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.
Research Lines
From the network layer to the viewer’s perception.
Adaptive Video Streaming
MPEG-DASH bitrate adaptation algorithms such as Look Ahead, variable-bitrate encoding and server-side representation switching.
MPEG-DASH
ABR algorithms
VBR
+1 more
Low-Latency Live Streaming
Live delivery with LL-DASH and SRT, chunked transfer and delay-aware switching to keep latency low without stalls.
LL-DASH
SRT
Live video
Quality of Experience
Objective QoE models validated with subjective tests, ITU-T P.1203, 3D video and QoE-as-a-Service for 5G vehicular scenarios.
QoE
ITU-T P.1203
VMAF
+1 more
Peer-Assisted Delivery
Hybrid P2P distribution for DASH with WebRTC and Service Workers (SwarmLayer), transparent to existing players.
P2P
WebRTC
CDN offloading
Reliable Content Delivery
File delivery over unidirectional and multicast channels with FLUTE and AL-FEC (LDPC), background push and hybrid broadcast/broadband networks.
FLUTE
AL-FEC
DVB
+1 more
Wireless and Green Networking
QoS-aware routing and video in mobile ad hoc networks, energy-efficient protocols and Energy Efficient Ethernet for streaming servers.
MANET
QoS routing
Energy efficiency
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.
Look ahead to improve QoE in DASH streaming
The Look Ahead ABR algorithm for DASH streaming leverages variable bitrate information from constant-quality encodings to minimize stalls while maintaining high QoE, outperforming …
New objective QoE models for evaluating ABR algorithms in DASH
Three new objective QoE models for DASH based on PSNR and VMAF, validated subjectively and via the Look Ahead ABR algorithm, outperforming existing models.
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 Contribution to Video Streaming Quality and Energy Efficiency in Optical and Ethernet Networks.
Universitat Politècnica de València.
(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).
DASH Streaming traffic influence over energy efficient ethernet to improve energy savings.
Ad Hoc Networks, 136, 102951.
Contact
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Multimedia Communications Group (COMM)
Institute of Telecommunications and Multimedia Applications (iTEAM)
Building 8G, Access D, Floor 4 – Universitat Politècnica de València
Camino de Vera, s/n
46022 Valencia, Spain