What do we offer?
SLICES-Madrid offers access to a complete experimental 5G platform, encompassing both user equipment, radio access and core. It encompasses an O-RAN compatible deployment, currently based on Open Air Interface (though additional RAN and core platforms are being deployed).
Additionally, this testbed can be used to test multidomain setups with deterministic capabilities, allowing external users to test their own solutions on our hardware, as well as develop new features for the existing solutions provided. Currently, connections with domains as WiFi or wired TSN are supported in our testbed.
USRPs (B210, N310, X410) are used for the gNB and UE. Commercial UEs are also available and a Amarisoft UE emulator (supporting up to 64 UE) can also be used. Additionally, a channel emulator (F8800B PROPSIM F64 Channel Emulator) has already been integrated into the platform.
Equipment charasteristics
Universal Software Radio Peripherical (USRP) Devices:
- USRP X410: Designed for demanding RF environments, this device supports ultra-wideband channels of up to 400 MHz, making it well suited for advanced research and next-generation wireless systems.
- USRP N310: This device supports channels up to 100 MHz, providing robust capabilities for high-bandwidth applications.
- USRP B210: Ideal for lower bandwidth requirements, this device supports channels up to 40 MHz.
Server Infrastructure:
- DELL Power Edge R7615 Server: Role: Houses the OAI Core Network, forming the backbone of our network infrastructure.
- DELL Power Edge TT50 Server: Functionality: Hosts the gnB OAI radio, connected to USRP N310 via SFP (10GB) and USRP B210 via USB3.0.
- ProServe AB7-1004 high computing servers
User Equipment (UE) Available:
- Amarisoft Multi-UE Emulator: Can simulate up to 64 UEs, allowing for extensive testing and research scenarios.
- Comercial UE: Equipment with a SIM car for authentication to the OAI CORE.
Example escenario
Are you interested?
If you are a researcher and want to get access to the Blueprint 5G, please fill the form below:
Queries for additional information should be sent to: daniel.lorenzo@networks.imdea.org
Acknowledgment
This work has been partially funded by ESFRI-SLICES-CM 2024 – ESFRI-SLICES-CM 2025 through the Consejería de Educación, Universidades, Ciencia y Portavocía of the Comunidad de Madrid, and by the TEST-6G project (TSI-064100-2023-12).