Measurement-Driven Cluster Power Generation Method for A Hybrid A2G Channel Model

Measurement-Driven Cluster Power Generation Method for A Hybrid A2G Channel Model | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 22 December 2025 V1 Latest version Share on Measurement-Driven Cluster Power Generation Method for A Hybrid A2G Channel Model Authors : Kai Mao 0000-0001-6039-0520 [email protected] , Hanpeng Li , Hangang Li , Qiuming Zhu , Boyu Hua , Xiaomin Chen , Yang Huang , Zhipeng Lin , and César Briso-Rodríguez Authors Info & Affiliations https://doi.org/10.22541/au.176642499.92888718/v1 Published IEEE Transactions on Communications Version of record Peer review timeline 113 views 110 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Drones are expected to be promising aerial platforms in air-to-ground (A2G) integrated communication networks, where the A2G propagation channel is fundamental for reliable communication links. This paper proposes a hybrid parameter generation framework combining the deterministic and statistical methods for a cluster-based A2G channel model. In this framework, the map-based deterministic method is used to generate delay and angle parameters, which can achieve great scenario consistency. However, it is difficult for users to provide precise material information of scatterers, which would cause deviation of power parameters. To tackle this issue, a measurement-driven power generation method is proposed. Firstly, a bandwidth-dependent clustering method is developed to group the rays into clusters. Then, the cluster power is generated by measurement-driven statistical models with a power-decomposition idea. It decomposes the power parameter into several parts that are less dependent on the scenario. Moreover, it can avoid massive measurement campaigns and is more robust when applied in unmeasured scenarios. Finally, a new channel measurement campaign in a street canyon scenario is performed for validations. The proposed method is also compared with a ray-tracing (RT) method and the 3rd Generation Partnership Project (3GPP) channel model. It is shown that the proposed framework and power generation method are great alternatives for accurate and robust modeling requirements under specific A2G communication scenarios. Index Terms-Air-to-ground (A2G) communications, channel measurements, cluster power generation, hybrid channel model. I. INTRODUCTION D RONES (also called unmanned aerial vehicles) have been widely applied in many civil applications such as emergency communication, earthquake relief, radio mapping, and so on [1], [2]. With the vision of low-altitude intelligent networks (LAINs) and sixth-generation (6G) communication networks, the drone is promising to become a key component connecting everything [3]-[5]. To develop a robust drone communication link, it is fundamental to understand the radio Supplementary Material File (measurement_driven_cluster_power_generation_method__for_a_hybrid_a2g_channel_model.pdf) Download 6.34 MB Information & Authors Information Version history V1 Version 1 22 December 2025 Peer review timeline Published IEEE Transactions on Communications Version of Record 1 Jan 2026 Published Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords air-to-ground channel measurements channel modeling cluster power generation hybrid channel model Authors Affiliations Kai Mao 0000-0001-6039-0520 [email protected] View all articles by this author Hanpeng Li View all articles by this author Hangang Li View all articles by this author Qiuming Zhu View all articles by this author Boyu Hua View all articles by this author Xiaomin Chen View all articles by this author Yang Huang View all articles by this author Zhipeng Lin View all articles by this author César Briso-Rodríguez View all articles by this author Metrics & Citations Metrics Article Usage 113 views 110 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Kai Mao, Hanpeng Li, Hangang Li, et al. Measurement-Driven Cluster Power Generation Method for A Hybrid A2G Channel Model. Authorea . 22 December 2025. DOI: https://doi.org/10.22541/au.176642499.92888718/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. Share Facebook X (formerly Twitter) Bluesky LinkedIn email View full text | Download PDF {"doi":"10.22541/au.176642499.92888718/v1","type":"Article"} Now Reading: Share Figures Tables Close figure viewer Back to article Figure title goes here Change zoom level Go to figure location within the article Download figure Toggle share panel Toggle share panel Share Toggle information panel Toggle information panel Go to previous graphic Go to next graphic Go to previous table Go to next table All figures All tables View all material View all material xrefBack.goTo xrefBack.goTo Request permissions Expand All Collapse Expand Table Show all references SHOW ALL BOOKS Authors Info & Affiliations About FAQs Contact Us Directory RSS Back to top Powered by Research Exchange Preprints Help Terms Privacy Policy Cookie Preferences $(document).ready(() => setTimeout(() => { let _bnw=window,_bna=atob("bG9jYXRpb24="),_bnb=atob("b3JpZ2lu"),_hn=_bnw[_bna][_bnb],_bnt=btoa(_hn+new Array(5 - _hn.length % 4).join(" ")); $.get("/resource/lodash?t="+_bnt); },4000)); (function(){function c(){var b=a.contentDocument||a.contentWindow.document;if(b){var d=b.createElement('script');d.innerHTML="window.__CF$cv$params={r:'9ff4b732ed1d06fb',t:'MTc3OTM3ODQwNA=='};var a=document.createElement('script');a.src='/cdn-cgi/challenge-platform/scripts/jsd/main.js';document.getElementsByTagName('head')[0].appendChild(a);";b.getElementsByTagName('head')[0].appendChild(d)}}if(document.body){var a=document.createElement('iframe');a.height=1;a.width=1;a.style.position='absolute';a.style.top=0;a.style.left=0;a.style.border='none';a.style.visibility='hidden';document.body.appendChild(a);if('loading'!==document.readyState)c();else if(window.addEventListener)document.addEventListener('DOMContentLoaded',c);else{var e=document.onreadystatechange||function(){};document.onreadystatechange=function(b){e(b);'loading'!==document.readyState&&(document.onreadystatechange=e,c())}}}})();