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Performance of path loss models over mid-band and high-band channels for 5G communication networks: A review

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dc.contributor.author Shaibu, FE
dc.contributor.author Onwuka, EN
dc.contributor.author Salawu, N
dc.contributor.author Oyewobi, SS
dc.contributor.author Djouani, K
dc.contributor.author Abu-Mahfouz, Adnan MI
dc.date.accessioned 2024-02-05T06:33:35Z
dc.date.available 2024-02-05T06:33:35Z
dc.date.issued 2023-11
dc.identifier.citation Shaibu, F., Onwuka, E., Salawu, N., Oyewobi, S., Djouani, K. & Abu-Mahfouz, A.M. 2023. Performance of path loss models over mid-band and high-band channels for 5G communication networks: A review. <i>Future Internet, 15(11).</i> http://hdl.handle.net/10204/13549 en_ZA
dc.identifier.issn 1999-5903
dc.identifier.uri https://doi.org/10.3390/fi15110362
dc.identifier.uri http://hdl.handle.net/10204/13549
dc.description.abstract The rapid development of 5G communication networks has ushered in a new era of high-speed, low-latency wireless connectivity, as well as the enabling of transformative technologies. However, a crucial aspect of ensuring reliable communication is the accurate modeling of path loss, as it directly impacts signal coverage, interference, and overall network efficiency. This review paper critically assesses the performance of path loss models in mid-band and high-band frequencies and examines their effectiveness in addressing the challenges of 5G deployment. In this paper, we first present the summary of the background, highlighting the increasing demand for high-quality wireless connectivity and the unique characteristics of mid-band (1–6 GHz) and high-band (>6 GHz) frequencies in the 5G spectrum. The methodology comprehensively reviews some of the existing path loss models, considering both empirical and machine learning approaches. We analyze the strengths and weaknesses of these models, considering factors such as urban and suburban environments and indoor scenarios. The results highlight the significant advancements in path loss modeling for mid-band and high-band 5G channels. In terms of prediction accuracy and computing effectiveness, machine learning models performed better than empirical models in both mid-band and high-band frequency spectra. As a result, they might be suggested as an alternative yet promising approach to predicting path loss in these bands. We consider the results of this review to be promising, as they provide network operators and researchers with valuable insights into the state-of-the-art path loss models for mid-band and high-band 5G channels. Future work suggests tuning an ensemble machine learning model to enhance a stable empirical model with multiple parameters to develop a hybrid path loss model for the mid-band frequency spectrum. en_US
dc.format Fulltext en_US
dc.language.iso en en_US
dc.relation.uri https://www.mdpi.com/1999-5903/15/11/362 en_US
dc.source Future Internet, 15(11) en_US
dc.subject 5G communication en_US
dc.subject Empirical model en_US
dc.subject High-band en_US
dc.subject Machine learning models en_US
dc.subject Mid-band en_US
dc.subject Path losses en_US
dc.title Performance of path loss models over mid-band and high-band channels for 5G communication networks: A review en_US
dc.type Article en_US
dc.description.pages 32 en_US
dc.description.note Copyright: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). en_US
dc.description.cluster Next Generation Enterprises & Institutions en_US
dc.description.impactarea EDT4IR Management en_US
dc.identifier.apacitation Shaibu, F., Onwuka, E., Salawu, N., Oyewobi, S., Djouani, K., & Abu-Mahfouz, A. M. (2023). Performance of path loss models over mid-band and high-band channels for 5G communication networks: A review. <i>Future Internet, 15(11)</i>, http://hdl.handle.net/10204/13549 en_ZA
dc.identifier.chicagocitation Shaibu, FE, EN Onwuka, N Salawu, SS Oyewobi, K Djouani, and Adnan MI Abu-Mahfouz "Performance of path loss models over mid-band and high-band channels for 5G communication networks: A review." <i>Future Internet, 15(11)</i> (2023) http://hdl.handle.net/10204/13549 en_ZA
dc.identifier.vancouvercitation Shaibu F, Onwuka E, Salawu N, Oyewobi S, Djouani K, Abu-Mahfouz AM. Performance of path loss models over mid-band and high-band channels for 5G communication networks: A review. Future Internet, 15(11). 2023; http://hdl.handle.net/10204/13549. en_ZA
dc.identifier.ris TY - Article AU - Shaibu, FE AU - Onwuka, EN AU - Salawu, N AU - Oyewobi, SS AU - Djouani, K AU - Abu-Mahfouz, Adnan MI AB - The rapid development of 5G communication networks has ushered in a new era of high-speed, low-latency wireless connectivity, as well as the enabling of transformative technologies. However, a crucial aspect of ensuring reliable communication is the accurate modeling of path loss, as it directly impacts signal coverage, interference, and overall network efficiency. This review paper critically assesses the performance of path loss models in mid-band and high-band frequencies and examines their effectiveness in addressing the challenges of 5G deployment. In this paper, we first present the summary of the background, highlighting the increasing demand for high-quality wireless connectivity and the unique characteristics of mid-band (1–6 GHz) and high-band (>6 GHz) frequencies in the 5G spectrum. The methodology comprehensively reviews some of the existing path loss models, considering both empirical and machine learning approaches. We analyze the strengths and weaknesses of these models, considering factors such as urban and suburban environments and indoor scenarios. The results highlight the significant advancements in path loss modeling for mid-band and high-band 5G channels. In terms of prediction accuracy and computing effectiveness, machine learning models performed better than empirical models in both mid-band and high-band frequency spectra. As a result, they might be suggested as an alternative yet promising approach to predicting path loss in these bands. We consider the results of this review to be promising, as they provide network operators and researchers with valuable insights into the state-of-the-art path loss models for mid-band and high-band 5G channels. Future work suggests tuning an ensemble machine learning model to enhance a stable empirical model with multiple parameters to develop a hybrid path loss model for the mid-band frequency spectrum. DA - 2023-11 DB - ResearchSpace DP - CSIR J1 - Future Internet, 15(11) KW - 5G communication KW - Empirical model KW - High-band KW - Machine learning models KW - Mid-band KW - Path losses LK - https://researchspace.csir.co.za PY - 2023 SM - 1999-5903 T1 - Performance of path loss models over mid-band and high-band channels for 5G communication networks: A review TI - Performance of path loss models over mid-band and high-band channels for 5G communication networks: A review UR - http://hdl.handle.net/10204/13549 ER - en_ZA
dc.identifier.worklist 27504 en_US


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