“We are delighted to partner with the global O-RAN community. Our engagement with Mavenir for this successful demonstration is yet another step forward towards building 5G systems with open network architecture”
The Global Plugfest, which was a first for the India region participation, showcased the growing maturity of the O-RAN ecosystem. The event allowed participants to integrate and validate conformance & interoperability of the solutions implemented based on O-RAN defined architecture & specifications to accelerate readiness of solutions for commercial deployments.
Recommended AI News: Future FinTech Appointed Yang Liu as Chief Operation Officer
The O-RAN Intelligent Controller (RIC) demonstrated by Mavenir and Airtel makes use of advanced machine learning algorithms to optimize network performance. This demonstration showed RIC in action, ingesting configuration data and performance metrics from a demonstration RAN, and iteratively optimizing the configuration parameters to achieve improvement in key performance indicators. The target objective function is configurable by the operator, guiding the optimization process to meet potentially dynamically changing business requirements at runtime. Scope of demonstration also includes O-RAN O1 interface testing of Mavenir Non-RealTime RIC.
Pardeep Kohli, President and CEO Mavenir, said, “We are excited to partner with Airtel in the first global O-RAN plugfest event that enables re-thinking of traditional network deployment models.”
Recommended AI News: Blackbaud Announces Expanded Relationship with the Salvation Army Australia
“We are delighted to partner with the global O-RAN community. Our engagement with Mavenir for this successful demonstration is yet another step forward towards building 5G systems with open network architecture,” said Randeep Sekhon, CTO at Bharti Airtel.
Kuntal Chowdhury, Senior Vice-President and General Manager of Mavenir’s AI & Analytics business unit, said, “Optimization of network configuration parameters in traditional network deployments is characterized by high cost, the need for expert technicians, and long delays as data is collected through drive-testing. Through the intelligent application of the latest machine learning techniques, we can dramatically reduce the cost and time required for network optimization at network deployment time and throughout the life of the network. Thanks to Airtel and O-RAN ALLIANCE for hosting this event.”
Recommended AI News: Canon Identifies and Addresses Data Security Incident