Presentations available from the first day of the event include a look at the addition of support for Lime Microsystems' popular open LimeSDR devices, via the open source Lime Suite software, to the OsmoTRX project.
Low-cost free and open source design, based on the LMS7002M and the Raspberry Pi Compute Module 3, combines powerful software defined radio (SDR) capabilities with general purpose processing (GPP) for everything from cellular network deployment to amateur radio projects.
Lime Microsystems named as a provider of end-to-end technology for the CrowdCell Project effort to produce an open source cellular relay platform using general purpose processors (GPP) and software defined radio (SDR) technologies.
This is just a short post to express our thanks to everyone who came along to the CrowdCell Hackathon launch in Madrid, and to the La Nave team for the excellent venue and being great hosts. Lastly, of course, to Vodafone for their commitment to a decentralised, app-enabled wireless future.
Part of the organisation's Connected Society programme, the initiative includes grants of up to £300,000 and full support including the identification of commercially-viable sites for deployment and the provision of technical and performance reports.
"Correctly interpreting the GNSS SDR sampled datasets produced or consumed by these systems has historically been a cumbersome and error-prone process," the Institute of Navigation explains of its efforts to improve interoperability.
"The first mobile technology that, by design, enables free standing setup in individual locations, offers new companies the opportunity to control their own networks, and enables operators to manage computing at the edge as a new business model for the future," says Dr. Jeremy Silver.
"We're going toward a disaggregation. That's one of the ways forward," says Clauberg. "We're separating hardware and software. We can use the best of breed on the hardware side and likewise on the software side. This is helping accelerate innovation for this industry."
The company looks at real-world examples where the ability to connect Internet of Things sensor networks over high-bandwidth low-latency 5G connectivity to general purpose processing platforms running artificial intelligence algorithms is already making measurable improvements in yield, health, and safety.