Hybrid Beamforming for Massive MIMO Antenna Array Processor in 5G Wireless Communication

Hybrid Beamforming for Massive MIMO Antenna Array Processor in 5G Wireless Communication | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Hybrid Beamforming for Massive MIMO Antenna Array Processor in 5G Wireless Communication SM Muhtashin Al Razi, Tanvir Hasan, Md. Selim Hossain This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3895265/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract In order to overcome limitations in available frequency ranges, regulatory agencies such as the FCC are actively searching for ways to maximize the efficiency of bandwidth usage and improve customer satisfaction within the field of radio communication. This study highlights the crucial significance of Massive Multiple Input Multiple Output (MIMO) systems in addressing these problems in 5G wireless networks, resulting in improved spectrum efficiency and stability. The study presents a geometric channel model for massive MIMO systems that make use of Uniform Linear Array (ULA), Uniform Rectangular Array (URA), and Uniform Circular Array (UCA). Following that, a hybrid beamforming system is introduced, which integrates enhanced algorithms in both digital and analog precoders. This innovative methodology significantly minimizes approximation errors, thus improving spectral efficiency (SE). A comparative analysis is performed by implementing the hybrid beamforming algorithm on different array topologies to evaluate the differences between fully digital and hybrid systems. Although there is a slight decrease in SE, the hybrid model offers a notable benefit by requiring fewer antenna components upto 98.43%, making it an attractive choice in terms of performance and cost. Moreover, the study emphasizes the exceptional efficacy of the hybrid approach in the URA system, particularly when combined with specific array configurations and found 38.72 bits/s/Hz SE. Hybrid Beamforming Beamforming Massive MIMO MIMO ULA URA UCA Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3895265","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":269973313,"identity":"85f897c7-44f6-4a69-8c7e-2c3fd841fb16","order_by":0,"name":"SM Muhtashin Al Razi","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA5UlEQVRIiWNgGAWjYFACHhBxgIeBvfngAxCXjwgtjA1gLTzHkg1AXDZitTAwSOSYSYD4BLXozsg9/uDHnzsy5kAtlV9z7GTYGJgfPrqBR4vZjbzExt62ZzyWPc/KbstuSwY6jM3YOAevlhzDBt6GwzwGx5O33ZbcxgzUwsMmTUhL458/QC0HEsyKJbfVE6elmYcNqOVEihnjx22HidBy5o3hbNk2oJYzx5KlGbcd52FjJuSX4zkGH9/8OWxvcLz54Mef26rt+dmbHz7GpwUFMINTAjOxykGA8QcpqkfBKBgFo2DEAAB9+E1f5B2HMQAAAABJRU5ErkJggg==","orcid":"","institution":"Rajshahi University of Engineering and Technology","correspondingAuthor":true,"prefix":"","firstName":"SM","middleName":"Muhtashin Al","lastName":"Razi","suffix":""},{"id":269973314,"identity":"dcdc6a38-1545-4d7a-b92c-f7aaa5a24321","order_by":1,"name":"Tanvir Hasan","email":"","orcid":"","institution":"Rajshahi University of Engineering and Technology","correspondingAuthor":false,"prefix":"","firstName":"Tanvir","middleName":"","lastName":"Hasan","suffix":""},{"id":269973315,"identity":"4361ea45-eb7c-4670-82c9-1e2317450674","order_by":2,"name":"Md. 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