Special Issue "Wireless Communications, Networking and Applications"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information and Communications Technology".

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 2544

Special Issue Editor

Prof. Dr. Hongzhi Wang
E-Mail Website
Guest Editor
Department of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China
Interests: big data analytics; AI for data base; database management system
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to invite you to submit to a novel Information Special Issue on “Wireless Communications, Networking and Applications”. This Special Issue will contain a selection of carefully revised and extended papers to be presented at the “2021 International Conference on Wireless Communications, Networking and Applications”, to be held in Berlin, Germany, 17–19 December 2021. WCNA 2021 aims to bring researchers, engineers, and students to the areas of wireless communications, networking, and applications. WCNA 2021 features unique mixed topics of wireless communications, devices, tools, and techniques for WSN and other wireless networks, wireless sensor networks, sustainable pervasive WSN Applications, and other related topics. Contributors are invited to submit original papers for publication in this Special Issue of the journal. Please follow the instructions available here regarding the number of pages and page formatting. The research papers should reach us at the latest by 30 June 2022.

Prof. Dr. Hongzhi 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. Information 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.

Keywords

  • Wireless communications Networking
  • machine learning
  • Artificial intelligence
  • Big data
  • Blockchain
  • Satellite and space communications
  • Internet of Things
  • Sensor technology

Published Papers (3 papers)

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Research

Article
Survey on UAV Deployment and Trajectory in Wireless Communication Networks: Applications and Challenges
Information 2022, 13(8), 389; https://doi.org/10.3390/info13080389 - 17 Aug 2022
Viewed by 444
Abstract
A new era of the fifth-generation (5G) networks is realized to satisfy user demands on higher data rate and massive connectivity for information sharing and utilization. The vertical applications such as vehicle-to-everything (V2X) communications, industrial automation, smart factory, smart farm and smart cities [...] Read more.
A new era of the fifth-generation (5G) networks is realized to satisfy user demands on higher data rate and massive connectivity for information sharing and utilization. The vertical applications such as vehicle-to-everything (V2X) communications, industrial automation, smart factory, smart farm and smart cities require ultra-fast communications and wide service range. Coverage extension is a key issue to support the required demands on higher performance, but requires an additional deployment of base or relay stations. Therefore, an efficient solution needs to be cost-effective and easy, in order to deploy more stations. An unmanned aerial vehicle (UAV) has been considered as a candidate to overcome these issues because it is much more cost-effective than the ground stations and does not require network or cell replanning, thereby enhancing the network coverage without additional excessive deployment procedures of the existing networks. UAVs will play important roles in 5G and beyond networks assisting as macro base stations, relay stations, small cells, or a moving aggregator. The performance of UAV wireless networks highly depends on the position or the trajectory of UAVs and the resource managements of entire networks. Recently, there have been extensive studies on performance analysis, UAV deployment, UAV trajectory and resource management of UAV wireless networks to achieve the required demands on performance. This paper surveys research conducted for the UAV deployment and trajectory to construct UAV wireless networks for the coverage extension, the throughput improvement and the resource management for different use cases and scenarios, so as to encourage further studies in this area. Full article
(This article belongs to the Special Issue Wireless Communications, Networking and Applications)
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Article
User Pairing and Power Allocation for NOMA-CoMP Based on Rate Prediction
Information 2022, 13(4), 200; https://doi.org/10.3390/info13040200 - 15 Apr 2022
Cited by 1 | Viewed by 687
Abstract
In this paper, we consider a non-orthogonal multiple access (NOMA) system with coordinated multi-point (CoMP), which is used in 5G cellular networks to guarantee the rate requirements from the different edge users. Based on the China Family Panel Studies (CFPS) dataset, we use [...] Read more.
In this paper, we consider a non-orthogonal multiple access (NOMA) system with coordinated multi-point (CoMP), which is used in 5G cellular networks to guarantee the rate requirements from the different edge users. Based on the China Family Panel Studies (CFPS) dataset, we use several learning algorithms to predict users’ rate requirements according to their profiles. We propose a many-to-many two-side subchannel–user matching strategy, which can classify users into cell-center users, high-rate requirement edge users, and low-rate requirement edge users based on their status and learning prediction results, and pair users with different subchannels to form joint transmission CoMP (JT-CoMP) subchannels and dynamic point selection CoMP (DPS-CoMP) subchannels. Furthermore, a discrete power allocation algorithm based on group search is proposed. Simulation results show that our proposed algorithm outperforms the traditional NOMA-CoMP algorithm and maximum throughput (MT) NOMA-CoMP algorithm. It maximizes the rate of high-rate requirement edge users while guaranteeing user fairness. Full article
(This article belongs to the Special Issue Wireless Communications, Networking and Applications)
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Article
Double-Layer Mobile Edge Computing-Enabled Power Line Inspection in Smart Grid Networks
Information 2022, 13(4), 167; https://doi.org/10.3390/info13040167 - 25 Mar 2022
Viewed by 782
Abstract
Unmanned aerial vehicles (UAVs) have the advantages of flexibility, low cost, and good communication channel gain. In recent years, the inspection of power grid systems supported by UAVs has been widely used. However, due to the constraint of wireless channels and UAVs, it [...] Read more.
Unmanned aerial vehicles (UAVs) have the advantages of flexibility, low cost, and good communication channel gain. In recent years, the inspection of power grid systems supported by UAVs has been widely used. However, due to the constraint of wireless channels and UAVs, it is impossible to transmit video content to the surveillance center. To solve this problem, in this study, a new mobile edge computing (MEC) technology-enabled power line inspection scheme for smart grid networks was designed. Within this scheme, a double-layer MEC architecture is proposed. In the upper-level layer, several UAVs installed with MEC equipment can locally process inspection videos with higher propriety. At the same time, the remaining tasks with lower priority are performed by the terrestrial base stations. In addition, a cost minimization problem is proposed and solved by the alternating optimization algorithm. The simulation results show that the proposed algorithm can significantly reduce the energy consumption of the system. Full article
(This article belongs to the Special Issue Wireless Communications, Networking and Applications)
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