Predicting Conflict Impact on Performance in O-RAN
A method to predict how much competing AI applications will degrade network performance before they are deployed.
A method to predict how much competing AI applications will degrade network performance before they are deployed.
A study on how mechanical antenna pointing errors affect high-frequency satellite links, with design guidelines for next-generation satellite communications.
A framework that detects and predicts conflicts between AI applications competing to control a cellular network, preventing performance degradation.
Methods for detecting and resolving conflicts between competing AI applications sharing control of a cellular network.
A framework that automatically deploys and tests next-generation cellular network software without human intervention.
A wearable system that predicts epileptic seizures before they happen using body sensors and AI, achieving over 97% accuracy.
A network system enabling drones to be remotely controlled beyond visual range using intelligent wireless infrastructure.
Experimental study showing that on-demand wake-up radios dramatically extend battery life in drone-assisted wireless sensor networks.
A system monitoring vineyard water stress by fusing ground sensor data and satellite imagery to guide irrigation decisions.
A study on how well commercial cellular networks can support real-time drone control beyond visual range, validated using both real and emulated networks.