DL-Based Minimizing Virtual Environment Resource Usage in 6G Cellular Networks

Abstract

The efficient Virtual Reality (VR) data delivery in 6G cellular networks is challenging, as it requires high throughput and ultra-reliable low-latency communication. In this work, VR based Software-Defined Network (SDN) model is proposed for efficient uplink-downlink resource management in 6G networks that guarantees low latency and high data rates. The suggested solution achieves End-to-End (E2E) management. among VR users with centralized resource management involving supervised deep learning (SDL) and unsupervised deep learning (UDL). Comparative results is demonstrated, which show the performance differences between these approaches in 6G networks that improve the transmission of VR video, enable such improvement.