Performance evaluation of peer-assisted MPEG-DASH streaming in multi-user mobile scenarios
Performance evaluation of peer-assisted MPEG-DASH streaming with multiple concurrent users in mobile scenarios.
☕
Román Belda
Associate Professor at Universitat Politècnica de València
Professional Summary
Román Belda received his degree in Computer Science in 2004 and an M.S. in Telematics in 2013 from the Universitat Politècnica de València (UPV), Spain. He obtained his Ph.D. in Telecommunications from UPV in 2021. He is currently an Associate Professor at the Universitat Politècnica de València and a member of the Institute of Telecommunications and Multimedia Applications (iTEAM). His research interests include adaptive video streaming (MPEG-DASH), low-latency and peer-assisted video delivery, Quality of Experience (QoE), mobile applications and multimedia transmission protocols.
Education
BS Computer Science
Universitat Politècnica de València
MS in Communication Technologies, Systems and Networks
Universitat Politècnica de València
PhD in Telecommunications
Universitat Politècnica de València
Interests
Multimedia Communications
Adaptive Video Streaming (MPEG-DASH)
Quality of Experience (QoE)
Transport Protocols
Software Development
Computer Networks
📚 My Research
My research focuses on how video reaches people over the network, and on making that experience better. I work on adaptive video streaming with MPEG-DASH: bitrate adaptation algorithms such as Look Ahead, objective Quality of Experience (QoE) models, low-latency live streaming (LL-DASH, SRT) and peer-assisted delivery with SwarmLayer. Earlier work covered application-layer FEC (LDPC) for broadcast and mobile content delivery, and multimedia systems for emergency and mobile networks.
I’m a passionate software developer with broad experience in multimedia communications. Every day, I’m amazed by the technology that hides the astonishingly complicated inner bits of the digital world we have created, and I want to be a part of building it.
Featured Publications
SwarmLayer: A Hybrid P2P Assisted Solution for MPEG-DASH Streaming
SwarmLayer is a hybrid P2P layer for MPEG-DASH that uses WebRTC and Service Workers to offload up to 96% of server traffic with no changes to existing players.
A DASH server-side delay-based representation switching solution to improve the quality of experience for low-latency live video streaming
SSRS for LL-DASH live streaming uses server-measured client request delays to adapt video quality, achieving good quality-latency trade-offs without player modifications.
Recent Publications
(2026).
From Radio Telemetry to Perceptual Quality: A QoE-as-a-Service Framework for Multi-User OTT Streaming in 5G Vehicular Environments.
SSRN preprint.
(2026).
Performance evaluation of peer-assisted MPEG-DASH streaming in multi-user mobile scenarios.
Computer Networks, 290, 112785.
(2025).
SwarmLayer: A Hybrid P2P Assisted Solution for MPEG-DASH Streaming.
MSWiM 2025, 507–514.
(2023).
A DASH server-side delay-based representation switching solution to improve the quality of experience for low-latency live video streaming.
Computer Networks, 235, 109961.
(2022).
Performance Evaluation and Testbed for Delivering SRT Live Content using DASH Low Latency Streaming Systems.
PE-WASUN 2022, 115–121.