A Lightweight Cross-Feature Slicing Model for Real-Time Resource Allocation in 6G Edge Networks
The 6G wireless networks emerge, the need for realtime, efficient resource allocation in Internet-of-Vehicles (IoV) systems becomes critical. Existing machine learning approaches achieve high accuracy, but produce models of several hundred kilobytes, making them unsuitable for deployment on IoT-class Multi-access Edge...