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FPGA Wireless Research Powered by Gidel Technology

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TU Berlin Massive MIMO FPGA wireless research system using Gidel hardware for real-time 5G and 6G processing

FPGA Wireless Research for Massive MIMO and 5G/6G

TU Berlin’s 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.

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.

Advancing FPGA-Based Wireless Research for Massive MIMO

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.

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.

Real-Time Challenges in Next-Generation Wireless Systems

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.

FPGAs are well suited to this task because they provide predictable timing, parallel processing, and very low latency.

How TU Berlin Advances FPGA Wireless Research with Gidel Technology

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—recommended by Intel—to ensure high throughput and precise timing.

Real-Time Processing for Wireless FPGA Research

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.

Additionally, Altera Arria 10 FPGAs were selected for their floating-point processing capabilities and high data bandwidth.

TU Berlin Massive MIMO FPGA Wireless Research Architecture
ArchitectureResearch System Configuration
Research FocusReal-time Massive MIMO, beamforming, SDMA, and wireless signal processing
FPGA PlatformGidel FPGA board based on Altera Arria 10
Prototype Antennas64 antennas
Simultaneous TerminalsUp to 8 terminals in the prototype
ScalabilityUp to 192 antennas per Gidel board in the described commercial architecture, with multi-board expansion
Host ConnectivityPCIe
RF / Data ConnectivityMulti-gigabit transceivers connecting FPGA processing to RF front-ends and network infrastructure
Key FPGA BenefitDeterministic low-latency processing for continuously changing wireless channels

Scaling Wireless Infrastructure Efficiently

Massive MIMO systems depend on beamforming to reduce interference and improve link quality. Adding antennas improves accuracy. For example, TU Berlin’s prototype—designed by Dr.-Ing. Andreas Benzin—uses 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.

This work is an important milestone in ongoing FPGA wireless research focused on scaling antenna arrays and improving spectral efficiency.

Long-Term Engineering Partnership

Gidel has supported the TU Berlin research team for more than 15 years. “It all started in 2005,” notes Dr.-Ing. Andreas Kortke. “We were able to focus on our algorithms from day one instead of wasting time building drivers or host interfaces.”

In addition, upgrading to newer Gidel platforms remained simple thanks to consistent hardware architecture and a stable API across generations.

Enabling the Future of Wireless Connectivity

As IoT, autonomous vehicles, and edge computing continue to evolve, the demand for fast and reliable wireless systems will grow. Gidel’s FPGA technology helps meet these requirements by providing high throughput, deterministic real-time processing, and a scalable platform for advanced communication research.

As Gidel CEO Reuven Weintraub explains: “This application demonstrates the potential of our FPGA technology whenever high throughput and real-time processing are required.”

Related Gidel FPGA Platforms

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:

FPGA Development with ProcDev Kit

Gidel’s ProcDev Kit provides the development environment for implementing custom FPGA processing on Gidel hardware. Researchers can develop application-specific FPGA logic while using Gidel’s hardware infrastructure, APIs, host communication, memory interfaces, and high-speed data paths.

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.

FPGA Wireless Research and Gidel Resources

Learn more about Gidel FPGA Compute Accelerators.

About the TU Berlin EECS Department: TU Berlin EECS.

Download the Massive MIMO System Chart (JPG)

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