Network Paradigm

The network paradigm is undergoing a significant shift, driven by the need for more deterministic, intelligent, and efficient network management to support demanding applications like the Internet of Things (IoT) and ultra-reliable low-latency communications (URLLC). Current research focuses on integrating computing and networking capabilities, employing machine learning (particularly reinforcement learning and federated learning) to optimize resource allocation, traffic steering, and virtual network function deployment. This evolution promises improved network performance, enhanced security and privacy through decentralized control, and more adaptable infrastructure for diverse applications.