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Electronics
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Propagation Channel Measurements and Modeling for 6G Wireless Communications
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Propagation Channel Measurements and Modeling for 6G Wireless Communications

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

Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 3365

Special Issue Editors

Dr. Yan Zhang

E-Mail Website
Guest Editor
School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
Interests: 5G/6G mobile communications; AI-based channel modeling and signal identification; physical layer security
Prof. Dr. Qiuming Zhu

E-Mail Website
Guest Editor
Department of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Interests: UAV channel modeling; UAV channel hardware emulation; spectrum sensing and mapping; UAV communications
Special Issues, Collections and Topics in MDPI journals
Dr. Jian Sun

E-Mail Website
Guest Editor
School of Information Science and Engineering, Shandong University, Qingdao 266237, China
Interests: signal processing for wireless communications; channel sounding and modeling; joint communications and sensing
Dr. Xi Liao

E-Mail Website
Guest Editor
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
Interests: millimeter wave and terahertz; OAM communication; channel modeling

Special Issue Information

Dear Colleagues,

The knowledge of the propagation channel has historically been a fundamental element in the development and deployment of wireless communication technologies. Channel measurement and modeling are direct and significant ways to depict channel characteristics. In sixth-generation (6G) communication systems, there has been a growing demand for high transmission speeds, a large number of services, and global connectivity, which has led to the emergence of new radio technologies and new frequency bands. In view of the new features and technologies of 6G communications, it is urgent to measure and study accurate channel properties and characterization models of multiple scenarios and frequency bands.

The main objective of this Special Issue is to contribute to the latest advances in channel measurements and modeling for 6G wireless communications. The topics of interest include but are not limited to the following:

  • Channel sounder configuration and measurement techniques;
  • 6G propagation channel characteristics;
  • Channel models for 6G wireless communication systems;
  • Millimeter and terahertz wave propagation;
  • Channel modeling in high-mobility scenarios;
  • Massive multiple-input multiple-output (MIMO) channel measurements and models;
  • Non-stationarity, consistency, and correlation in multiple domains;
  • Channel models for satellite communications;
  • Air-to-ground propagation characteristics and models;
  • Channel modeling for reconfigurable intelligent surface;
  • Channel modeling for Joint communication and sensing;
  • Artificial intelligence (AI)-enabled channel modeling schemes and characteristics.

Dr. Yan Zhang
Dr. Qiuming Zhu
Dr. Jian Sun
Dr. Xi Liao
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

  • channel model
  • channel measurement
  • propagation characteristics
  • 6G
  • AI

Published Papers (2 papers)

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19 pages, 21072 KiB  
Article
A Novel UAV-Assisted Multi-Mobility Channel Model for Urban Transportation Emergency Communications
by Jinfan Liang, Xun Huang, Qiwang Xu, Yu Liu, Jingfan Zhang and Jie Huang
Electronics 2023, 12(14), 3015; https://doi.org/10.3390/electronics12143015 - 09 Jul 2023
Viewed by 835
Abstract
With the increasing requirements for unmanned aerial vehicle (UAV) communication in various application scenarios, the UAV-assisted emergency communication in urban transportation scenario has received great attention. In this paper, a novel UAV-assisted UAV-to-vehicle (U2V) geometry-based stochastic model (GBSM) for the urban traffic communication [...] Read more.
With the increasing requirements for unmanned aerial vehicle (UAV) communication in various application scenarios, the UAV-assisted emergency communication in urban transportation scenario has received great attention. In this paper, a novel UAV-assisted UAV-to-vehicle (U2V) geometry-based stochastic model (GBSM) for the urban traffic communication scenario is proposed. The three-dimensional (3D) multi-mobilities of the transmitter (Tx), receiver (Rx), and clusters are considered by introducing the time-variant acceleration and velocity correspondingly. The velocity variation of the clusters is used to simulate the motion of vehicles around the Rx. Moreover, to describe the vehicles’ moving states, Markov chain is adopted to analyze the changes in cluster motion states, including survival, death, dynamic, and static states. By adjusting the scenario-specific parameters, such as the vehicle density (ρ) and dynamic–static ratio (Ω), the model can support various urban traffic scenarios. Based on the proposed model, several key statistical properties, namely the root mean square (RMS) delay spread, temporal autocorrelation function (ACF), level-crossing rate (LCR), power delay profile (PDP), and stationary interval, under different clusters and antenna accelerations are obtained and analyzed. The accuracy of the proposed model is verified by the measured data. The results demonstrate the usability of our model, which can be provided as a reference for the design, evaluation, and optimization of future communication networks between UAV and vehicles in urban transportation emergency communications. Full article
(This article belongs to the Special Issue Propagation Channel Measurements and Modeling for 6G Wireless Communications)
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24 pages, 6083 KiB  
Article
Millimeter-Wave Dual-Band MIMO Channel Capacity Analysis Based on Climate Data: A Samsun Province Case Study
by Ahmet Furkan Kola, Çetin Kurnaz, Adnan Ahmad Cheema and Ardavan Rahimian
Electronics 2023, 12(10), 2273; https://doi.org/10.3390/electronics12102273 - 17 May 2023
Viewed by 1317
Abstract
The analysis of multiple-input multiple-output (MIMO) channel capacity is important for developing and optimizing high-speed wireless communication systems that can meet the growing demand for data-intensive applications. This study aims to analyze the 4 × 4 MIMO channel capacity of outdoor urban and [...] Read more.
The analysis of multiple-input multiple-output (MIMO) channel capacity is important for developing and optimizing high-speed wireless communication systems that can meet the growing demand for data-intensive applications. This study aims to analyze the 4 × 4 MIMO channel capacity of outdoor urban and rural environments using the NYUSIM simulator. The channel models are designed for 28 GHz and 39 GHz frequencies for both line-of-sight (LOS) and non-line-of-sight (NLOS) conditions. Realistic channel models are simulated using annual climate data collected in Samsun province, Turkey in three different environments: urban microcell (UMi), urban macrocell (UMa), and rural macrocell (RMa) areas. According to the annual average channel capacity analysis, it is observed that there is a very small capacity difference between UMi and UMa areas at 28 GHz and 39 GHz frequencies in the LOS region, while the RMa area is found to have a very low capacity compared to the UMi and UMa areas. The channel capacity for RMa is found to be approximately eight times smaller than UMi and UMa. In the NLOS region, channel capacities decrease significantly (between 312 and 3953 times) compared to the LOS region, with the UMa area having the greatest capacity and the UMi area having the lowest capacity. Compared to the UMi channel capacity, the RMa channel capacity is 1.36 times higher for 28 GHz and 1.28 times higher for 39 GHz. When the monthly changes in channel capacity are examined, it is discovered that the amount of precipitation has the greatest impact on channel capacity, and the capacity decreases as the rain rate increases. The highest correlation between channel capacity and rain rate was −0.97 for RMa, with a 28 GHz frequency and LOS conditions. Additionally, it becomes clear that channel capacities increase in the summer months as the temperature rises and humidity and pressure fall. Full article
(This article belongs to the Special Issue Propagation Channel Measurements and Modeling for 6G Wireless Communications)
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