Advances in Telecommunication Networks and Wireless Technology

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Processes".

Deadline for manuscript submissions: closed (1 April 2024) | Viewed by 4330

Special Issue Editors


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Guest Editor
Applied Physics Laboratory (APL) and the Electrical and Computer Engineering Department, Johns Hopkins University, Baltimore, MD 21205, USA
Interests: complex radar systems, reconfigurable intelligent surfaces-assisted networks; ML/federated learning in wireless systems; massive MIMO; mmWave communication networks; brain–machine interface; dynamic spectrum sharing; quantum communication; multichannel communication; wireless power transfer systems

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Guest Editor
1. Department of Electrical and Electronics Engineering, Faculty of Engineering, University of Lagos, Akoka, Lagos 100213, Nigeria
2. Department of Electrical Engineering and Information Technology, Ruhr University, 44801 Bochum, Germany
Interests: 6G wireless communication systems; cell-free massive MIMO systems; energy-efficient wireless systems; channel modeling; artificial intelligence; wireless security systems; chaotic communication; sustainable communication; telecommunication networks
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As billions of intelligent devices are rapidly connected in modern telecommunication networks, resulting in unprecedented wireless possibilities, critically examining the different wireless technologies facilitating these interconnections is becoming imperative. The enabling technologies, such as cell-free massive MIMO, reconfigurable intelligent surfaces, artificial intelligence, quantum computing, and others, for beyond 5G telecommunication networks are critically examined. This Special Issue calls for original contributions to designing and developing advanced wireless technologies to facilitate secure, low-latency, highly reliable, and energy-efficient telecommunication networks. The topics of interest include, but are not limited to, the following:

  • Legacy telecommunication networks and infrastructure.
  • New telecommunication standards and protocols for advanced wireless systems.
  • Spectrum and radio resource management in telecommunication networks.
  • Wireless technology in entertainment, academia, industries, healthcare delivery, etc.
  • Advanced quantum computing for 6G wireless systems.
  • mmWave and Terahertz communication systems and networks.
  • New architectures for massive data transmission beyond 5G networks.
  • Cell-free massive MIMO technology enabling future wireless systems.
  • Reconfigurable Intelligent Surfaces empowering telecommunication systems.
  • Artificial Intelligence-enabled low-latency and highly reliable wireless systems.
  • Application of Federated learning in telecommunication networks.
  • Uncrewed Aerial Vehicle-enabling telecommunication networks deployment.
  • Extended realities and digital twins enabling 6G wireless systems.
  • Measurements and channel modeling in advanced telecommunication networks.
  • Energy-efficient propagation channel models for advanced wireless systems.
  • Design and implementation of intelligent wireless devices using metamaterials.
  • Integration of massive devices toward reducing carbon footprint in wireless networks.
  • Quantum computing in telecommunication networks.
  • Wireless power transfer systems in telecommunication networks.
  • Security and privacy schemes for advanced telecommunication networks.
  • High-speed and low-complexity signal processing techniques for future wireless systems.
  • Economic policies and government regulations on emerging wireless systems.
  • Recommendations for designing future wireless systems.
  • Recent trends, open issues, and advances in wireless technology.

This Special Issue will provide novel contributions that will drive cutting-edge research to develop advanced, reliable, and energy-efficient telecommunication networks. Quality submissions from academia and industry are highly welcome.

Dr. Webert Montlouis
Dr. Agbotiname Lucky Imoize
Prof. Dr. Cheng-Chi Lee
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. Information is an international peer-reviewed open access monthly 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

  • wireless technology
  • telecommunication networks
  • 6G wireless communication
  • cell-free massive MIMO
  • reconfigurable intelligent surfaces
  • Artificial Intelligence
  • energy-efficient wireless systems
  • uncrewed aerial vehicles
  • security and privacy
  • ultra-low latency communication
  • ubiquitous connectivity
  • spectrum and radio resource management
  • advanced quantum computing
  • advanced signal processing techniques

Published Papers (3 papers)

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Research

12 pages, 421 KiB  
Article
Control of Telecommunication Network Parameters under Conditions of Uncertainty of the Impact of Destabilizing Factors
by Valerii Kozlovskyi, Ivan Shvets, Yurii Lysetskyi, Mikolaj Karpinski, Aigul Shaikhanova and Gulmira Shangytbayeva
Information 2024, 15(2), 69; https://doi.org/10.3390/info15020069 - 23 Jan 2024
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Abstract
The classification of the natural and anthropogenic destabilizing factors of a telecommunications network as a complex system is presented herein. This research shows that to evaluate the parameters of a telecommunications network in the presence of destabilizing factors, it is necessary to modify [...] Read more.
The classification of the natural and anthropogenic destabilizing factors of a telecommunications network as a complex system is presented herein. This research shows that to evaluate the parameters of a telecommunications network in the presence of destabilizing factors, it is necessary to modify classical linear methods to reduce their sensitivity to the incompleteness of a priori information. Using generalized linear models of multiple regression, a combined method was developed for assessing and predicting the survivability of a telecommunications network under conditions of uncertainty regarding the influence of destabilizing factors. The method consists of accumulating current information about the parameters and state of the network, the statistical analysis and processing of information, and the extraction of sufficient sample statistics. The basis of the developed method was balancing multiple correlation–regression analysis with the number of regression equations and the observed results. Various methods of estimating the mathematical expectation and correlation matrix of the observed results under the conditions of random loss of part of the observed data (for example, removing incomplete sample elements, substituting the average, pairwise crossing out, and substituting the regression) were analyzed. It was established that a shift in the obtained estimates takes place under the conditions of a priori uncertainty of the statistics of the observed data. Given these circumstances, recommendations are given for the correct removal of sample elements and variables with missing values. It is shown that with significant unsteadiness of the parameters and state of the network under study and a noticeable imbalance in the number of regression equations and observed results, it is advisable to use stepwise regression methods. Full article
(This article belongs to the Special Issue Advances in Telecommunication Networks and Wireless Technology)
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22 pages, 5833 KiB  
Article
Software Platform for the Comprehensive Testing of Transmission Protocols Developed in GNU Radio
by Mihai Petru Stef and Zsolt Alfred Polgar
Information 2024, 15(1), 62; https://doi.org/10.3390/info15010062 - 20 Jan 2024
Viewed by 1302
Abstract
With the constant growth of software-defined radio (SDR) technologies in fields related to wireless communications, the need for efficient ways of testing and evaluating the physical-layer (PHY) protocols developed for these technologies in real-life traffic scenarios has become more critical. This paper proposes [...] Read more.
With the constant growth of software-defined radio (SDR) technologies in fields related to wireless communications, the need for efficient ways of testing and evaluating the physical-layer (PHY) protocols developed for these technologies in real-life traffic scenarios has become more critical. This paper proposes a software testbed that enhances the creation of network environments that allow GNU radio applications to be fed with test traffic in a simple way and through an interoperable interface. This makes the use of any traffic generator possible—existing ones or one that is custom-built—to evaluate a GNU radio application. In addition, this paper proposes an efficient way to collect PHY-specific monitoring data to improve the performance of the critical components of the message delivery path by employing the protocol buffers library. This study considers the entire testing and evaluation ecosystem and demonstrates how PHY-specific monitoring information is collected, handled, stored, and processed as time series to allow complex visualization and real-time monitoring. Full article
(This article belongs to the Special Issue Advances in Telecommunication Networks and Wireless Technology)
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19 pages, 1754 KiB  
Article
A Fair Energy Allocation Algorithm for IRS-Assisted Cognitive MISO Wireless-Powered Networks
by Chuanzhe Gao, Shidang Li, Mingsheng Wei, Siyi Duan and Jinsong Xu
Information 2024, 15(1), 49; https://doi.org/10.3390/info15010049 - 16 Jan 2024
Viewed by 1229
Abstract
With the rapid development of wireless communication networks and Internet of Things technology (IoT), higher requirements have been put forward for spectrum resource utilization and system performance. In order to further improve the utilization of spectrum resources and system performance, this paper proposes [...] Read more.
With the rapid development of wireless communication networks and Internet of Things technology (IoT), higher requirements have been put forward for spectrum resource utilization and system performance. In order to further improve the utilization of spectrum resources and system performance, this paper proposes an intelligent reflecting surface (IRS)-assisted fair energy allocation algorithm for cognitive multiple-input single-output (MISO) wireless-powered networks. The goal of this paper is to maximize the minimum energy receiving power in the energy receiver, which is constrained by the signal-to-interference-plus-noise ratio (SINR) threshold of the information receiver in the secondary network, the maximum transmission power at the cognitive base station (CBS), and the interference power threshold of the secondary network on the main network. Due to the coupling between variables, this paper uses iterative optimization algorithms to optimize and solve different variables. That is, when solving the active beamforming variables, the passive beamforming variables are fixed; then, the obtained active beamforming variables are fixed, and the passive beamforming variables are solved. Through continuous iterative optimization, the system converges. The simulation results have verified the effectiveness of the proposed algorithm. Full article
(This article belongs to the Special Issue Advances in Telecommunication Networks and Wireless Technology)
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