Coded Caching

Coded caching aims to improve efficiency in content delivery networks by strategically storing data closer to users, reducing reliance on central servers and minimizing network congestion. Current research explores optimizing caching strategies under various constraints, including adversarial request patterns, limited resources (energy, bandwidth), and the integration of coded caching with other techniques like beamforming and machine learning models for video compression and image recognition. This field is significant for its potential to alleviate the growing strain on network infrastructure, particularly for bandwidth-intensive applications like video streaming and image processing, by enabling faster and more efficient content delivery.