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Electronics
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Advances in Future Wireless Networks
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Advances in Future Wireless Networks

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

Deadline for manuscript submissions: 31 October 2024 | Viewed by 1357

Special Issue Editor

Dr. Eneko Iradier

E-Mail Website
Guest Editor
Department of Computer Languages and Systems, University of the Basque Country, 48013 Bilbao, Spain
Interests: physical layer of communication systems; wireless solutions for Industry 4.0; full-duplex communications; artificial intelligence

Special Issue Information

Dear Colleagues,

Wireless communications systems constantly evolve to deliver new services and satisfy users’ demands. Their application in new areas (e.g., augmented/virtual reality, 4k/8k video content, multi-view/point clouds, and connected cars) requires the considerable improvement of several of their KPIs, such as capacity, throughput, energy consumption, and latency. In addition, these new use cases are typically related to highly demanding social events such as ultra-dense environments or crowded sportive/cultural events, where up-to-date solutions cannot guarantee full coverage and access to the service. With the development of modern mobile networks and the Internet of Things (IoT), there are still great challenges for future B5G/6G wireless communications and other WWAN, WLAN, and WPAN systems in terms supporting different use cases and scenarios, including massive connectivity and seamless connection under a limited spectrum. To address these challenges, a variety of technologies have emerged and are still being developed.

This Special Issue is devoted to a broad range of advanced signal processing techniques, designed for modern and future wireless networks. Novel research articles and review articles are welcomed, and specifically those on (but not limited to) the topics listed below:

  • Non-orthogonal multiple access;
  • Small cell networks;
  • Massive multiple-input multiple-output systems;
  • MIMO and massive MIMO;
  • New waveforms for mmWave frequency bands;
  • Physical-layer-level service convergence;
  • Future physical layer designs for 6G;
  • High-efficiency channel coding;
  • Cognitive radio and spectrum sensing;
  • Indoor communications;
  • Circuit design for wireless transmission systems.

Dr. Eneko Iradier
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. 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

  • waveforms
  • full-duplex
  • AI-aided PHY
  • energy efficiency
  • convergence
  • coding
  • mmWave

Published Papers (2 papers)

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Research

20 pages, 810 KiB  
Article
Energy Efficient Wireless Signal Detection: A Revisit through the Lens of Approximate Computing
by Abhinav Kulkarni, Messaoud Ahmed Ouameur and Daniel Massicotte
Electronics 2024, 13(7), 1274; https://doi.org/10.3390/electronics13071274 - 29 Mar 2024
Viewed by 502
Abstract
In the pursuit of energy efficiency in next-generation communication systems, approximate computing is emerging as a promising technique. In the proposed work, efforts are made to address the challenge of bridging the gap between the level of approximation and the Quality-of-Service (QoS) of [...] Read more.
In the pursuit of energy efficiency in next-generation communication systems, approximate computing is emerging as a promising technique. In the proposed work, efforts are made to address the challenge of bridging the gap between the level of approximation and the Quality-of-Service (QoS) of the system. The application of approximate multiplication to wireless signal detection is explored systematically, illustrated by employing Truncated Multiplication (TM) on Quadrature Phase Shift Keying (QPSK) Minimum Mean Square Error (MMSE) detection. The irregularities induced by approximation in the multiplication operation employed in wireless signal detection are captured by the Approximate Multiplication Noise (AMN) model, which aids in the analysis of signal fidelity and resiliency of the system. The energy efficiency gains through approximation are highlighted in the approximation analysis. Signal fidelity analysis provides the capability to predict system output for varying levels of approximation, which aids in improving the stability of the system. The higher approximation levels are advantageous in low Signal-to-Noise Ratio (SNR) regimes, whereas lower approximation levels prove beneficial in high SNR regimes. Full article
(This article belongs to the Special Issue Advances in Future Wireless Networks)
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18 pages, 541 KiB  
Article
Energy-Efficient RIS-Enabled SISO-OFDMA Communication via Lower Bound Optimization
by Samaneh Bidabadi, Messaoud Ahmed Ouameur, Miloud Bagaa and Daniel Massicotte
Electronics 2024, 13(6), 1040; https://doi.org/10.3390/electronics13061040 - 11 Mar 2024
Viewed by 512
Abstract
The pursuit of energy-efficient solutions in the context of reconfigurable intelligent surface (RIS)-assisted wireless networks has become imperative and transformative. This paper investigates the integration of RIS into an orthogonal frequency-division multiple access (OFDMA) framework for multi-user downlink communication systems. We address the [...] Read more.
The pursuit of energy-efficient solutions in the context of reconfigurable intelligent surface (RIS)-assisted wireless networks has become imperative and transformative. This paper investigates the integration of RIS into an orthogonal frequency-division multiple access (OFDMA) framework for multi-user downlink communication systems. We address the challenge of jointly optimizing RIS reflection coefficients alongside OFDMA frequency and power allocations, with the aim of maximizing energy efficiency. This optimization is subject to specific quality-of-service (QoS) requirements for each user equipment (UE) and a constraint on transmission power and the RIS phase shift matrix. To address this complex optimization problem, we propose a novel practical and low-complexity approach that is based on optimizing a computationally efficient and numerically tractable lower bound on energy efficiency. The numerical results highlight the effectiveness of our approach, demonstrating a substantial increase in energy efficiency compared to scenarios without RIS, with random RIS integration, and with the scheme using the Genetic Algorithm (GA). Full article
(This article belongs to the Special Issue Advances in Future Wireless Networks)
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