Metanoia Communications on May 27 introduced an AI-powered 5G Open SDR (Software-Defined Radio) platform at Wireless Japan 2026 in Tokyo, positioning the technology as a key enabler for scalable and energy-efficient AI-RAN deployment. Demonstrated at West Hall 4, Booth W-61, the platform integrates FR1 and FR2 Open RAN radio solutions built on the company’s MT2824 5G system-on-chip and its MOSART (Metanoia Open Source Advanced Radio Technology) SDR foundation, aiming to provide operators and original design manufacturers with greater flexibility in next-generation network evolution.
The platform is designed around a software-defined architecture that allows telecom operators to integrate artificial intelligence workloads directly into radio access networks while extending hardware lifecycle through software upgrades. This approach contrasts with conventional fixed-function radio systems, which typically limit adaptability and require hardware replacement for major performance improvements. By decoupling hardware and software, Metanoia’s solution seeks to lower total cost of ownership while improving network responsiveness to emerging edge AI applications.
The MT2824-based system supports the O-RAN Alliance’s WG7 “white-box” architecture and includes multiple deployment configurations, 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 is also offering hardware design kits and semi-turnkey software development kits, enabling faster integration and reduced development cycles for partners.
At the software layer, the MOSART platform operates 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 intended to give operators greater control over feature deployment, network security, and lifecycle management while avoiding reliance on proprietary ecosystems.
Chief Executive Officer Dr. Stewart Wu said the transition toward software-defined radio is fundamental to building scalable and cost-effective AI-RAN infrastructure, emphasizing that open platforms such as MOSART allow operators to continuously evolve their networks while supporting new AI-driven services at the edge.
The showcase at Wireless Japan 2026 highlights growing industry momentum behind Open RAN and AI-integrated network architectures, as telecom providers increasingly seek flexible, software-centric solutions to meet rising data demands and enable new enterprise and private network use cases.