@inproceedings{4237fec4509245319e9e8260575607d3,
title = "Application-level performance of cross-layer scheduling for social VR in 5G",
abstract = "Social VR aims at enabling people located at different places to communicate and interact with each other in a natural way. It poses extremely strong throughput and latency requirements on the underlying communication networks. This paper investigates the potential of using cross-layer design approaches for radio access scheduling in order to realize these challenging requirements in (beyond) 5G networks. In particular, we provide an in-depth simulation study of the performance/capacity gains that can be achieved by exploiting the end-to-end latency budget and/or video frame type as cross-layer information in the scheduling decisions, and show how the benefits depend on the actual social VR scenario. This study further reveals the importance of using application-level metrics such as PSNR or SSIM rather than traditional network-level metrics like the packet drop rate in the performance assessment.",
keywords = "5G, Application-level performance, Cross-layer scheduling, Social VR, 2023 OA procedure",
author = "Z. Du and {van den Berg}, J.L. and T. Dimitrovski and R. Litjens",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; IEEE Wireless Communications and Networking Conference, WCNC 2023, WCNC 2023 ; Conference date: 26-03-2023 Through 29-03-2023",
year = "2023",
month = may,
day = "12",
doi = "10.1109/WCNC55385.2023.10118957",
language = "English",
isbn = "978-1-6654-9123-5",
series = "IEEE Wireless Communications and Networking Conference (WCNC)",
publisher = "IEEE",
booktitle = "2023 IEEE Wireless Communications and Networking Conference, WCNC 2023 - Proceedings",
address = "United States",
}