Enhanced Machine Learning Techniques for Early HARQ Feedback Prediction in 5G

We investigate Early Hybrid Automatic Repeat reQuest (E-HARQ) feedback schemes enhanced by machine learning techniques as a path towards ultra-reliable and low-latency communication (URLLC). To this end, we propose machine learning methods to predict the outcome of the decoding process ahead of the end of the transmission. We discuss different input features and classification algorithms ranging from traditional methods to newly developed supervised autoencoders. These methods are evaluated based on their prospects of complying with the URLLC requirements of effective block error rates below $10^{-5}$ at small latency overheads. We provide realistic performance estimates in a system model incorporating scheduling effects to demonstrate the feasibility of E-HARQ across different signal-to-noise ratios, subcode lengths, channel conditions and system loads, and show the benefit over regular HARQ and existing E-HARQ schemes without machine learning.Comment: 14 pages, 15 figures; accepted versio

Layer-Aware Forward Error Correction for Mobile Broadcast of Layered Media

The bitstream structure of layered media formats such as scalable video coding (SVC) or multiview video coding (MVC) opens up new opportunities for their distribution in Mobile TV services. Features like graceful degradation or the support of the 3-D experience in a backwards-compatible way are enabled. The reason is that parts of the media stream are more important than others with each part itself providing a useful media representation. Typically, the decoding of some parts of the bitstream is only possible, if the corresponding more important parts are correctly received. Hence, unequal error protection (UEP) can be applied protecting important parts of the bitstream more strongly than others. Mobile broadcast systems typically apply forward error correction (FEC) on upper layers to cope with transmission errors, which the physical layer FEC cannot correct. Today's FEC solutions are optimized to transmit single layer video. The exploitation of the dependencies in layered media codecs for UEP using FEC is the subject of this paper. The presented scheme, which is called layer-aware FEC (LA-FEC), incorporates the dependencies of the layered video codec into the FEC code construction. A combinatorial analysis is derived to show the potential theoretical gain in terms of FEC decoding probability and video quality. Furthermore, the implementation of LA-FEC as an extension of the Raptor FEC and the related signaling are described. The performance of layer-aware Raptor code with SVC is shown by experimental results in a DVB-H environment showing significant improvements achieved by LA-FEC. © 2011 IEEE.Hellge, C.; Gómez Barquero, D.; Schierl, T.; Wiegand, T. (2011). Layer-Aware Forward Error Correction for Mobile Broadcast of Layered Media. IEEE Transactions on Multimedia. 13(3):551-562. doi:10.1109/TMM.2011.2129499S55156213

Low-latency Cloud-based Volumetric Video Streaming Using Head Motion Prediction

Volumetric video is an emerging key technology for immersive representation of 3D spaces and objects. Rendering volumetric video requires lots of computational power which is challenging especially for mobile devices. To mitigate this, we developed a streaming system that renders a 2D view from the volumetric video at a cloud server and streams a 2D video stream to the client. However, such network-based processing increases the motion-to-photon (M2P) latency due to the additional network and processing delays. In order to compensate the added latency, prediction of the future user pose is necessary. We developed a head motion prediction model and investigated its potential to reduce the M2P latency for different look-ahead times. Our results show that the presented model reduces the rendering errors caused by the M2P latency compared to a baseline system in which no prediction is performed.Comment: 7 pages, 4 figure

Efficient HDTV and 3DTV services over DVB-T2 using Multiple PLPs with Layered Media

[EN] The high bit rates of high-definition or 3D services require a huge share of the valuable terrestrial spectrum, especially when targeting wide coverage areas. This article describes how to provide future services with the state-of-the-art digital terrestrial TV technology DVB-T2 in a flexible and cost-efficient way. The combination of layered media such as the scalable and 3D extension of the H.264/AVC or emerging H.265/HEVC format with the physical layer pipes feature of DVB-T2 enables flexible broadcast of services with differentiated protection of the quality layers. This opens up new ways of service provisioning such as graceful degradation for mobile or fixed reception. This article shows how existing DVB-T2 and MPEG-2 transport stream mechanisms need to be configured for offering such services over DVB-T2. A detailed description of the setup of such services and the involved components is given.Hellge, C.; Wiegand, T.; Guinea Torre, E.; Gomez-Barquero, D.; Schierl, T. (2013). Efficient HDTV and 3DTV services over DVB-T2 using Multiple PLPs with Layered Media. IEEE Communications Magazine. 51(10):76-82. doi:10.1109/MCOM.2013.6619569S7682511

Distributed rate-distortion optimization for rateless coded scalable video

ABSTRACT Recent advances in forward error correction and scalable video coding enable new approaches for robust, distributed streaming in Mobile Ad Hoc Networks (MANETs). This work presents an approach for distribution of real time video by different uncoordinated peerto-peer relay or source nodes in an overlay network on top of a MANET. The approach proposed here allows for distributed, ratedistortion optimized transmission-rate allocation for competing scalable video streams at relay nodes in the overlay network. Furthermore the approach has the desirable feature of path/source diversity for enhancing reliability in connectivity to serving nodes. Signaling overhead within the overlay network is kept at a minimum, since optimizations are done at relay nodes and clients rather than at servers

Improved caching for HTTP-based video on demand using scalable video coding

HTTP-based delivery for Video on Demand (VoD) has been gaining popularity within recent years. Progressive Download over HTTP, typically used in VoD, takes advantage of the widely deployed network caches to release video servers from sending the same content to a high number of users in the same VoD service. However, due to the inherent heterogeneity of user demands, which may result in requesting the same video content in different resolutions or qualities, the caching efficiency is expected to decrease due to a higher variety in requested media files. The use of Scalable Video Coding allows different representations of the same content to be combined in a single file, whose parts, aka layers, are requested sequentially by a user up to the maximum desired quality. In this paper we show the benefits of using Scalable Video Coding to maintain the same set of possible video content representations, while at the same time maximizing the caching efficiency