5 papers
ASL360: AI-Enabled Adaptive Streaming of Layered 360 Video over UAV-assisted Wireless Networks
Alireza Mohammadhosseini, Jacob Chakareski, Nicholas Mastronarde
We propose ASL360, an adaptive deep reinforcement learning-based scheduler for on-demand 360 video streaming to mobile VR users in next generation wireless networks. We aim…
ElasticVR: Elastic Task Computing in Multi-User Multi-Connectivity Wireless Virtual Reality (VR) Systems
Babak Badnava, Jacob Chakareski, Morteza Hashemi
Diverse emerging VR applications integrate streaming of high fidelity 360 video content that requires ample amounts of computation and data rate. Scalable 360 video tiling enables…
Bayes-Split-Edge: Bayesian Optimization for Constrained Collaborative Inference in Wireless Edge Systems
Fatemeh Zahra Safaeipour, Jacob Chakareski, Morteza Hashemi
Mobile edge devices (e.g., AR/VR headsets) typically need to complete timely inference tasks while operating with limited on-board computing and energy resources. In this paper, we…
Neural-Enhanced Rate Adaptation and Computation Distribution for Emerging mmWave Multi-User 3D Video Streaming Systems
Babak Badnava, Jacob Chakareski, Morteza Hashemi
We investigate multitask edge-user communication-computation resource allocation for video streaming in an edge-computing enabled millimeter wave (mmWave) multi-user vi…
Learning Driven Elastic Task Multi-Connectivity Immersive Computing Systems
Babak Badnava, Jacob Chakareski, Morteza Hashemi
In virtual reality (VR) environments, computational tasks exhibit an elastic nature, meaning they can dynamically adjust based on various user and system constraints. This elastici…