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Gaganpreet Singh

Gaganpreet Singh

Extensible 5G Architecture for Autonomic Networking: A Layered Framework for Intelligent Connectivity

Discover how an extensible 5G context enables autonomic networking through open APIs, layered network functions, and cognitive control loops.

AI and ML Enabled Knowledge Plane (KP) in Telecom: Architecture, Control Loops, and Decision Elements

Learn how AI/ML-powered Knowledge Plane architectures optimize 5G networks with smart decision elements, control loops, and real-time automation.

Understanding Logical Layers in End-to-End Network Slicing for 5G and Beyond

Learn how end-to-end logical layers, from infrastructure to service management, enable intelligent 5G network slicing and abstraction through open APIs.

Service-Based Framework with Autonomic Networking: A Future-Ready Architecture for 5G and Beyond

Discover how a service-based framework with autonomic networking revolutionizes 5G by combining control, data, assurance, and orchestration planes.

Understanding the NDL Architectural Context in Modern Telecom Networks

Dive into the NDL architectural context—a framework that connects OSS, Network Data Layer, and 5G Core Networks using northbound/southbound APIs for efficient telecom operations.

NEC 5G Vertical Business Platform: Enabling Industry-Specific Digital Transformation with Cloud and Network Ecosystems

Understand NEC’s 5G Vertical Business Platform—a secure, cloud-native framework enabling smart industry use cases through a hybrid network ecosystem.

Understanding the Ontology of AI, Machine Learning, and Deep Learning

Delve into the structured ontology of Artificial Intelligence, Machine Learning, and Deep Learning, with clarity on their definitions, overlaps, and telecom use cases.

System Context for Autonomic Networking Operation in 5G Networks

Understand the system context of autonomic networking in 5G, including intelligent assurance, problem detection, orchestration, and closed-loop automation.

Broad Classification of Machine Learning: Supervised, Unsupervised & Reinforcement Learning

Understand the key types of machine learning—Supervised, Unsupervised, and Reinforcement Learning—and their role in building intelligent telecom systems and networks.

Federated Learning in Edge Cloud: Architecture, Workflow & 5G Use Cases

Explore how Federated Learning enables decentralized AI training on edge devices while preserving data privacy and enhancing real-time intelligence in 5G networks.