This paper provides seamless service discovery (using DVB-I) with the delivery options of 5G (5G broadcast, 5G Media Streaming or hybrid).
Prior to COVID, DVB ran an internal study item on the relation of 5G and DVB. The main conclusion from this study was, that DVB should view 5G as an opportunity rather than threat and identify commercially and technically relevant synergies and cooperation modes. Based on these findings, in March 2020 DVB initiated the creation of commercial requirements for mobile network operators (MNOs) and broadcast network operators (BNOs) for delivery of DVB-I over 5G. The work culminated in the publication of DVB Bluebook C100 on Commercial Requirements for DVB-I over 5G in July 2021. The major idea of the commercial requirements is shown in Figure 1. A DVB-I service layer including DVB-I service list offering, DVB-I content packaging using DVB-DASH and DVB-AVC, and possibly converted into a unidirectional IP multicast stream using DVB-MABR is delivered over 5G systems using the well-defined network reference points for 5G Broadcast and 5G Media Streaming (5GMS). Equivalently, on the receiver, the APIs are used to provide service offerings for a DVB-I client.
This paper discusses...
Exclusive Content
This article is available with a Technical Paper Pass
Selective multi-pass encoding for cost-effective video streaming
Tech Papers 2026: This paper presents a content-adaptive strategy, CASE, that predicts whether additional encoding passes would provide meaningful gains using a lightweight mechanism that derives spatial and temporal features from each video segment.
Scalable SSIM estimation from PSNR for per-title and context adaptive encoding workflows
Tech Papers 2026: This paper proposes ApproxSSIMate, a low-complexity method for estimating SSIM from PSNR combined with reference-sequence statistics.
Deep learning super resolution for dense dynamic point Cloud compression
Tech Papers 2026: This paper proposes Video-based Super Sampling Point Cloud Compression (VSS-PCC), a method that uses neural super-resolution to reduce the size of point cloud data before compression.
Client device discovery: An open standard for bridging the first-mile gap in cloud media workflows
Tech Papers 2026: This paper presents the architecture, protocol design, and security model of TR-12, demonstrates its contract-first approach using Smithy models, and discusses early implementation experience with the open source SDK.
Scene-adaptive camera: Dynamic imaging parameter control for localised shooting areas
Tech Papers 2026: This paper examines a scene-adaptive camera that dynamically adjusts imaging parameters across different areas of a frame to improve image quality.



