activity
20222025
collaborators

6 papers

cs.IT2025

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…

cs.IT2025

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…

cs.NI2025

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…

cs.NI2024

Multi-Task Decision-Making for Multi-User 360 Video Processing over Wireless Networks

Babak Badnava, Jacob Chakareski, Morteza Hashemi

We study a multi-task decision-making problem for 360 video processing in a wireless multi-user virtual reality (VR) system that includes an edge computing unit (ECU) to deliver 36…

cs.NI2023

Energy-Efficient Deadline-Aware Edge Computing: Bandit Learning with Partial Observations in Multi-Channel Systems

Babak Badnava, Keenan Roach, Kenny Cheung +2

In this paper, we consider a task offloading problem in a multi-access edge computing (MEC) network, in which edge users can either use their local processing unit to compute their…

cs.NI2022

QoE-Centric Multi-User mmWave Scheduling: A Beam Alignment and Buffer Predictive Approach

Babak Badnava, Sravan Reddy Chintareddy, Morteza Hashemi

In this paper, we consider the multi-user scheduling problem in millimeter wave (mmWave) video streaming networks, which comprise a streaming server and several users, each request…