more user equipment (UE) to access the picocell, i.e., virtually expand the picocell coverage. However, conventional CRE techniques that provide a fixed cell selection offset (CSO) for all UE may worsen user throughput if UE is forced to connect to the picocell because the received signal-to-interference plus noise ratio of the UE becomes lower. Therefore, we propose a personal picocell scheme using an adaptive control CRE technique to improve user throughput in which different CSOs are assigned to UE to form each optimal picocell for each UE. In this paper, we first describe the aspects and algorithm of the proposed scheme. Then, we show the user throughput for adaptive control CRE in comparison with conventional CRE by using system-level computer simulations for the two types of HetNets, i.e., single-band and multi-band HetNets. In the simulations, we first clarify the optimal parameters of the adaptive control CRE. We then show the average and 5-percentile user throughput of the optimized adaptive control CRE in comparison with that of conventional CRE. From these results, we confirmed that the personal picocell scheme using the adaptive control CRE can improve the 5-percentile user throughput while maintaining the average user throughput compared with that of conventional CRE. Full article
(This article belongs to the Special Issue 5G and Beyond towards Enhancing Our Future)
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Article
Comparison of Management and Orchestration Solutions for the 5G Era
J. Sens. Actuator Netw. 2020, 9(1), 4; https://doi.org/10.3390/jsan9010004 - 04 Jan 2020
Cited by 21 | Viewed by 4123
Abstract
5G is considered to be the technology that will accommodate the development and management of innovative services with stringent and diverse requirements from end users, calling for new business models from the industry. In this context, the development and efficient management of Network [...] Read more.
5G is considered to be the technology that will accommodate the development and management of innovative services with stringent and diverse requirements from end users, calling for new business models from the industry. In this context, the development and efficient management of Network Services (NS) serving specific vertical industries and spanning across multiple administrative domains and heterogeneous infrastructures is challenging. The main challenges regard the efficient provision of NSs considering the Quality of Service (QoS) requirements per vertical industry along with the optimal usage of the allocated resources. Towards addressing these challenges, this paper details an innovative approach that we have developed for managing and orchestrating such NSs, called SONATA, and compare it with OSM and Cloudify, which are two of the most known open-source Management and Orchestration (MANO) frameworks. In addition to examining the supported orchestration mechanisms per MANO framework, an evaluation of main operational and functional KPIs is provided based on experimentation using a real testbed. The final aim is the identification of their strong and weak points, and the assessment of their suitability for serving diverse vertical industry needs, including of course the Internet of Things (IoT) service ecosystem. Full article
(This article belongs to the Special Issue 5G and Beyond towards Enhancing Our Future)
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