MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641086908 A) filed by Dayananda Sagar University on July 16, 2026, for Digital Twin Interoperability Frameworks For Future Communication Systems.
Inventors include Dr. Rupam Bhagawati, Cse,dsu,bengaluru; Shubhrajyoti Paul Cse, Dsu Bengaluru; Soham Ghosh, Cse,dsu, Bengaluru; Sonali Bairagi, Cse, Dsu, Bengaluru; Suhita Biswas,cse,dsu,bengaluru; Dr. Shadab Siddiqui, Cse,dsu,bengaluru; Dr. Shahin Fatima, Cse,dsu,bengaluru; and Vivek Gupta, Cse Ai & Ds, Dsu Bengaluru.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: The present invention discloses a Digital Twin Interoperability Framework (DTIF) for Future Communication Systems, providing a unified architecture that enables seamless interoperability, synchronization, and intelligent collaboration among heterogeneous digital twins operating across next-generation communication environments. The framework integrates semantic interoperability, ontology-based knowledge representation, adaptive digital twin synchronization, artificial intelligence (AI)-driven orchestration, multi-agent collaboration, and explainable decision support to facilitate efficient communication between digital twins representing network infrastructure, radio access networks, cloud-edge resources, Internet of Things (IoT) devices, cyber-physical systems, and virtual network functions. The proposed framework comprises a Digital Twin Registration Layer for managing heterogeneous twin instances, a Semantic Interoperability Engine that harmonizes diverse data models and communication protocols through ontology mapping and knowledge graphs, an Adaptive Synchronization Manager that continuously maintains consistency between physical entities and their virtual counterparts, an AI-Based Orchestration Engine that coordinates synchronization workflows and resource allocation, and a Multi-Agent Collaboration Layer that performs distributed reasoning across communication, security, mobility, edge computing, and optimization domains. A collaborative consensus mechanism evaluates semantic agreement and confidence among agent-generated interoperability inferences, while an Explainable Intelligence Module generates transparent interoperability reports including synchronization status, semantic mappings, optimization recommendations, confidence levels, and policy compliance. The framework further incorporates a Human-Centered Management Interface providing real-time visualization, decision support, auditability, and operator interaction. The invention enables vendor-neutral interoperability among heterogeneous digital twin platforms, significantly improving synchronization accuracy, communication efficiency, autonomous network optimization, scalability, and explainability for future communication systems including 5G Advanced, 6G, Open RAN, industrial IoT, smart cities, satellite communications, and intelligent cyber-physical infrastructures. The proposed framework provides a secure, scalable, and standards-oriented foundation for interoperable digital twin ecosystems supporting autonomous and intelligent network management.
Disclaimer: Curated by HT Syndication.
