BLINC: Context-Specific Causal Learning for Automated RAN Configuration

Collection of recent networking and wireless-systems research covering causal RAN configuration, loss-resilient volumetric videoconferencing, 5G–IoT gateway federation, multi-connectivity for UAVs, robust LoRa synchronization, kernel-level socket I/O optimization, LEO-satellite emulation, MEC-driven dynamic inductive charging, SFC partitioning with transformers, and integrating logic into generative ML for networking. Key contributions: BLINC — an LLM-assisted Bayesian-network approach for context-aware RAN configuration (private 5G deployment; +63.5% throughput, −19.7% BLER vs. data-only bas​