A Comprehensive Review: Radio Propagation Prediction Models for 5G and Beyond

Citation

Hossain, Ferdous and Tan, Kim Geok and Aktar, Hafija and Lim, Li Li and Chia, Pao Liew (2024) A Comprehensive Review: Radio Propagation Prediction Models for 5G and Beyond. International Journal on Communications Antenna and Propagation (IRECAP), 14 (3). p. 138. ISSN 2039-5086

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Abstract

This comprehensive review concentrates on the radio propagation prediction models specifically for fifth generation (5G) and beyond networks, with a particular emphasis on their scientific advancements and implications. It is crucial to conduct research on propagation prediction models to advance understanding and application of predictive modelling in the context of evolving wireless communication technologies. This review explores the mathematical foundations, algorithms, and parameters utilized in these models, providing invaluable insights for researchers and industry professionals. It underscores the significance of choosing the suitable radio propagation prediction model contingent upon, environment, antenna type, and operational frequency, within a scientific framework. The review offers extensive details on various parameters involved in channel modelling and classifies the propagation models into distinct categories such as free space, empirical, stochastic, deterministic, and semi-deterministic groups highlighting their respective strengths and limitations within scientific discourse. Each category and its subcategories are analysed in terms of their advantages and disadvantages, aiding in the process of model selection within a scientific framework. Upon analysing various dimensions, it becomes evident that, generally the deterministic model is better suited for radio propagation prediction. Overall, this exhaustive review serves to bridge the gap between theoretical advancements and practical applications in radio propagation modelling, driving progress in the field. This review functions as a crucial resource for researchers in propagation modelling, furnishing concise information to guide them in their scientific endeavours.

Item Type: Article
Uncontrolled Keywords: Radio Propagation Model
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 03 Dec 2024 00:26
Last Modified: 03 Dec 2024 00:26
URII: http://shdl.mmu.edu.my/id/eprint/13141

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