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Wireless Communication: Applications, Challenges and Opportunities

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 (20 February 2024) | Viewed by 978

Special Issue Editor


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Guest Editor
Department of Electronic Engineering, National Ilan University, Yilan 260007, Taiwan
Interests: cellular networsk; Internet of Things

Special Issue Information

Dear Colleagues,

Wireless and mobile communications have played a transformative role in recent decades. The rapid pace of technological innovation in these areas has allowed the realization of scenarios that were deemed impossible just a few years ago. As we move forward, however, a plethora of captivating challenges and opportunities emerge. These challenges call for the ingenious integration of emerging technologies, encompassing machine learning, satellites and other non-terrestrial platforms, extremely-high-frequency bands, efficient resource allocation strategies, and IC manufacturing of communication components, to meet the ever-increasing bandwidth requirement and the SDG goals set forth by the United Nations. This Special Issue invites scholars and practitioners to contribute their ideas and research findings that address these challenges and open up new opportunities.

This Special Issue seeks to publish original, high-quality research papers spanning diverse areas, including, but not limited to, the following topics:

  • AI and machine learning for wireless and mobile communications.
  • Wireless sensor networks and Internet of Things.
  • Cyber security measures for wireless networks.
  • Novel applications in the realm of wireless and mobile communications.
  • Latency mitigation in mission-critical applications.
  • Eco-friendly wireless and mobile communications.
  • Cloud and edge computing for advancing wireless and mobile communications.
  • Integration strategies for terrestrial and non-terrestrial communication platforms.
  • Efficient radio resource allocation strategies to achieve distinct performance objectives.
  • Evolutionary pathways and orchestration techniques for diverse wireless and mobile communication methods.

Prof. Dr. Hwang-Cheng Wang
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. 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

  • wireless and mobile communications
  • artificial intelligence, machine learning, and deep learning
  • cyber security
  • wireless sensor networks
  • cloud and edge computing
  • software-defined radio
  • sustainable development goals (SDGs)
  • resource allocation
  • wireless broadband
  • non-terrestrial networks

Published Papers (1 paper)

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Research

13 pages, 1458 KiB  
Article
Hybrid Precoding Design for Wireless Fading Channels
by Bangwon Seo
Appl. Sci. 2024, 14(5), 1883; https://doi.org/10.3390/app14051883 - 25 Feb 2024
Viewed by 544
Abstract
Precoding techniques are widely used to eliminate interference between multiple user signals in a wireless fading channel environment. The linear MMSE precoding technique, one of the most widely used techniques so far, has low computational complexity but has the disadvantage of relatively poor [...] Read more.
Precoding techniques are widely used to eliminate interference between multiple user signals in a wireless fading channel environment. The linear MMSE precoding technique, one of the most widely used techniques so far, has low computational complexity but has the disadvantage of relatively poor symbol error rate (SER) performance. The symbol-level precoding (SLP) technique, on which much research has been conducted recently, has excellent SER performance but has the disadvantage of being too computationally complex. In this paper, we propose a hybrid precoding technique that simultaneously applies SLP and MMSE precoding to appropriately adjust SER performance and computational complexity performance. If two different types of precoding techniques are applied simultaneously, interference may occur between signals to which different types of precoding are applied, which can significantly deteriorate SER performance. Therefore, in this paper, precoding is designed to prevent interference between the two signals using the null space of the channel matrices. Through computer simulation, the proposed scheme showed that its SER performance was superior to that of the linear MMSE scheme, and the computational complexity was much lower than that of the SLP scheme. Full article
(This article belongs to the Special Issue Wireless Communication: Applications, Challenges and Opportunities)
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