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Electronics
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Future Generation Wireless Communication
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Future Generation Wireless Communication

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 8668

Special Issue Editors

Dr. Wojciech Sułek

E-Mail Website
Guest Editor
Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, Poland
Interests: wireless communications; mobile networks; 5G; coding theory; error correction codes; LDPC codes
Dr. Fouzia Boukour Elbahhar

E-Mail Website
Guest Editor
Electronic Waves and Signals Laboratory for Transport (LEOST), Gustave Eiffel University, 59650 Villeneuve-d'Ascq, France
Interests: 5G; cognitive radios; wireless communications; indoor localization; transport systems; V2X communication
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Advancements in wireless communication technologies are important drivers of a global revolution, not only enhancing the usage comfort of digital equipment, but changing the way in which societies communicate and interact with their environment. Effective low-cost wireless communication is also a strong driver of business innovation.

The challenges of designing advanced signal processing techniques for the enhanced efficiency of radio spectrum usage are in the mainstream of research in the communications field.

With the development of modern mobile networks and the internet of things (IoT), there are still great challenge for the future B5G/6G wireless communications and other WWAN, WLAN, and WPAN systems to support different use cases and scenarios, including massive connectivity and seamless connection under limited spectrum. To address these challenges, a variety of technologies have emerged and are still being developed, such as massive multiple-input multiple-output, non-orthogonal multiple access, mmWave communications , small cell networks, and satellite communications.

In order to provide heterogeneous services to massive devices, massive connections and diversified applications in the wireless networks, advanced transmission technologies with different features and requirements are desired. This Special Issue is devoted to a broad range of advanced signal processing techniques, designed for the modern and future wireless networks. Novel research articles and review articles are welcomed, specifically on (but not limited to) the topics listed below:

  • MIMO and massive-MIMO;
  • Non-orthogonal multiple access (NOMA);
  • OFDM and enhanced waveforms;
  • Cognitive radio and spectrum sensing;
  • Inter-cell interference coordination (ICIC);
  • Advances in error correction coding;
  • Channel estimation and correction;
  • Circuit design for wireless transmission systems;
  • Physical layer for IoT and massive machine-type communications;
  • Indoor communications;
  • Satellite communications

Dr. Wojciech Sułek
Dr. Fouzia Boukour Elbahhar
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. Electronics 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

  • Physical layer
  • RAN
  • 5G
  • 6G
  • NOMA
  • MIMO
  • OFDM
  • UFMC
  • GFDM
  • FBMC
  • F-OFDM
  • ECC
  • Error correction
  • Channel estimation
  • ICIC
  • IoT

Published Papers (5 papers)

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Research

22 pages, 7295 KiB  
Article
Election of MPR Nodes and Detection of Malicious Nodes Based on a Byzantine Fault in the OLSR Protocol Case of a Scale-Free Network
by Noureddine Idboufker, Souhail Mssassi, Chahid Mohamed Alaoui and Hicham Zougagh
Electronics 2023, 12(16), 3390; https://doi.org/10.3390/electronics12163390 - 9 Aug 2023
Viewed by 848
Abstract
V2X (Vehicle-to-Everything) communications play a crucial role in enabling the efficient and reliable exchange of information among vehicles, infrastructure, and other entities in smart transportation systems. However, the inherent vulnerabilities and dynamic nature of V2X networks present significant challenges for ensuring secure and [...] Read more.
V2X (Vehicle-to-Everything) communications play a crucial role in enabling the efficient and reliable exchange of information among vehicles, infrastructure, and other entities in smart transportation systems. However, the inherent vulnerabilities and dynamic nature of V2X networks present significant challenges for ensuring secure and trustworthy communication. By enhancing the security of the OLSR (Optimized Link State Routing) protocol through secure MultiPoint Relays (MPRs) Selection, this research aims to provide a robust approach that enhances the overall security posture of V2X networks, enabling safe and secure interactions between vehicles and their environment. The proposed method is based on the Byzantine general’s problem, which is the principle used in blockchain. Compared to the classical flooding mechanism, this technique greatly reduces network traffic overhead and improves the efficiency of bandwidth utilization. The results demonstrated that the proposed algorithm performed better than the well-used UM-OLSR implementation. The outcome proved that our MPR election algorithm guarantees a better packet delivery ratio, and it also performs very well in the detection and isolation of malicious nodes, leading to increased security of the OLSR protocol control plane. Full article
(This article belongs to the Special Issue Future Generation Wireless Communication)
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18 pages, 808 KiB  
Article
Vehicle-to-Blockchain (V2B) Communication: Integrating Blockchain into V2X and IoT for Next-Generation Transportation Systems
by Maria Zrikem, Inas Hasnaoui and Rajaa Elassali
Electronics 2023, 12(16), 3377; https://doi.org/10.3390/electronics12163377 - 8 Aug 2023
Cited by 2 | Viewed by 1651
Abstract
As smart transportation systems evolve, secure and efficient V2X communication between vehicles and infrastructure becomes crucial. This paper introduces a Vehicle-to-Blockchain (V2B) communication architecture, leveraging blockchain technology for transparent and decentralized interactions. Our work contributes to the integration of blockchain into V2X and [...] Read more.
As smart transportation systems evolve, secure and efficient V2X communication between vehicles and infrastructure becomes crucial. This paper introduces a Vehicle-to-Blockchain (V2B) communication architecture, leveraging blockchain technology for transparent and decentralized interactions. Our work contributes to the integration of blockchain into V2X and IoT for next-generation transportation systems. We propose several novel blockchain use cases, including a blockchain-based vehicle ownership system based on the multi-token standard, a vehicle scoring system, blockchain–IoT integration, and a decentralized ticket management system for transportation services. The architecture addresses key aspects, such as data integration, validity, and secure messaging, and introduces a decentralized payment system and marketplace for transportation in smart cities. We specifically emphasize the technical implementation of smart contracts for these use cases, underscoring their role in ensuring robust and reliable interactions. Through our decentralized approach, we pave the way for a transformative transportation ecosystem that is adaptable, resilient, and capable of meeting the evolving needs of smart cities. Full article
(This article belongs to the Special Issue Future Generation Wireless Communication)
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19 pages, 484 KiB  
Article
MISO System with Intelligent Reflecting Surface-Assisted Cellular Networks
by Mona Kassem, Hussein Al Haj Hassan, Abbass Nasser, Ali Mansour and Koffi-Clément Yao
Electronics 2023, 12(11), 2370; https://doi.org/10.3390/electronics12112370 - 24 May 2023
Viewed by 1194
Abstract
This paper proposes an architecture based on Intelligent Reflecting Surfaces (IRSs) to improve the performance of future cellular networks. Specifically, we investigate the use of IRSs in combination with statistical Channel State Information (CSI) to enhance the coverage of Base Stations (BSs) in [...] Read more.
This paper proposes an architecture based on Intelligent Reflecting Surfaces (IRSs) to improve the performance of future cellular networks. Specifically, we investigate the use of IRSs in combination with statistical Channel State Information (CSI) to enhance the coverage of Base Stations (BSs) in Multiple-Input Single-Output (MISO) systems. Furthermore, we exploit IRSs to reduce the complexity of the proposed architecture, and therefore the total cost, by reducing the number of required antennas at the transmitters (i.e., BSs). At first, we consider a Rayleigh fading channel between the transmitter and the receiver, and we assume the existence of a Line of Sight (LoS) between the BS and the IRS, as well as between the IRS and the destination. In the second part, we investigate the case of a Single-User Multiple-Input Single-Output (SU-MISO) system, where we study the benefits of IRSs in terms of coverage of the BS; then, we formulate a problem for a Multi-User Multiple-Input Single-Output (MU-MISO) system where the IRS is considered as a block of resources that can assist a certain number of users. The problem of managing the IRS resources is formulated as a nonlinear integer problem. We solve the optimization problem using an exhaustive search and propose two low-complexity heuristic algorithms. The performance of the system is evaluated with respect to a variable number of users, the position of the IRS, the required SNR, and the size of the cell. Simulation results corroborate the proposed approach and show that the introduction of the IRS in the network architecture enhances the overall performance of the network, extends the coverage area, enhances users’ satisfaction, and improves the SNR value, while optimizing the required number of antennas at the BS. Full article
(This article belongs to the Special Issue Future Generation Wireless Communication)
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25 pages, 1248 KiB  
Article
Power Optimization in Multi-Tier Heterogeneous Networks Using Genetic Algorithm
by Anand Gachhadar, Ram Krishna Maharjan, Surendra Shrestha, Nanda Bikram Adhikari, Faizan Qamar, Syed Hussain Ali Kazmi and Quang Ngoc Nguyen
Electronics 2023, 12(8), 1795; https://doi.org/10.3390/electronics12081795 - 10 Apr 2023
Cited by 8 | Viewed by 1538
Abstract
The Internet of Things (IoT) connects numerous sensor nodes and devices, resulting in an increase in the bandwidth and data rates. However, this has led to a surge in data-hungry applications, which consume significant energy at battery-limited IoT nodes, causing rapid battery drainage. [...] Read more.
The Internet of Things (IoT) connects numerous sensor nodes and devices, resulting in an increase in the bandwidth and data rates. However, this has led to a surge in data-hungry applications, which consume significant energy at battery-limited IoT nodes, causing rapid battery drainage. As a result, it is imperative to find a reliable solution that reduces the power consumption. A power optimization model utilizing a modified genetic algorithm is proposed to manage power resources efficiently and reduce high power consumption. In this model, each access point computes the optimal power using the modified genetic algorithm until it meets the fitness criteria and assigns it to each cellular user. Additionally, a weight-based user-scheduling algorithm is proposed to enhance network efficiency. This algorithm considers both the distance and received signal strength indicator (RSSI) to select a user for a specific base station. Furthermore, it assigns appropriate weights for the distance, and the RSSI helps increase the spectral efficiency performance. In this paper, the user-scheduling algorithm was assigned equal weights and combined with the power optimization model to analyze the power consumption and spectral efficiency performance metrics. The results demonstrated that the weight-based user-scheduling algorithm performed better and was supported by the optimal allocation of weights using a modified genetic algorithm. The outcome proved that the optimal allocation of transmission power for users reduced the cellular users’ power consumption and improved the spectral efficiency. Full article
(This article belongs to the Special Issue Future Generation Wireless Communication)
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13 pages, 478 KiB  
Article
Connected Objects Geo-Localization Based on SS-RSRP of 5G Networks
by Ahmed Bannour, Ahmed Harbaoui and Fawaz Alsolami
Electronics 2021, 10(22), 2750; https://doi.org/10.3390/electronics10222750 - 11 Nov 2021
Cited by 6 | Viewed by 2079
Abstract
The Global Positioning System (GPS) is not the only way to solve connected objects’ geo-localization problems; it is also possible to use the mobile network infrastructure to geo-locate objects connected to the network, using antennas and signals designed for voice and data transfer, [...] Read more.
The Global Positioning System (GPS) is not the only way to solve connected objects’ geo-localization problems; it is also possible to use the mobile network infrastructure to geo-locate objects connected to the network, using antennas and signals designed for voice and data transfer, such as the 5th generation network. 5G is considered as a least expensive solution because there is no specific equipment to set up. As long as the object is in an area covered by the network, it connects to the nearest 5G Micro-Cell (MC). Through exchange of signals with the MC node we can locate the object. Currently, this location is very fast with less than 5 s but not very precise because it depends on the number of MC antennas of the operator in question and their distance. This paper presents a novel technique to geo-locate connected object in a covered 5G area. We exploit the 5G SS-RSRP used for signal quality measurement, to estimate the distance between two Connected Objects (COs) in move and in a dense urban area. The overall goal is to present a new concept laying on the 5G SS-RSRP signalling. The proposed solution takes into consideration the Deterministic and the Stochastic effect of the received signals which is not treated by the previous works. The accuracy is optimum even after approaching to the distance of one meter which is not reached in previous works too. Our method can also be deployed in the upcoming 5G network since it relies on 5G signals itself. This work and that of Wang are both based on RSRP and give comparable theoretical complexities therefore comparable theoretical execution times as well. However, to obtain a reliable learning Wang requires a huge amount of data which makes it difficult to get a real time aspect of this algorithm. The use of RSRP and the elimination of the learning phase will give more chance to our work to achieve desired performances. Numerical results show the appropriateness of the proposed algorithms and good location accuracy of around one meter. The Cramer Rao Lower Bound derivations shows the robustness of the proposed estimator and consolidate the work. Full article
(This article belongs to the Special Issue Future Generation Wireless Communication)
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