sensors-logo

Journal Browser

Journal Browser

6G Wireless Communication Systems

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 13676

Special Issue Editors


E-Mail Website
Guest Editor
Department of Physics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Interests: antenna design; microwave components design; wireless communications; evolutionary algorithms; machine learning
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor

E-Mail Website
Guest Editor
Electrical and Computer Engineering, University of Patras, 26504 Rio Achaia, Greece
Interests: antenna design; microwaves in medicine; antenna miniaturization; wireless harvesting; medical applications; optimization techniques; microwave imaging; implantable antennas; wearable antennas; microwave measurements
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, University of Western Macedonia, 50100 Kozani, Greece
Interests: IoT; 5G mobile communication; UAV; quality of service; radio access networks; computer network security; radio networks; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen 518110, China
Interests: Internet of Things (IoT); edge computing; machine learning; computer vision; cyber physical systems; future Internet architecture and smart-energy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The use of mm-Wave in 5G wireless communications will mitigate the spectrum shortage in current 4G cellular communication systems that operate at frequencies below 6 GHz. However, the increasing number of new applications such as virtual/augmented reality (VR/AR), autonomous driving, Internet of Things (IoT), and wireless backhaul (as a replacement for labor-intensive installation of optical fiber), as well as newer applications that have not been conceived yet, will need even greater data rates and less latency than what 5G networks will offer. 6G is expected to extend 5G capabilities even further. Higher bitrates (up to Tbps) and lower latency (less than 1ms) enable the introduction of new services – such as pervasive edge intelligence, ultra-massive machine-type communications, extremely reliable low-latency communications, holographic telepresence, eHealth and wellness applications, pervasive connectivity in smart environments, industry 4.0 and massive robotics, massive unmanned mobility in three dimensions, and augmented reality (AR) and virtual reality (VR).

On the other hand, artificial intelligence (AI) approaches and techniques, such as machine learning (ML) (of which deep learning and reinforcement learning are specific examples), are new fundamental enablers for operating wireless networks more efficiently, for enhancing the overall end-user experience and for providing innovative service applications. Machine learning (ML) will represent a basic functionality to guarantee the efficiency of future wireless communication networks and, at the same time, can represent enabling technology for several added-value applications and services. The utilization of ML in the wireless communication nodes can enable several advanced services and quality of service functionalities for the proposed applications. Considering, all the above, research in 6G wireless systems is a highly challenging topic.

We invite researchers to contribute original papers that describe applications and experiences of the emerging trends of 6G communication technologies.

Potential topics include but are not limited to the following:

  • Antenna design for 6G systems
  • Machine learning applications for 6G networks
  • Network design and optimization for 6G
  • THz Communications as 6G enabler
  • NOMA techniques for 6G
  • IoT for 6G
  • Vision, key drivers, new services, and requirements for 6G
  • System and network architectures for 6G
  • Wireless backhaul and fronthaul solutions for 6G

You may choose our Joint Special Issue in Telecom.

Prof. Dr. Sotirios Goudos
Prof. Dr. Dimitris Anagnostou
Prof. Dr. Stavros Koulouridis
Prof. Dr. Kostas E. Psannis
Prof. Dr. Panagiotis Sarigiannidis
Prof. Dr. Shaohua Wan
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 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. Sensors is an international peer-reviewed open access semimonthly 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 2600 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.

Published Papers (4 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

19 pages, 5370 KiB  
Article
SWIPT-Pairing Mechanism for Channel-Aware Cooperative H-NOMA in 6G Terahertz Communications
by Haider W. Oleiwi and Hamed Al-Raweshidy
Sensors 2022, 22(16), 6200; https://doi.org/10.3390/s22166200 - 18 Aug 2022
Cited by 14 | Viewed by 1457
Abstract
The constraints of 5G communication systems compel further improvements to be compatible with 6G candidate technologies, especially to cope with the limited wavelengths of blockage-sensitive terahertz (THz) frequencies. In this paper integrating cooperative simultaneous wireless information and power transfer (SWIPT) and hybrid-non-orthogonal multiple [...] Read more.
The constraints of 5G communication systems compel further improvements to be compatible with 6G candidate technologies, especially to cope with the limited wavelengths of blockage-sensitive terahertz (THz) frequencies. In this paper integrating cooperative simultaneous wireless information and power transfer (SWIPT) and hybrid-non-orthogonal multiple access (H-NOMA) using THz frequency bands are suggested. We investigated and developed an optimal SWIPT-pairing mechanism for the multilateral proposed system that represents a considerable enhancement in energy/spectral efficiencies while improving the significant system specifications. Given the system performance investigation and the gains achieved, in this paper, wireless communication systems were optimized and upgraded, making use of promising technologies including H-NOMA and THz communications. This process aimed to alleviate the THz transmission challenges and improve wireless connectivity, resource availability, processing, robustness, capacity, user-fairness, and overall performance of communication networks. It thoroughly optimized the best H-NOMA pairing scheme for cell users. The conducted results showed how the proposed technique managed to improve energy and spectral efficiencies compared to the related work by more than 75%, in addition to the dynamism of the introduced mechanism. This system reduces the transceivers’ hardware and computational complexity while improving reliability and transmission rates, without the need for complex technologies, e.g., multi-input multi-output or reflecting services. Full article
(This article belongs to the Special Issue 6G Wireless Communication Systems)
Show Figures

Figure 1

23 pages, 2071 KiB  
Article
Dynamic QoS Management for a Flexible 5G/6G Network Core: A Step toward a Higher Programmability
by Petar D. Bojović, Teodor Malbašić, Dušan Vujošević, Goran Martić and Živko Bojović
Sensors 2022, 22(8), 2849; https://doi.org/10.3390/s22082849 - 07 Apr 2022
Cited by 12 | Viewed by 3666
Abstract
The academic and professional community has recently started to develop the concept of 6G networks. The scientists have defined key performance indicators and pursued large-scale automation, ambient sensing intelligence, and pervasive artificial intelligence. They put great efforts into implementing new network access and [...] Read more.
The academic and professional community has recently started to develop the concept of 6G networks. The scientists have defined key performance indicators and pursued large-scale automation, ambient sensing intelligence, and pervasive artificial intelligence. They put great efforts into implementing new network access and edge computing solutions. However, further progress depends on developing a more flexible core infrastructure according to more complex QoS requirements. Our research aims to provide 5G/6G core flexibility by customizing and optimizing network slices and introducing a higher level of programmability. We bind similar services in a group, manage them as a single slice, and enable a higher level of programmability as a prerequisite for dynamic QoS. The current 5G solutions primarily use predefined queues, so we have developed highly flexible, dynamic queue management software and moved it entirely to the application layer (reducing dependence on the physical network infrastructure). Further, we have emulated a testbed environment as realistically as possible to verify the proposed model capabilities. Obtained results confirm the validity of the proposed dynamic QoS management model for configuring queues’ parameters according to the service management requirements. Moreover, the proposed solution can also be applied efficiently to 5G core networks to resolve complex service requirements. Full article
(This article belongs to the Special Issue 6G Wireless Communication Systems)
Show Figures

Figure 1

12 pages, 3736 KiB  
Communication
Collision Avoidance Strategy for the Autocrane
by Dong Wang, Baochang Liu, Jian Shen, Li Chen and Lydia Zhu
Sensors 2021, 21(20), 6746; https://doi.org/10.3390/s21206746 - 11 Oct 2021
Viewed by 1656
Abstract
The collision between the boom of the autocrane and the obstacle may cause serious equipment damages or casualties. With the development of 6G technology, data between multiple autocranes could be shared in real time, which makes it possible to finely control the autocranes. [...] Read more.
The collision between the boom of the autocrane and the obstacle may cause serious equipment damages or casualties. With the development of 6G technology, data between multiple autocranes could be shared in real time, which makes it possible to finely control the autocranes. In order to avoid collision accidents, a collision avoidance strategy is proposed in this paper. This strategy focuses on the evaluation of the collision urgency and different evaluation methods are designed to match the three basic exercise modes of the boom. Based on the collision urgency, the control strategy is then put forward to ensure the boom’s safety in every collision risk level. Additionally, two special cases are also considered to guarantee that all parts of the boom, except for the end, will not hit the obstacle. Lastly, a semi-physical testing platform is established to test the performance of the proposed collision avoidance strategy. Full article
(This article belongs to the Special Issue 6G Wireless Communication Systems)
Show Figures

Figure 1

16 pages, 1404 KiB  
Article
Towards 6G IoT: Tracing Mobile Sensor Nodes with Deep Learning Clustering in UAV Networks
by Yannis Spyridis, Thomas Lagkas, Panagiotis Sarigiannidis, Vasileios Argyriou, Antonios Sarigiannidis, George Eleftherakis and Jie Zhang
Sensors 2021, 21(11), 3936; https://doi.org/10.3390/s21113936 - 07 Jun 2021
Cited by 23 | Viewed by 4213
Abstract
Unmanned aerial vehicles (UAVs) in the role of flying anchor nodes have been proposed to assist the localisation of terrestrial Internet of Things (IoT) sensors and provide relay services in the context of the upcoming 6G networks. This paper considered the objective of [...] Read more.
Unmanned aerial vehicles (UAVs) in the role of flying anchor nodes have been proposed to assist the localisation of terrestrial Internet of Things (IoT) sensors and provide relay services in the context of the upcoming 6G networks. This paper considered the objective of tracing a mobile IoT device of unknown location, using a group of UAVs that were equipped with received signal strength indicator (RSSI) sensors. The UAVs employed measurements of the target’s radio frequency (RF) signal power to approach the target as quickly as possible. A deep learning model performed clustering in the UAV network at regular intervals, based on a graph convolutional network (GCN) architecture, which utilised information about the RSSI and the UAV positions. The number of clusters was determined dynamically at each instant using a heuristic method, and the partitions were determined by optimising an RSSI loss function. The proposed algorithm retained the clusters that approached the RF source more effectively, removing the rest of the UAVs, which returned to the base. Simulation experiments demonstrated the improvement of this method compared to a previous deterministic approach, in terms of the time required to reach the target and the total distance covered by the UAVs. Full article
(This article belongs to the Special Issue 6G Wireless Communication Systems)
Show Figures

Figure 1

Back to TopTop