CTTC EXPERIMENTAL PLATFORM
EXPERIMENTAL PLATFORMS
CTTC Experimental Platform:
It is a 5G testbed located at CTTC premises, and is based on a Cloud Radio Access Network (C-RAN) architecture, with a 5G core and a fully virtualized 5G RAN and an optical/wireless Fronthaul. Whitebox servers are used to implement all RAN functionalities, i.e. the 5G gNB, Remote Radio Head (RRH), and BaseBand Unit (BBU) with the OAI 5G software stack.
Moreover, the 5G testbed supports an optical/wireless Fronthaul based on 10 GigE optical and mmWave links, allowing the 5G RAN functions to be split between the BBU and the RRHs. The RRH units are implemented with Small Form Factor PCs (NUC) that are connected to a USRP X310, which implements the RF functions. Alternatively, 5G gNBs are connected directly to the 5G EPC via 10 GigE optical backhaul connections. This 5G testbed supports all traffic types.
CTTC Experimental Platform
EURECOM Experimental Platform:
EUR operates a 5G trial facility at Sophia Antipolis, France, which is part of the 5GPPP infrastructure project 5G-EVE. The trial site includes 20 36-core servers for 5G NR procedures (precoding, L1, MAC-RLC), LTE/LTE-M/NB-IoT network components, and to host (v)EPC and 5G Core software. The site is fully OpenAirInterface-powered, and the OAI components (core and RAN) are available for Virtualised deployment (e.g., as JuJu charms and with the potential to be orchestrated using OSM). Both COTS (4G) and OAI-based UEs are supported.
Regarding the transport network infrastructure, 2 distribution switches with 20Gbps optical interconnections driving up to 10 Remote Radio Units (RRUs), each with a 1GBase-T copper link, to a 1Tbs switch are installed. The EURECOM facility is interconnected with GEANT via the French academic network (RENATER). The introduction of 5G NR/core features depends on their development progress and availability in the OAI community. Initial 5G NR features have already started becoming available in OAI.
EURECOM Experimental Platform
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 871780
