Special Issue "Innovative Technologies in Telecommunication"

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

Deadline for manuscript submissions: 31 January 2021.

Special Issue Editor

Prof. Dr. Seung-Hoon Hwang

Guest Editor
Div. of Electronics and Electrical Eng., Dongguk University, Seoul, Korea
Interests: wireless communication (5G/6G); internet of things (V2X, Positioning), spectrum engineering, optical wireless communication

Special Issue Information

Dear Colleagues,

5G wireless communication will become a core infrastructure for the fourth industrial revolution (4IR). One of the major objectives of 5G is to meet projected mobile traffic demand and to holistically address the communications needs of most sectors of the economy, including the automotive, manufacturing, media, retail, and consumer sectors. Therefore, innovations in telecommunication with 4IR drive new research opportunities in a variety of areas including artificial intelligence (AI), cloud computing, big data, Internet of Things (IoT), and mobile communications. In this Special Issue, we are particularly interested in describing, defining, and quantifying the potential problems in telecommunications and looking for innovative solutions, prototypes, and demonstrators which may be applied in economic sectors.

Topics of interests include but not limited to:

AI technologies such as machine/deep learning in telecommunication

IoT technologies such as cars, robots, drones, and wearable devices in telecommunication

5G/6G technologies for eMBB, URLLC, and mMTC in telecommunication

Positioning technologies in telecommunication

Spectrum-efficient technologies in telecommunication

Prof. Dr. Seung-Hoon Hwang
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 papers will be 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 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 1400 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.

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Open AccessArticle
Joint Scheduling and Power Allocation Using Non-Orthogonal Multiple Access in Multi-Cell Beamforming Networks
Electronics 2020, 9(6), 896; https://doi.org/10.3390/electronics9060896 - 28 May 2020
Abstract
The proliferation of smart devices has boosted the improvement of wireless network technologies. Herein, networking functions should be properly guaranteed even in highly dense environments in terms of service quality and data rate. In this paper, we present an efficient power allocation algorithm [...] Read more.
The proliferation of smart devices has boosted the improvement of wireless network technologies. Herein, networking functions should be properly guaranteed even in highly dense environments in terms of service quality and data rate. In this paper, we present an efficient power allocation algorithm using non-orthogonal multiple access and smart array antennas to increase the capacity in highly overlapped multi-cell environments. We evaluate the proposed algorithm and compare with the conventional orthogonal multiple access scheme with smart antennas. Through intensive simulations and experiments at the system level for performance evaluations, it is confirmed that the proposed scheme obtains a drastic throughput gain up to 50% in the overlapped region of highly dense networks. Full article
(This article belongs to the Special Issue Innovative Technologies in Telecommunication)
Open AccessFeature PaperArticle
Improved RSSI-Based Data Augmentation Technique for Fingerprint Indoor Localisation
Electronics 2020, 9(5), 851; https://doi.org/10.3390/electronics9050851 - 21 May 2020
Abstract
Recently, deep-learning-based indoor localisation systems have attracted attention owing to their higher performance compared with traditional indoor localization systems. However, to achieve satisfactory performance, the former systems require large amounts of data to train deep learning models. Since obtaining the data is usually [...] Read more.
Recently, deep-learning-based indoor localisation systems have attracted attention owing to their higher performance compared with traditional indoor localization systems. However, to achieve satisfactory performance, the former systems require large amounts of data to train deep learning models. Since obtaining the data is usually a tedious task, this requirement deters the use of deep learning approaches. To address this problem, we propose an improved data augmentation technique based on received signal strength indication (RSSI) values for fingerprint indoor positioning systems. The technique is implemented using available RSSI values at one reference point, and unlike existing techniques, it mimics the constantly varying RSSI signals. With this technique, the proposed method achieves a test accuracy of 95.26% in the laboratory simulation and 94.59% in a real-time environment, and the average location error is as low as 1.45 and 1.60 m, respectively. The method exhibits higher performance compared with an existing augmentation method. In particular, the data augmentation technique can be applied irrespective of the positioning algorithm used. Full article
(This article belongs to the Special Issue Innovative Technologies in Telecommunication)
Show Figures

Figure 1

Back to TopTop