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QoE-Driven Approaches for Immersive Media Streaming: Evaluation and Optimization

Grant number: 24/22637-5
Support Opportunities:Scholarships abroad - Research Internship - Doctorate
Start date: July 30, 2025
End date: July 29, 2026
Field of knowledge:Engineering - Electrical Engineering - Telecommunications
Principal Investigator:Christian Rodolfo Esteve Rothenberg
Grantee:Md Tariqul Islam
Supervisor: Christian Timmerer
Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Institution abroad: Alpen-Adria-Universität Klagenfurt, Austria  
Associated to the scholarship:23/05175-5 - Optimizing QoE for XR services: evaluation and analysis from network perspective, BP.DR

Abstract

Networking and multimedia technology advancements have driven the growth of Emerging Media Applications, particularly those offering immersive experiences through eXtended Reality (XR). XR includes a wide range of applications, such as telepresence, telesurgery, and the metaverse, which effectively blend physical and digital realms. These applications depend on advanced immersive video formats, including holographic/volumetric media content, which offer six degrees of freedom for a fully immersive experience. Achieving seamless full immersion requires high bandwidth and low latency. However, the demanding requirements of holographic/volumetric streaming at the network and transport layers make it challenging to maintain smooth playback in fluctuating network conditions. To meet the intensive demands of these applications, 5G and beyond networks are anticipated to incorporate advanced solutions like Edge Computing, SDN, NFV, and Network Slicing. In contrast, the air interface in mobile networks faces challenges due to high-frequency transmission and varying conditions that lead to packet loss. Traditional transport protocols like TCP struggle to cope with the high bandwidth packet loss typical in 5G environments.This BEPE internship proposal aims to optimize transport-layer protocols, specifically focusing on QUIC, to enhance immersive streaming. QUIC's stream prioritization supports efficient view and non-viewport data handling in volumetric video, enabling reliable, latency-sensitive content transmission. This strategy improves reliability and real-time interactivity by prioritizing viewport data over less critical content, reducing network overload. It offers a balanced solution for bandwidth efficiency and user experience, avoiding the retransmission inefficiencies of TCP and the complexities of error correction techniques in the face of packet loss.

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