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Recent Challenges and Solutions in Wireless Communication Engineering

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: closed (1 July 2023) | Viewed by 4889

Special Issue Editors


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Guest Editor
1. Department of Electrical Engineering, Tshwane University of Technology, Pretoria 0001, South Africa
2. Department of Electrical and Electronics Engineering, The Federal University of Technology, Akure, Ondo State, Nigeria
Interests: communication security; wireless sensor network; IoT; instrumentation and electromagnetic compatibility

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Guest Editor
Council for Scientific and Industrial Research, Pretoria 0184, South Africa
Interests: Internet of Things; wireless sensor networks; software-defined networking; low-power wide area networks; network security

Special Issue Information

Dear Colleagues,

The growing demand for extremely high-data-rate services, together with the emerging Internet of Things (IoT), brings new technical challenges to wireless communications. While accommodating fast-growing enhanced multimedia services, future wireless systems need to simultaneously support the communication demands of massive IoT devices. IoT applications need wireless communications for various linked devices that are extremely reliable, low-latency, and energy-efficient. Future wireless communication systems should use novel network structures, spectrum access plans, and resource allocation strategies while taking energy efficiency and security into account to support a universal and pervasive cyber-physical infrastructure for a wide range of applications. In recent years, IoT has emerged as one of the enabling wireless technologies and has been deployed in different areas of engineering. Since an IoT-based system would consist of potentially millions of nodes using wireless technologies to communicate, they have more security risks and are prone to numerous cyber attacks due to the open nature of wireless media. One of the most perilous threats on the internet is the Denial of Service (DoS) attack. It has been reported that there will be more than 17 million DoS attacks carried out by 2022. However, once the source of the attack is determined, it is easy to defend the system by blocking the traffic coming from the attacking site. Furthermore, antennas are fundamental elements in wireless communications. Research into ultra-wideband antenna designs for wireless applications has been increasing due to their potential to cover large frequency bands. Additionally, the modern-day advancement in multimedia applications requires that the devices used in wireless communication be more sensitive, compact in size, low in price, and simpler. The demand for higher data rate communication, saturation of the frequency spectrum and low power consumption are some of the reasons why ultra-wideband has been of increased research interest over the past few years. Unfortunately, the UWB system covers an extremely wide band of 3.1 to 10.6 GHz for both indoor and outdoor handheld applications, which is being used by some other narrowband applications. Consequently, interference from other narrowband applications within the frequency spectrum in the UWB system is a crucial issue to tackle. This Special Issue seeks cutting-edge, high-quality research papers that describe practical and theoretical solutions to wireless communication systems and network security. Potential topics include but are not limited to:

  • Internet of things and Industrial IoT;
  • Attack detection and mitigation in IoT system;
  • UWB patch antenna design and analysis;
  • Energy efficiency optimization in wireless sensors networks;
  • Dynamic spectrum allocation and resource optimization;
  • Wireless access technologies;
  • Interference management for 5G and future wireless technologies;
  • Security enhancement for future wireless technologies;
  • Dependability and resilience in wireless networks;
  • Multiuser and mm-wave MIMO;
  • AI for wireless sensing;
  • Machine learning algorithms and implementation over wireless communication networks;
  • AI for physical layer security;
  • AI and machine learning for congestion control;
  • Intelligent network visualization and software defined networking;
  • Semantic communications for the metaverse;
  • Integrated sensing and communication for 6G.

Dr. Kazeem Bolade B. Adedeji
Prof. Dr. Adnan M. Abu-Mahfouz
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. Applied Sciences 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 2400 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

  • energy efficiency
  • IoT
  • multimedia service
  • security
  • UWB
  • wireless system

Published Papers (3 papers)

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Research

18 pages, 36457 KiB  
Article
A Field Communication System for Volunteer Urban Search and Rescue Teams Combining 802.11ax and LoRaWAN
by Athanasios Douklias, Aris Dadoukis, Spyros Athanasiadis and Angelos Amditis
Appl. Sci. 2023, 13(10), 6118; https://doi.org/10.3390/app13106118 - 16 May 2023
Viewed by 1310
Abstract
Despite the technological progress achieved by our society, natural or man-made disasters continue to pose a challenge and put to the test the organization and preparedness of government apparatuses. The loss of life and property following calamities motivates citizens into action. In response, [...] Read more.
Despite the technological progress achieved by our society, natural or man-made disasters continue to pose a challenge and put to the test the organization and preparedness of government apparatuses. The loss of life and property following calamities motivates citizens into action. In response, volunteer Urban Search And Rescue (USAR) organizations are established with the aim of providing help when needed. Just like their government funded and run counterparts, these organizations try to use what technology has to offer to improve their efficiency. However, they face challenges due to their limited funding and inability to access certain resources such as licensed spectrum for their communications. This situation is further deteriorated because civilian communication infrastructure cannot be relied upon to be available in case of disasters. Communications are paramount for any operation, let alone USAR. To address this need, we have designed and built a field deployable communication system that is able to leverage what existing communication infrastructure is available and utilizes 802.11ax and LoRaWAN that operate in unlicensed spectrum to provide wireless local connectivity. The performance and suitability of the system have been tested in various small and large-scale exercises, while the range and transmission speed achieved by 802.11ax over its predecessors are determined through a measurement campaign. In this article, we report the results and lessons learned from our approach to fill this communication gap and the suitability of the selected technologies for the role. Full article
(This article belongs to the Special Issue Recent Challenges and Solutions in Wireless Communication Engineering)
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18 pages, 6024 KiB  
Article
Deep Learning-Assisted Transmit Antenna Classifiers for Fully Generalized Spatial Modulation: Online Efficiency Replaces Offline Complexity
by Hindavi Kishor Jadhav and Vinoth Babu Kumaravelu
Appl. Sci. 2023, 13(8), 5134; https://doi.org/10.3390/app13085134 - 20 Apr 2023
Cited by 2 | Viewed by 1364
Abstract
In this work, deep learning (DL)-based transmit antenna selection (TAS) strategies are employed to enhance the average bit error rate (ABER) and energy efficiency (EE) performance of a spectrally efficient fully generalized spatial modulation (FGSM) scheme. The Euclidean distance-based antenna selection (EDAS), a [...] Read more.
In this work, deep learning (DL)-based transmit antenna selection (TAS) strategies are employed to enhance the average bit error rate (ABER) and energy efficiency (EE) performance of a spectrally efficient fully generalized spatial modulation (FGSM) scheme. The Euclidean distance-based antenna selection (EDAS), a frequently employed TAS technique, has a high search complexity but offers optimal ABER performance. To address TAS with minimal complexity, we present DL-based approaches that reframe the traditional TAS problem as a classification learning problem. To reduce the energy consumption and latency of the system, we presented three DL architectures in this study, namely a feed-forward neural network (FNN), a recurrent neural network (RNN), and a 1D convolutional neural network (CNN). The proposed system can efficiently process and make predictions based on the new data with minimal latency, as DL-based modeling is a one-time procedure. In addition, the performance of the proposed DL strategies is compared to two other popular machine learning methods: support vector machine (SVM) and K-nearest neighbor (KNN). While comparing DL architectures with SVM on the same dataset, it is seen that the proposed FNN architecture offers a ~3.15% accuracy boost. The proposed FNN architecture achieves an improved signal-to-noise ratio (SNR) gain of ~2.2 dB over FGSM without TAS (FGSM-WTAS). All proposed DL techniques outperform FGSM-WTAS. Full article
(This article belongs to the Special Issue Recent Challenges and Solutions in Wireless Communication Engineering)
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18 pages, 7714 KiB  
Article
Mutual Coupling Effect and Reduction Method with Modified Electromagnetic Band Gap in UWB MIMO Antenna
by Gabriel A. Fadehan, Yekeen O. Olasoji and Kazeem B. Adedeji
Appl. Sci. 2022, 12(23), 12358; https://doi.org/10.3390/app122312358 - 2 Dec 2022
Cited by 9 | Viewed by 1513
Abstract
In this paper, an effective technique for mutual coupling (MC) reduction between antenna elements of two multiple input multiple output (MIMO) microstrip patch antennas operating in the ultra-wide band (UWB) between 3.1 and 13.5 GHz is presented. The antenna array separation was kept [...] Read more.
In this paper, an effective technique for mutual coupling (MC) reduction between antenna elements of two multiple input multiple output (MIMO) microstrip patch antennas operating in the ultra-wide band (UWB) between 3.1 and 13.5 GHz is presented. The antenna array separation was kept at 44 mm for investigation, and the isolation was achieved through a modified electromagnetic band gap (MEBG) decoupling structure. The MEBG is embedded behind the radiating elements connected to the ground plane. HFSSv15 software was used to design and simulate the antenna. The effectiveness of the antenna and the MC reduction method was examined with and without the MEBG structure. The results revealed that the MC between the MIMO antenna elements was minimized when the MEBG structure was introduced. An MC of about −23 dB was obtained over the entire UWB frequency spectrum. This is more than a 10 dB improvement over the reference antenna (without the MEBG structure). Without limiting the effectiveness of the antenna when the MEBG structure was introduced, the results of the envelope correlation coefficient (ECC) gave the antenna a satisfactory diversity performance. The MEBG UWB MIMO antenna has an ECC less than 0.09 with a wide bandwidth. In addition, the total gain and the Voltage Standing Ware Ratio (VSWR) results were analyzed, which show that the performance of the antenna was not degraded while reducing the MC effect between the MIMO antenna elements. Full article
(This article belongs to the Special Issue Recent Challenges and Solutions in Wireless Communication Engineering)
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