Assessing QoE in Edge-Delivered Holographic Streaming with a Programmable Hardware Testbed

Holographic-type communication demands multi-Gbps throughput and ultra-low latency, posing significant challenges to current 5G networks. This demo work presents a programmable testbed built on the P7 network emulator, which overcomes the throughput constraints of conventional platforms. Our demonstration deploys three edge computing slices—one at a far edge and two at near edges—to support volumetric media streaming directly to VR head-mounted display. By facilitating precise adjustment of network metrics such as latency and packet loss across the P7-enabled slices, the testbed allows users to visually observe the resulting effects on holographic content in VR. Although automated measurement of Quality of Experience (QoE) parameters are not incorporated, the testbed provides a valuable experimental environment where researchers can subjectively evaluate the relationship between network conditions and perceived quality, thereby gaining insights into optimizing network performance for enhanced Quality of Service (QoS).

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Published
2025-06-23
DOI
https://doi.org/10.1109/netsoft64993.2025.11080613
Primary Topic
Advanced Optical Imaging Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Assessing QoE in Edge-Delivered Holographic Streaming with a Programmable Hardware Testbed

Fabricio Rodríguez, Rafael P. Silva Clerici, Vanessa Testoni, Christian Esteve Rothenberg et al.
Advanced Optical Imaging Technologies
article

Assessing QoE in Edge-Delivered Holographic Streaming with a Programmable Hardware Testbed

Fabricio Rodríguez, Rafael P. Silva Clerici, Vanessa Testoni, Christian Esteve Rothenberg, Md Tariqul Islam, Alan Teixeira da Silva
article en

Abstract

Holographic-type communication demands multi-Gbps throughput and ultra-low latency, posing significant challenges to current 5G networks. This demo work presents a programmable testbed built on the P7 network emulator, which overcomes the throughput constraints of conventional platforms. Our demonstration deploys three edge computing slices—one at a far edge and two at near edges—to support volumetric media streaming directly to VR head-mounted display. By facilitating precise adjustment of network metrics such as latency and packet loss across the P7-enabled slices, the testbed allows users to visually observe the resulting effects on holographic content in VR. Although automated measurement of Quality of Experience (QoE) parameters are not incorporated, the testbed provides a valuable experimental environment where researchers can subjectively evaluate the relationship between network conditions and perceived quality, thereby gaining insights into optimizing network performance for enhanced Quality of Service (QoS).

Universidade Estadual de Campinas (UNICAMP) (BR), Telefónica (Spain) (ES)
European Commission, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Openalex Percentile: Top 76%
Advanced Optical Imaging Technologies
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Assessing QoE in Edge-Delivered Holographic Streaming with a Programmable Hardware Testbed — Fabricio Rodríguez, Rafael P. Silva Clerici, et al. · (2025) | TGRS Research Map | TGRS