The scalable and adaptive EdgeQ platform targets communications for both small-cell and macro-cell applications in a software-defined manner. Its scalable architecture enables high throughput performance across a large set of concurrent users, within a compact power envelope.
EdgeQ has developed a Base Station-on-a-Chip, with the aim to give operators, cloud service providers and enterprises the ability to build, configure and deploy public and private networks that are simpler, more scalable, and affordable.
According to the company its approach is to offer an all-in-one chip that delivers multi-mode 4G and 5G convergence along with artificial intelligence. It offers high throughput and low power consumption while significantly reducing the total cost of ownership required for deploying and upgrading public and private 5G networks.
“Designing a software-defined modem that effectively shrinks an entire base station onto a single chip is challenging. We must address the issues of a highly complex design and management of high-velocity packets being transferred across the die,” said Raghulkumaran Gunaseelan, SoC NoC architect at EdgeQ. “Our Base Station-on-a-Chip requires a NoC interconnect that is configurable and provides high bandwidth. Arteris gave us the flexibility, ease of use and proven IP that mitigated overall design risks.”
Arteris' NoC IP, with its analysis capabilities, enables efficient throughput and latency assessments, along with low power consumption. This accelerates the evaluation and modification processes, including debugging features necessary to mitigate risk for design considerations and time-to-market pressures. FlexNoC’s ability to facilitate quick pipeline additions without extensive design verification further streamlined EdgeQ's development process.
"The global market for private networks, including 4G LTE and 5G, will grow at over 30% per year during this decade, particularly as it intersects with AI,” said Laurent Moll, COO of Arteris.
