{"id":218,"date":"2022-03-28T19:11:00","date_gmt":"2022-03-28T19:11:00","guid":{"rendered":"https:\/\/gidel.com\/?p=218"},"modified":"2026-09-20T20:03:38","modified_gmt":"2026-09-20T20:03:38","slug":"fpga-wireless-research","status":"publish","type":"post","link":"https:\/\/gidel.com\/fpga-wireless-research\/","title":{"rendered":"FPGA Wireless Research Powered by Gidel Technology"},"content":{"rendered":"<h2>FPGA Wireless Research for Massive MIMO and 5G\/6G<\/h2>\n<p>TU Berlin\u2019s FPGA wireless research uses Gidel FPGA technology to evaluate real-time Massive MIMO architectures for advanced 5G and 6G communication systems. The platform combines deterministic FPGA processing, high-speed transceivers, and scalable multi-antenna connectivity to process many radio channels with very low latency.<\/p>\n<p>By moving time-critical wireless processing into FPGA hardware, researchers can continuously update signal-processing and beamforming calculations as users and channel conditions change. This architecture provides a scalable research platform for studying Massive MIMO, SDMA, spectral efficiency, and large antenna arrays under real-time constraints.<\/p>\n<h2>Advancing FPGA-Based Wireless Research for Massive MIMO<\/h2>\n<p>As 5G continues to expand, researchers are exploring ways to deliver higher bandwidth efficiency. With the rapid growth of IoT devices and autonomous systems, networks must exchange data with many terminals in real time. Consequently, the demand for new wireless architectures is increasing.<\/p>\n<p>Massive MIMO is one of the leading technologies addressing this need. It uses large antenna arrays that communicate with multiple users simultaneously. SDMA (Space Division Multiple Access) analyzes the unique characteristics of each terminal, optimizing the downlink and ensuring efficient use of available radio resources.<\/p>\n<h3>Real-Time Challenges in Next-Generation Wireless Systems<\/h3>\n<p>The main obstacle in Massive MIMO is the requirement for extremely fast, deterministic processing. Because every antenna interacts with every terminal, complex encoding and decoding must happen immediately. However, mobile users constantly move, which means the system must update calculations continuously.<\/p>\n<p>FPGAs are well suited to this task because they provide predictable timing, parallel processing, and very low latency.<\/p>\n<h2>How TU Berlin Advances FPGA Wireless Research with Gidel Technology<\/h2>\n<p>The research team led by Prof. Giuseppe Caire at TU Berlin investigates new models for 5G and 6G communication. Their experimental system validates advanced beamforming and real-time wireless processing concepts. Furthermore, the team selected Gidel FPGA hardware\u2014recommended by Intel\u2014to ensure high throughput and precise timing.<\/p>\n<h2>Real-Time Processing for Wireless FPGA Research<\/h2>\n<p>The prototype demonstrates that a single Gidel FPGA board can communicate with eight terminals at once, often with fewer radio resources than a traditional base station needs for one user. All antenna streams pass through a single FPGA platform, which connects to RF front ends and network infrastructure using multi-gigabit transceivers and PCIe.<\/p>\n<p>Additionally, Altera Arria 10 FPGAs were selected for their floating-point processing capabilities and high data bandwidth.<\/p>\n<div class=\"rscroll\" style=\"margin-bottom: 6px;\">\n<table style=\"border-collapse: collapse; width: 100%; margin-left: auto; margin-right: auto;\">\n<caption style=\"text-align: left; caption-side: top; font-weight: bold; padding: 10px; font-size: 16px;\">TU Berlin Massive MIMO FPGA Wireless Research Architecture<\/caption>\n<thead>\n<tr style=\"background: #002f5b; color: #ffffff;\">\n<th style=\"border: 1px solid #ddd; padding: 10px; text-align: left; vertical-align: middle;\"><strong>Architecture<\/strong><\/th>\n<th style=\"border: 1px solid #ddd; padding: 10px; text-align: center; vertical-align: middle;\"><strong>Research System Configuration<\/strong><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr style=\"background: #f6faff;\">\n<td style=\"border: 1px solid #ddd; padding: 10px; text-align: left;\"><strong>Research Focus<\/strong><\/td>\n<td style=\"border: 1px solid #ddd; padding: 10px; text-align: center; vertical-align: middle;\">Real-time Massive MIMO, beamforming, SDMA, and wireless signal processing<\/td>\n<\/tr>\n<tr style=\"background: #ffffff;\">\n<td style=\"border: 1px solid #ddd; padding: 10px; text-align: left;\"><strong>FPGA Platform<\/strong><\/td>\n<td style=\"border: 1px solid #ddd; padding: 10px; text-align: center; vertical-align: middle;\">Gidel FPGA board based on Altera Arria 10<\/td>\n<\/tr>\n<tr style=\"background: #f6faff;\">\n<td style=\"border: 1px solid #ddd; padding: 10px; text-align: left;\"><strong>Prototype Antennas<\/strong><\/td>\n<td style=\"border: 1px solid #ddd; padding: 10px; text-align: center; vertical-align: middle;\">64 antennas<\/td>\n<\/tr>\n<tr style=\"background: #ffffff;\">\n<td style=\"border: 1px solid #ddd; padding: 10px; text-align: left;\"><strong>Simultaneous Terminals<\/strong><\/td>\n<td style=\"border: 1px solid #ddd; padding: 10px; text-align: center; vertical-align: middle;\">Up to 8 terminals in the prototype<\/td>\n<\/tr>\n<tr style=\"background: #f6faff;\">\n<td style=\"border: 1px solid #ddd; padding: 10px; text-align: left;\"><strong>Scalability<\/strong><\/td>\n<td style=\"border: 1px solid #ddd; padding: 10px; text-align: center; vertical-align: middle;\">Up to 192 antennas per Gidel board in the described commercial architecture, with multi-board expansion<\/td>\n<\/tr>\n<tr style=\"background: #ffffff;\">\n<td style=\"border: 1px solid #ddd; padding: 10px; text-align: left;\"><strong>Host Connectivity<\/strong><\/td>\n<td style=\"border: 1px solid #ddd; padding: 10px; text-align: center; vertical-align: middle;\">PCIe<\/td>\n<\/tr>\n<tr style=\"background: #f6faff;\">\n<td style=\"border: 1px solid #ddd; padding: 10px; text-align: left;\"><strong>RF \/ Data Connectivity<\/strong><\/td>\n<td style=\"border: 1px solid #ddd; padding: 10px; text-align: center; vertical-align: middle;\">Multi-gigabit transceivers connecting FPGA processing to RF front-ends and network infrastructure<\/td>\n<\/tr>\n<tr style=\"background: #ffffff;\">\n<td style=\"border: 1px solid #ddd; padding: 10px; text-align: left;\"><strong>Key FPGA Benefit<\/strong><\/td>\n<td style=\"border: 1px solid #ddd; padding: 10px; text-align: center; vertical-align: middle;\">Deterministic low-latency processing for continuously changing wireless channels<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div class=\"scroll-hint\" aria-hidden=\"true\">Swipe horizontally to view all columns \u2192<\/div>\n<h3>Scaling Wireless Infrastructure Efficiently<\/h3>\n<p>Massive MIMO systems depend on beamforming to reduce interference and improve link quality. Adding antennas improves accuracy. For example, TU Berlin\u2019s prototype\u2014designed by Dr.-Ing. Andreas Benzin\u2014uses 64 antennas driven by a single Gidel FPGA board. In commercial designs, one Gidel board could support up to 192 antennas. Moreover, multiple boards can be added to scale the platform further.<\/p>\n<p>This work is an important milestone in ongoing FPGA wireless research focused on scaling antenna arrays and improving spectral efficiency.<\/p>\n<h3>Long-Term Engineering Partnership<\/h3>\n<p>Gidel has supported the TU Berlin research team for more than 15 years. \u201cIt all started in 2005,\u201d notes Dr.-Ing. Andreas Kortke. \u201cWe were able to focus on our algorithms from day one instead of wasting time building drivers or host interfaces.\u201d<\/p>\n<p>In addition, upgrading to newer Gidel platforms remained simple thanks to consistent hardware architecture and a stable API across generations.<\/p>\n<h3>Enabling the Future of Wireless Connectivity<\/h3>\n<p>As IoT, autonomous vehicles, and edge computing continue to evolve, the demand for fast and reliable wireless systems will grow. Gidel\u2019s FPGA technology helps meet these requirements by providing high throughput, deterministic real-time processing, and a scalable platform for advanced communication research.<\/p>\n<p>As Gidel CEO Reuven Weintraub explains: \u201cThis application demonstrates the potential of our FPGA technology whenever high throughput and real-time processing are required.\u201d<\/p>\n<h2>Related Gidel FPGA Platforms<\/h2>\n<p>Gidel provides FPGA platforms for high-performance computing, high-speed data processing, and custom communication architectures. Depending on FPGA resources, transceiver requirements, host connectivity, and system integration needs, relevant Gidel platforms include:<\/p>\n<ul>\n<li><a href=\"https:\/\/gidel.com\/product_category\/products\/fpga-compute-acceleration\/\" target=\"_blank\" rel=\"noopener\"><strong>FPGA Compute Accelerators<\/strong><\/a><\/li>\n<li><a href=\"https:\/\/gidel.com\/product_category\/products\/mini-fpga-modules\/\" target=\"_blank\" rel=\"noopener\"><strong>Mini FPGA Modules<\/strong><\/a><\/li>\n<\/ul>\n<h2>FPGA Development with ProcDev Kit<\/h2>\n<p>Gidel\u2019s <a href=\"https:\/\/gidel.com\/product\/fpga-programming-sdk\/\" target=\"_blank\" rel=\"noopener\">ProcDev Kit<\/a> provides the development environment for implementing custom FPGA processing on Gidel hardware. Researchers can develop application-specific FPGA logic while using Gidel\u2019s hardware infrastructure, APIs, host communication, memory interfaces, and high-speed data paths.<\/p>\n<p>For wireless research and Massive MIMO applications, this allows engineering teams to focus on algorithms such as beamforming, signal processing, and real-time communication without developing the complete FPGA-to-host infrastructure from the ground up.<\/p>\n<h2>FPGA Wireless Research and Gidel Resources<\/h2>\n<p>Learn more about Gidel <a href=\"https:\/\/gidel.com\/product_category\/products\/fpga-compute-acceleration\/\" target=\"_blank\" rel=\"noopener\">FPGA Compute Accelerators<\/a>.<\/p>\n<p><!-- OUTBOUND LINK --><\/p>\n<p>About the TU Berlin EECS Department: <a href=\"https:\/\/www.eecs.tu-berlin.de\/menue\/fakultaet_iv\/parameter\/en\/\" target=\"_blank\" rel=\"noopener\">TU Berlin EECS<\/a>.<\/p>\n<h3>Download the Massive MIMO System Chart (JPG)<\/h3>\n","protected":false},"excerpt":{"rendered":"<p>Discover how TU Berlin uses Gidel technology in FPGA wireless research to enable real-time Massive MIMO processing. The project demonstrates how Gidel FPGA Compute Accelerators provide the deterministic performance, high throughput, and very low latency required for advanced 5G and 6G communication systems.<\/p>\n","protected":false},"author":3,"featured_media":428,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[11,10],"tags":[152,221],"class_list":["post-218","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-case-studies","category-press-release","tag-fpga-processing","tag-high-performance-computing-hpc"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>FPGA Wireless Research | TU Berlin Massive MIMO Breakthrough<\/title>\n<meta name=\"description\" content=\"FPGA wireless research advances at TU Berlin using Gidel hardware to process Massive MIMO 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