Article
Environmental Sciences
Fan Yang, Kunde Yang, Yang Shi, Shuwen Wang, Hao Zhang, Yaming Zhao
Summary: This paper analyzes the distribution of atmospheric factors and evaporation duct (ED) in the South China Sea (SCS). It finds that rainfall results in a lower evaporation duct height (EDH). The effect of ED on over-the-horizon (OTH) propagation is 4.3 times stronger than the maximum rain attenuation, mainly due to high relative humidity (RH). The change in sea-land breeze direction reduces path loss (PL) by transferring moist patches.
Article
Chemistry, Analytical
Roberto Nebuloni, Greta Cazzaniga, Michele D'Amico, Cristina Deidda, Carlo De Michele
Summary: Commercial microwave links (CML) have been utilized to estimate rainfall intensity, but validating these measurements against conventional rainfall sensors is challenging. This study assesses the performance of a CML network as rainfall sensors in a mountainous environment in Northern Italy. The results show that CML perform well in detecting rainfall, but there may be discrepancies in quantitative rainfall estimates.
Article
Optics
Yannik Horst, Bertold Ian Bitachon, Laurenz Kulmer, Jannik Brun, Tobias Blatter, Jean-Marc Conan, Aurelie Montmerle-Bonnefois, Joseph Montri, Beatrice Sorrente, Caroline B. Lim, Nicolas Vedrenne, Daniel Matter, Loann Pommarel, Benedikt Baeuerle, Juerg Leuthold
Summary: Free-space optical (FSO) communication technologies are a solution for future satellite-ground networks to meet the demand for high bandwidth. In this experiment, we achieved Tbit/s level transmission over a 53.42 km freespace channel between two locations in Switzerland, demonstrating high data rates and throughput even under turbulent conditions. By employing adaptive optics and advanced modulation formats, we showed that next-generation Tbit/s satellite communications can be practical.
LIGHT-SCIENCE & APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Jose Manuel Riera, Domingo Pimienta-del-Valle, Santiago Perez-Pena, Pedro Garcia-del-Pino, Ana Benarroch, Ana Isabel Calvo, Carlos Blanco-Alegre
Summary: This paper studies the rain attenuation characteristics in the 80-200 GHz frequency range based on a large amount of experimental data. It is found that the currently used ITU-R model generally underestimates rain-specific attenuation, the influence of polarization becomes smaller as the frequency approaches 200 GHz, and rain-specific attenuation significantly varies due to the spread of the raindrop size distributions. Moreover, a model for this variability of rain attenuation is proposed.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2023)
Review
Environmental Sciences
Md Abdus Samad, Feyisa Debo Diba, Dong-You Choi
Summary: Satellite communication is a promising transmission technique for implementing 5G and beyond networks. Rain attenuation modeling is significant for propagating electromagnetic waves to achieve the required quality of service. This survey examines different slant link rain attenuation prediction models and provides various techniques for obtaining input data sets.
Article
Engineering, Electrical & Electronic
Charles-Antoine L'hour, Jean-Pascal Monvoisin, Xavier Boulanger, Laurent Castanet
Summary: This study describes the climatic characteristics of French Guiana and conducts a statistical analysis of the received beacon signal data. The results show good agreement with the prediction methods recommended by ITU-R.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2022)
Article
Engineering, Aerospace
Akintunde A. Alonge
Summary: This study investigates previous rainfall measurement and modeling campaigns in Africa, focusing on rainfall attenuation mitigation in outdoor wireless 5G networks operating in frequency bands between 10 and 100 GHz. The study uses a lognormal Type II DSD variant as a statistical tool to analyze and compare the behavior of DSDs at different locations, and proposes a semi-empirical approach to formulate input parameters for the lognormal Type II distribution. The results show that climatic and geographic characteristics significantly influence the DSD profile and expected rainfall attenuation at each location.
ADVANCES IN SPACE RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
Swastika Chakraborty, Tapan Kumar Rana, Saurabh Das
Summary: Satellite signal at the Ka-band was measured in Umiam, Shillong for three years, and various scintillation models were compared, with the ITU-R model performing the best. New parameterization for the ITU-R scintillation model for this region was proposed based on measured data, showing improved performance.
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
(2021)
Article
Computer Science, Information Systems
Feyisa Debo Diba, Md Abdus Samad, Dong-You Choi
Summary: This study investigated rain attenuation results in different frequency bands for terrestrial links in South Korea and proposed a supervised learning-based attenuation prediction method, which outperformed existing models.
Article
Physics, Multidisciplinary
Y. Shimamoto, Y. Matsushima, T. Hasegawa, Y. Kousaka, I Proskurin, J. Kishine, A. S. Ovchinnikov, F. J. T. Goncalves, Y. Togawa
Summary: Chiral spin soliton lattices (CSL), which exhibit reconfigurability and controllability, can generate phononlike elementary excitations. In this study, higher-order magnetic resonance modes were observed in the CSL phase of a chiral helimagnet through experiments. The resonance frequency of the CSL phonon can be adjusted, making chiral helimagnets potentially useful for broadband signal processing in the millimeter-wave band.
PHYSICAL REVIEW LETTERS
(2022)
Article
Engineering, Electrical & Electronic
R. Renju, Suresh C. Raju, Manoj Kumar Mishra, N. V. P. Kirankumar, Nizy Mathew
Summary: This study conducted collocated and concurrent measurements of the attenuation in GSAT-14 Ka-band signals, atmospheric and cloud parameters, and rain parameters during the Indian monsoon and tropical convective rain events at Trivandrum. The findings showed varying impacts of different rain types on signal attenuation, with raindrop size and rain rate also affecting the attenuation of signals.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2021)
Article
Chemistry, Analytical
Fabio Saggese, Vincenzo Lottici, Filippo Giannetti
Summary: This paper proposes a novel algorithm to estimate rainfall rate maps using attenuation data from broadcast satellite links and commercial microwave links. The algorithm successfully fuses data from different links and considers the presence of virga phenomenon. Experimental results show the convergence and improved accuracy of the algorithm. The addition of broadcast satellite links to an existing commercial microwave link network significantly enhances the accuracy of the estimated rainfall map.
Article
Engineering, Electrical & Electronic
Davide Micheli, Giuliano Muratore, Aldo Vannelli, Andrea Scaloni, Mauro Sgheiz, Pasquale Cirella
Summary: This article presents an innovative approach to analyze connected car propagation models using MDT measurements, comparing LTE signal propagation between rainy and dry road conditions. The research shows that wet environments reshape electromagnetic propagation, affecting even LTE frequency bands with minimal rain influence, highlighting the need for careful consideration of rain effects on cellular propagation in the perspective of connected car evolution and new 5G bands.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2021)
Article
Engineering, Aerospace
Etienne Suquet, Jean-Pascal Monvoisin, Laurent Castanet, Laurent Feral, Xavier Boulanger
Summary: This paper presents a 12-year Earth-space propagation experiment at Ka band conducted by ONERA in Toulouse since 2009. Statistical analysis of rain attenuation and rainfall rate is performed, and comparisons are made with prediction methods by ITU-R.
INTERNATIONAL JOURNAL OF SATELLITE COMMUNICATIONS AND NETWORKING
(2023)
Review
Chemistry, Analytical
Md Abdus Samad, Feyisa Debo Diba, Dong-You Choi
Summary: This study explores the rain attenuation models at millimeter-wave frequencies, addressing various estimation and dataset development techniques. It classifies and analyzes existing terrestrial rain attenuation models, while discussing open research issues and challenges, particularly the need for a rain attenuation model for short-range links in the E-band for 5G and beyond networks.
Article
Computer Science, Information Systems
Gaoyuan Zhang, Haiqiong Li, Congzheng Han, Congyu Shi, Hong Wen, Dan Wang
Summary: A simplified MSD scheme is proposed, which achieves almost the same performance as the full scheme while significantly reducing the number of decision metrics needed to be calculated, striking a balance between implementation complexity and detection performance.
SECURITY AND COMMUNICATION NETWORKS
(2021)
Article
Environmental Sciences
Congzheng Han, Liang Feng, Juan Huo, Zhaoze Deng, Gaoyuan Zhang, Baofeng Ji, Yushu Zhou, Yongheng Bi, Shu Duan, Renmin Yuan
Summary: Wireless communication has become a vital part of our daily lives, and meteorological factors can significantly impact communication quality, especially at high frequencies. This paper conducted field measurements at 25 GHz and 38 GHz to study the effects of atmospheric conditions on millimeter-wave transmissions. By deriving the relationship between rain-induced attenuation and rainfall rate using local rain drop size distribution information, the improved model showed better estimation accuracy compared to international standards.
Article
Environmental Sciences
Juan Huo, Yongheng Bi, Bo Liu, Congzheng Han, Minzheng Duan
Summary: A new dual-frequency Doppler polarimetric cloud radar has been operating at the Yangbajing Observatory on the Tibetan Plateau for over a year, showing different performance for different types of clouds and detecting issues near the edge of cloud layers in the region. The radar measurements demonstrate the advantages of the dual-frequency design in providing valuable information for cloud and precipitation understanding.
Article
Environmental Sciences
Congzheng Han, Guiyang Su, Lei Bao, Hagit Messer
Summary: This study evaluates the performance of water vapor monitoring using commercial millimeter-wave backhaul links from fifth-generation cellular networks and smart cities. The analysis is based on the data from a 38 GHz link and an E-band link in Gothenburg, Sweden. The results show that the water vapor density calculated from microwave links is consistent with that calculated by weather stations, but factors such as interference and station location need to be considered to ensure accurate estimation.
Article
Chemistry, Multidisciplinary
Bo Xie, Congfang Ma, Haiqiong Li, Gaoyuan Zhang, Congzheng Han
Summary: This paper investigates the simplified log-likelihood ratio (LLR) computation of coded Multiple Phase Shift Keying (MPSK) signals in Wireless Sensor Networks (WSNs) under phase noncoherent and Rayleigh fading channels for healthcare applications. By avoiding the estimation of instantaneous channel state information (CSI) and the complex calculations, the proposed method reduces the computation complexity and is suitable for energy-limited WSNs.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Electrical & Electronic
Xiaohui Zhang, Huacheng Zeng, Baofeng Ji, Gaoyuan Zhang
Summary: In this paper, a low-complexity MIMO detection method based on the Neumann series is proposed, which reduces the computational complexity of signal detection by leveraging the statistical information of the Gram matrix and transforming matrix operations.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Gaoyuan Zhang, Kai Chen, Congfang Ma, Sravan Kumar Reddy, Baofeng Ji, Yongen Li, Congzheng Han, Xiaohui Zhang, Zhumu Fu
Summary: This paper studies the decision fusion for multi-route and multi-hop wireless sensor networks, using a binary symmetric channel model to characterize the relay transmission. An optimal log-likelihood ratio decision fusion rule is developed, assuming perfect knowledge of sensor performance and channel state information. Suboptimum and robust fusion rules are derived for two cases. Results show that the suboptimum fusion detectors require less or no a priori information and are easy to implement. It is also found that the counting-based statistic can be directly derived from the optimal statistic. Furthermore, an optimal scheme for joint decision fusion and CSI estimation is proposed, and a more computationally practical scheme is given. The performance evaluation is conducted both analytically and through simulation.
COMPUTER COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Gaoyuan Zhang, Congfang Ma, Kai Chen, Yongen Li, Haiqiong Li, Congzheng Han
Summary: This study proposes a neural network-based multiple-symbol noncoherent learning detection scheme for coded signal detection in high data rate remote home healthcare applications. The performance gain and decoding convergence acceleration are achieved through improved calculation of the bit log-likelihood ratio and simplified training-set generation configuration.
PHYSICAL COMMUNICATION
(2022)
Article
Computer Science, Information Systems
Xiaoyi Zhao, Ping Xie, Ling Xing, Gaoyuan Zhang, Huahong Ma
Summary: This paper proposes clustered federated learning based on momentum gradient descent (CFL-MGD) by integrating momentum and cluster techniques. In CFL-MGD, scattered clients are partitioned into the same cluster and update local model parameters through momentum gradient descent. The proposed algorithm is proven to converge at an exponential rate for smooth and strongly convex loss functions.
Article
Engineering, Civil
Baofeng Ji, Jiayu Huang, Yi Wang, Kang Song, Chunguo Li, Congzheng Han, Hong Wen
Summary: The rapid development and continuous innovation of wireless services have led to a boom in the number and types of smart terminals. The huge amount of data that deep learning needs to calculate relies on the continuous improvement of hardware devices to solve. Therefore, the realization of intelligent transportation system(ITS) has become the general trend. Aiming at the influence and elimination of aggregated interference in intelligent transportation system, an anti-fragile communication algorithm is proposed to improve the reliability of signal transmission. Meanwhile, the outage probability of energy harvesting and cognitive radio technology enhanced with relay cooperative transmission under cognitive wireless network system with the aggregate interference can be deduced in detail. Finally, the correctness of theoretical analysis and the reliability of the proposed anti-fragile communication algorithms are verified by simulation experiments.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Telecommunications
Xingwang Li, Junjie Jiang, Hao Wang, Congzheng Han, Gaojie Chen, Jianhe Du, Chunqiang Hu, Shahid Mumtaz
Summary: This paper investigates the physical layer security (PLS) performance of a wireless-powered ambient backscatter cooperative communication network under the threat of an eavesdropper. The secrecy outage probability (SOP) and secrecy energy efficiency (SEE) are derived, along with the secrecy diversity order. The numerical analysis results demonstrate that system parameters such as transmit power, secrecy rate threshold, reflection efficiency, and distance between the source and backscatter device have an impact on the performance improvement of SOP and SEE, providing guidance for balancing security and energy efficiency in ambient backscatter cooperative relay networks.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2023)
