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
Engineering, Aerospace
Swastika Chakraborty, Pooja Verma, Bishal Paudel, Saurabh Das
Summary: Experimental measurement of satellite signal at 20.2 GHz in a hilly tropical location was conducted using GSAT-14 satellite beacon. The study analyzed the effects of orographic rainfall on the signal and compared experimentally obtained rain attenuation data with conventional and recently developed models. Both models overestimated the actual measurement, leading to the modification of the Chang Sheng model with an orographic adjustment factor. The performance of the proposed model was evaluated and found to be acceptable, indicating its potential for rain attenuation mitigation in high rainfall hilly regions.
ADVANCES IN SPACE RESEARCH
(2022)
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.
Review
Computer Science, Information Systems
Fazdliana Samat, Mandeep Jit Singh, Aduwati Sali, Nasharuddin Zainal
Summary: This article discusses the importance of site diversity in satellite communication and the impact of various parameters on gain. Evaluation of site diversity experimental data conducted in Greece and India demonstrated the reliability of tropical and temperate climate models in predicting gain.
Article
Geochemistry & Geophysics
Swastika Chakraborty, Pooja Verma, Bishal Paudel, Ashish Shukla, Saurabh Das
Summary: Validation of the synthetic storm technique (SST) for predicting rain attenuation in hilly areas shows that the predicted attenuation is overestimated and is not significantly affected by storm speed. The second-order rain attenuation prediction, specifically the fade slope, is also overestimated by SST for different rain event categories at 20.2 and 30.3 GHz frequencies. The exceedance plot of fade duration by SST indicates overestimation at higher frequencies and underestimation at lower frequencies.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Computer Science, Information Systems
Fazdliana Samat, Mandeep Jit Singh, Aduwati Sali, P. M. Kalaivaanan
Summary: This article presents a study on the behavior of four parameters that contribute to site diversity gain and proposes a new SDLog model. The performance of the SDLog model was compared with existing models, showing superior accuracy in reproducing experimental datasets.
Article
Computer Science, Information Systems
Nhat-Tien Nguyen, Hong-Nhu Nguyen, Ngoc-Long Nguyen, Anh-Tu Le, Tan N. N. Nguyen, Miroslav Voznak
Summary: This paper investigates the performance of a NOMA-based hybrid Satellite-Terrestrial relays system using mmWave technology. The system utilizes multiple antennas and the AF protocol to forward satellite's information. The best relay is chosen based on the rain coefficient as the fading factor. The theoretical derivation is validated through simulation results and the results demonstrate the superiority of NOMA over OMA method.
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
Telecommunications
Ki Joung Jang, Youngkeun Yoon, Junseok Kim, Jong Ho Kim, Ganguk Hwang
Summary: The study introduces a new rain attenuation prediction model based on Gaussian Process Regression, which effectively captures the complex relationships between rain attenuation and other factors, and demonstrates high prediction accuracy in validation using the ITU-R study group 3 databank (DBSG3).
IEEE COMMUNICATIONS LETTERS
(2021)
Article
Engineering, Aerospace
Arijit De, Animesh Maitra
Summary: This study investigates cloud attenuation at 30 GHz frequency in a tropical location, Kolkata, using ground-based microwave radiometric observations. Significant cloud attenuation is observed during the monsoon season at 30 GHz, and the variation of cloud attenuation with frequencies and elevation angles is analyzed.
ADVANCES IN SPACE RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
Xin Zhang, Zhenwei Zhao, Zhensen Wu, Leke Lin, Changsheng Lu, Mingchen Sun, Qinglin Zhu
Summary: This article proposes a rain attenuation prediction model for terrestrial line-of-sight links, improving the accuracy by solving the issue of anomalously high adjustment factor at short distances in existing models. The model takes into account the contributions of wet antenna attenuation and path rain attenuation, and introduces a rainfall rate adjustment factor. The model has a root-mean-square error of 21.54% in prediction, which is an improvement compared to other models. Since the rainfall rate adjustment factor in the model approaches 1 at short distances, it can be applied to rain attenuation prediction for short-distance links, assisting designers in more accurate link margin design.
IET MICROWAVES ANTENNAS & 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
Computer Science, Information Systems
Debraj Chakraborty, Sajith D. Nair, Moumita Mukherjee
Summary: This study investigates the attenuation of terahertz signal in tropical rainy weather, with a focus on the peak attenuation level in the 7THz-9THz range and its increase with higher rain rates in the Indian scenario.
Article
Computer Science, Information Systems
Md. Moktarul Alam, Md. Rafiqul Islam, Mohsen Koohestani, Elfatih A. A. Elsheikh
Summary: Rain on earth-to-satellite links operating at frequencies higher than 18 GHz significantly impairs signal transmission, leading to performance degradation in satellite communication. Time diversity technique with appropriate delay between transmissions has been proven effective in mitigating rainfall attenuation. However, designing future high-frequency links requires measured rainfall data, which is often unavailable. In this study, we propose a new model considering the variables of rain rate, time delay, and frequency, and validate it using one-year rainfall and attenuation data from two locations in Malaysia, showing only a 7% prediction inaccuracy compared to existing models.
Article
Engineering, Electrical & Electronic
Shi Jie Seah, Siat Ling Jong, Hong Yin Lam, Jafri Din
Summary: This study proposed an optimum rain fade margin for 5G networks in Peninsular Malaysia, based on analysis of rain data and statistics. The findings are valuable for network operators and system engineers in operating 5G terrestrial microwave links in heavy rain regions to ensure optimal link availability.
INTERNATIONAL JOURNAL OF MICROWAVE AND WIRELESS TECHNOLOGIES
(2022)
Article
Computer Science, Hardware & Architecture
Mabruka Mohamed Agel, Mohamed Hadi Habaebi, Md Rafiqul Islam
COMPUTERS & ELECTRICAL ENGINEERING
(2019)
Article
Engineering, Electrical & Electronic
Asma Ali Hussein Budalal, Md Rafiqul Islam, Khaizuran Abdullah, Tharek Abdul Rahman
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
(2020)
Article
Computer Science, Information Systems
Asma Ali Budalal, Ibraheem Shayea, Md Rafiqul Islam, Marwan Hadri Azmi, Hafizal Mohamad, Sawsan Ali Saad, Yousef Ibrahim Daradkeh
Summary: This paper investigates the impact of atmospheric attenuation on wireless communication links in tropical regions, focusing on the effects of rainfall on signal propagation. Path loss, path loss exponent, and other propagation parameters were analyzed based on real measurement data. Results showed high consistency between the predicted rain fade using the modified distance factor and measured results.
Article
Computer Science, Information Systems
Mohammed Abdulla Salim Al Husaini, Mohamed Hadi Habaebi, Teddy Surya Gunawan, Md Rafiqul Islam
Summary: Breast cancer is the leading cause of female mortality worldwide, and a new tool utilizing thermal imaging, deep convolutional networks, health apps on smartphones, and cloud computing has been developed for its early detection. The testing showed high accuracy in classification results and a response time of six seconds for transferring diagnostic outcomes between smartphones and cloud servers.
Article
Engineering, Electrical & Electronic
Elfatih A. A. Elsheikh, Islam Md Rafiqul, Mohamed Hadi Habaebi, Alhareth Zyoud, Fakher Eldin Mohamed Suliman, E. Eltahir, Nadir W. Amin
Summary: This article proposes a novel model for predicting dust-storm total path attenuation, taking into account the nonuniform variations in dust storm intensity. The model is developed based on the observed characteristics of dust storms. A measurement campaign in Khartoum, Sudan was conducted to validate the model using microwave links.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2022)
Review
Computer Science, Information Systems
Alaa Haddad, Mohamed Hadi Habaebi, Md Rafiqul Islam, Nurul Fadzlin Hasbullah, Suriza Ahmad Zabidi
Summary: This study conducted a Systematic Literature Review (SLR) to identify and evaluate research articles on the use of blockchain technology in managing electronic health records (EHRs). The SLR showed the potential of blockchain to deliver decentralization, security, and privacy that are often lacking in traditional EHRs. The combination of blockchain and artificial intelligence can effectively address the limitations of these two technical ecosystems.
Article
Computer Science, Information Systems
M. M. Hasan Mahfuz, Md Rafiqul Islam, Chan-Wang Park, Elfatih A. A. Elsheikh, F. M. Suliman, Mohamed Hadi Habaebi, Norun Abdul Malek, Nazmus Sakib
Summary: Wearable antennas have gained popularity due to their appealing features and potential for lightweight, compact, low-cost, and adaptable wireless communications. However, designing and manufacturing these antennas poses challenges such as complex layouts, material choices, and the impact of body binding scenarios on performance. This paper provides an overview of the innovative approaches and solutions in the field of wearable antenna research.
Article
Computer Science, Information Systems
Nubila Nabeel, Mohamed Hadi Habaebi, M. D. Rafiqul Islam
Summary: This paper introduces a new Lightweight New Mersenne Number Transform (LNMNT) Hash function for resource-constrained applications in the Internet of Things (IoT) domain. The proposed hash function shows excellent randomness behavior and sensitivity to input message changes, with low execution time, memory usage, and power consumption compared to other Lightweight hash functions.
Article
Computer Science, Information Systems
Mohammed Zubair M. Shamim, Elfatih Abdelrahman Ahmed Elsheikh, Fakher Eldin Mohamed Suliman Salih, Md Rafiqul Islam
Summary: A machine learning model was developed to predict microwave signal attenuation caused by dust and sand storms, utilizing meteorological data related to atmospheric conditions. The study found a relatively optimistic relationship between meteorological data and microwave signal attenuation.
Article
Engineering, Electrical & Electronic
Yong Hong Tan, Kentaro Saito, Jun-ichi Takada, Md Rafiqul Islam, Abdul Rahman Tharek
Summary: This paper investigates the effects of drop shape on rain attenuation prediction using a theoretical approach. Results show that the theoretical method based model utilizing the knowledge of scattering properties and raindrop-size distributions produces better prediction results than the empirical ITU-R model, particularly at high rain rates. Realistic drop shapes result in lower RMSE at 26 GHz and 38 GHz compared to using spherical shapes.
IEICE COMMUNICATIONS EXPRESS
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
G. M. Asadullah, Md Shazzadul Islam, Md Rafiqul Islam, Noor Hidayah M. Adnan
2020 JOINT 9TH INTERNATIONAL CONFERENCE ON INFORMATICS, ELECTRONICS & VISION (ICIEV) AND 2020 4TH INTERNATIONAL CONFERENCE ON IMAGING, VISION & PATTERN RECOGNITION (ICIVPR)
(2020)
Proceedings Paper
Engineering, Electrical & Electronic
Asif Jamil Sahad, Md Shazzadul Islam, Md Rafiqul Islam, G. M. Asadullah, Noor Hidayah M. Adnan
2020 IEEE REGION 10 SYMPOSIUM (TENSYMP) - TECHNOLOGY FOR IMPACTFUL SUSTAINABLE DEVELOPMENT
(2020)
Review
Computer Science, Information Systems
Mohammed Abdulla Salim Al Husaini, Mohamed Hadi Habaebi, Shihab A. Hameed, Md Rafiqul Islam, Teddy Surya Gunawan
Proceedings Paper
Engineering, Electrical & Electronic
Norun Abdul Malek, Nur Alyaa Che Sabri, Md Rafiqul Islam, Sarah Yasmin Mohamad, Farah Nadia Mohd Isa
2019 IEEE ASIA-PACIFIC CONFERENCE ON APPLIED ELECTROMAGNETICS (APACE)
(2019)
Proceedings Paper
Engineering, Electrical & Electronic
M. Z. A. Muhsin, S. K. A. Rahim, M. Z. M. Nor
2019 IEEE ASIA-PACIFIC CONFERENCE ON APPLIED ELECTROMAGNETICS (APACE)
(2019)
