On May 27, Metanoia Communications unveiled an AI-powered 5G Open SDR (Software-Defined Radio) platform at Wireless Japan 2026 in Tokyo, positioning the technology as a key enabler of scalable, energy-efficient AI-RAN deployment. Demonstrated in West Hall 4 at booth W-61, the platform combines FR1 and FR2 Open RAN solutions built on the company’s MT2824 5G system-on-chip and its MOSART (Metanoia Open Source Advanced Radio Technology) SDR foundation, aiming to give operators and original equipment manufacturers greater flexibility as next-generation networks evolve.
The platform is built around a software-defined architecture that allows telecom operators to integrate artificial intelligence workloads directly into radio access networks while extending hardware lifecycles through software updates. This approach contrasts with traditional fixed-function radio systems, which typically limit adaptability and require hardware replacement for significant performance improvements. By separating hardware and software, Metanoia’s solution aims to reduce total cost of ownership and improve network responsiveness to emerging edge AI applications.
The MT2824-based system supports the O-RAN Alliance’s WG7 white-box architecture and includes several deployment options, such as a 4T4R 24 dBm indoor ORU, 4T4R 5W and 15W FR1 outdoor ORUs, and a 50 dBm FR2 outdoor radio designed for fixed wireless access and private network scenarios. To accelerate commercialization, the company also offers hardware design kits and semi-custom software development kits, enabling partners to integrate solutions more quickly and shorten development cycles.
At the software layer, MOSART runs on an open Linux-based SDR stack combined with the company’s MRAS (Metanoia Radio Acceleration Subsystem) digital signal processing acceleration technology. This architecture is designed to give operators greater control over feature deployment, network security, and lifecycle management while avoiding dependence on closed ecosystems.
CEO Dr. Stuart Wu said the shift to software-defined radio is fundamental to building scalable, cost-effective AI-RAN infrastructure. He emphasized that open platforms such as MOSART allow operators to continuously evolve their networks while supporting new AI-driven services at the edge.
The Wireless Japan 2026 exhibition reflects growing industry momentum behind Open RAN and AI-integrated network architectures, as telecom operators increasingly seek flexible, software-centric solutions to meet rising data demand and enable new enterprise and private network use cases.