Haitian Pang

TL;DR: DeepCast is the first edge-assisted framework that applies the advance of DRL to explicitly accommodate personalized QoE optimization for crowdcast services and the results demonstrate the superiority of the DeepCast framework and its DRL-based solution.

TL;DR: DeepCache, a deep-learning-based solution to understand the request patterns in individual base stations and accordingly make intelligent cache decisions is developed, and a cooperation strategy for nearby base stations to collectively serve user requests is developed.

TL;DR: An edge-assisted intelligent caching replacement framework LSTM-C based on deep Long Short-Term Memory network, which contains two types of modules: four basic modules manage the coordination among content requests, content replace, cache space, service management; three learning-based modules enable the online deep learning to provide intelligent caching strategy.

TL;DR: A propagation- and mobility-aware content replication strategy for edge- network regions is proposed, in which social contents are assigned to users in edge-network regions according to a joint consideration of social graphs, content propagation, and user mobility.

TL;DR: The architecture, called iView, intelligently determines video quality and reduces the latency without pre-programmed models or assumptions and advocate multimodal learning and deep reinforcement learning in the design.