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Advances in 5G Wireless Communication Networks: The Path to 6G
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Advances in 5G Wireless Communication Networks: The Path to 6G

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

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 3875

Special Issue Editor

Dr. Nikos Passas

E-Mail Website
Guest Editor
Dept. of Informatics and Telecommunications, University of Athens, Athens, Greece
Interests: mobile communications

Special Issue Information

Dear Colleagues,

5G mobile network deployments are currently ongoing worldwide, while research and standardization continues to improve certain 5G features and limitations. Current standardization efforts for 3GPP release 18 (5G-Advanced) represents a major evolution in 5G, including enhancements in the areas of Artificial Intelligence and extended reality, which will enable highly intelligent network solutions that can support a wider variety of use cases than ever before. Based on previous knowledge and current trends, a new mobile network generation (6G) is expected around 2030, to address the new and evolving communication requirements of a fast-moving world. 6G is expected to include improved radio technologies probably at higher frequencies, enhanced Artificial Intelligence (AI) and machine learning (ML) techniques, expanded Internet of Things (IoT) networks, etc. Recent discussions refer to the path towards 6G as an evolution of 5G, proposing different approaches. This Special Issue aims at including a set of papers that identify these approaches, providing a fruitful field for thinking and debating.

Special Issue topics include but are not limited to:

  • Radio transmissions at very high frequencies;
  • Spectrum sharing;
  • Enhanced mobility support;
  • AI and ML towards 6G;
  • RAN and network management;
  • Ultra-reliable, low-latency communications;
  • Beamforming and MIMO advancements;
  • Advanced network designs for edge and cloud computing;
  • Enhancements for extended reality.

Dr. Nikos Passas
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. 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.

Keywords

  • 5G-advanced
  • 6G
  • AI
  • ML
  • cloud/edge computing
  • URLLC

Published Papers (2 papers)

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Research

24 pages, 6393 KiB  
Article
A Hybrid Route Selection Scheme for 5G Network Scenarios: An Experimental Approach
by Mohammad Kazem Chamran, Kok-Lim Alvin Yau, Mee Hong Ling and Yung-Wey Chong
Sensors 2022, 22(16), 6021; https://doi.org/10.3390/s22166021 - 12 Aug 2022
Cited by 2 | Viewed by 1552
Abstract
With the significant rise in demand for network utilization, such as data transmission and device-to-device (D2D) communication, fifth-generation (5G) networks have been proposed to fill the demand. Deploying 5G enhances the utilization of network channels and allows users to exploit licensed channels in [...] Read more.
With the significant rise in demand for network utilization, such as data transmission and device-to-device (D2D) communication, fifth-generation (5G) networks have been proposed to fill the demand. Deploying 5G enhances the utilization of network channels and allows users to exploit licensed channels in the absence of primary users (PUs). In this paper, a hybrid route selection mechanism is proposed, and it allows the central controller (CC) to evaluate the route map proactively in a centralized manner for source nodes. In contrast, source nodes are enabled to make their own decisions reactively and select a route in a distributed manner. D2D communication is preferred, which helps networks to offload traffic from the control plane to the data plane. In addition to the theoretical analysis, a real testbed was set up for the proof of concept; it was composed of eleven nodes with independent processing units. Experiment results showed improvements in traffic offloading, higher utilization of network channels, and a lower interference level between primary and secondary users. Packet delivery ratio and end-to-end delay were affected due to a higher number of intermediate nodes and the dynamicity of PU activities. Full article
(This article belongs to the Special Issue Advances in 5G Wireless Communication Networks: The Path to 6G)
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14 pages, 2053 KiB  
Article
Resource Allocation and Sharing Methodologies When Reconfigurable Intelligent Surfaces Meet Multiple Base Stations
by Yoghitha Ramamoorthi, Riku Ohmiya, Masashi Iwabuchi, Tomoaki Ogawa and Yasushi Takatori
Sensors 2022, 22(15), 5619; https://doi.org/10.3390/s22155619 - 27 Jul 2022
Viewed by 1742
Abstract
The 6G wireless systems are expected to have higher capacity, reliability, and energy efficiency than the existing cellular systems. Millimeter-wave (mmWave) frequencies offer high capacity at the cost of high attenuation and blockage losses. Reconfigurable intelligent surface (RIS) assisted mmWave networks consist of [...] Read more.
The 6G wireless systems are expected to have higher capacity, reliability, and energy efficiency than the existing cellular systems. Millimeter-wave (mmWave) frequencies offer high capacity at the cost of high attenuation and blockage losses. Reconfigurable intelligent surface (RIS) assisted mmWave networks consist of smaller antenna elements that control the propagation channel between the base station (BS) and the user by appropriately tuning the phase and the reflection of the incident electromagnetic signal. The deployment of RIS is considered to be an energy efficient solution to improve the coverage of regions with high blocking probability. However, if every BS is associated with one or more dedicated RIS, then the density of RIS increases proportionally with the density of BSs. Hence in this work, we propose RIS sharing mechanisms where multiple BSs share one RIS. We formulate resource allocation of RIS sharing in terms of time and the RIS elements as an optimization problem, and we propose heuristics to solve both. Further, we present detailed simulation results to compare time and the element based RIS sharing methods for various scenarios with the benchmark and the RIS system without sharing. The proposed time and element based RIS sharing methods improve throughput upto 53% and 25%, respectively, compared to the RIS system without sharing in specific scenarios. Full article
(This article belongs to the Special Issue Advances in 5G Wireless Communication Networks: The Path to 6G)
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