A new compressive video sensing framework for mobile broadcast

Enhanced Mobile Digital Video Broadcasting with Distributed Space-Time Coding

This paper investigates the distributed space-time (ST) coding proposals for the future Digital Video Broadcasting--Next Generation Handheld (DVB-NGH) standard. We first theoretically show that the distributed MIMO scheme is the best broadcasting scenario in terms of channel capacity. Consequently we evaluate the performance of several ST coding proposals for DVB-NGH with practical system specifications and channel conditions. Simulation results demonstrate that the 3D code is the best ST coding solution for broadcasting in the distributed MIMO scenario.

降低移动网络上多媒体广播服务的延迟

Reducing Latency for Multimedia Broadcast Services Over Mobile Networks

本文针对LTE多媒体广播服务中的网络错误与延迟问题，通过分析服务参数、播放器缓冲长度与中断的关系，提出同步及限制缓冲长度的方法，以降低延迟并提升服务质量。

支持自适应错误恢复的5G多媒体广播应用功能设计

Design of a 5G Multimedia Broadcast Application Function Supporting Adaptive Error Recovery

本文针对移动多媒体广播中的错误恢复问题，提出利用多接入边缘计算（MEC）平台的计算能力，在5G网络架构下设计自适应错误恢复机制，实验验证其能降低传输错误对延迟和服务中断的影响。

QoE-Driven UAV-Enabled Pseudo-Analog Wireless Video Broadcast: A Joint Optimization of Power and Trajectory

The explosive demands for high quality mobile video services have caused heavy overload to the existing cellular networks. Although the small cell has been proposed to alleviate such a problem, the network operators may not be interested in deploying numerous base stations (BSs) due to expensive infrastructure construction and maintenance. The unmanned aerial vehicles (UAVs) can provide the low-cost and quick deployment, which can support high-quality line-of-sight communications and have become promising mobile BSs. In this paper, we propose a quality-of-experience (QoE)-driven UAV-enabled ps…

DNN-Driven Compressive Offloading for Edge-Assisted Semantic Video Segmentation

Deep learning has shown impressive performance in semantic segmentation, but it is still unaffordable for resource-constrained mobile devices. While offloading computation tasks is promising, the high traffic demands overwhelm the limited bandwidth. Existing compression algorithms are not fit for semantic segmentation, as the lack of obvious and concentrated regions of interest (RoIs) forces the adoption of uniform compression strategies, leading to low compression ratios or accuracy. This paper introduces STAC, a DNN-driven compression scheme tailored for edge-assisted semantic video segmenta…

Metrics for Video Quality Assessment in Mobile Scenarios

With exponential increase in the volumes of video traffic in cellular net-works, there is an increasing need for optimizing the quality of video delivery. 4G networks (Long Term Evolution Advanced or LTE A) are being introduced in many countries worldwide, which allow a downlink speed of upto 1 Gbps and uplink of 100 Mbps over a single base station. This makes a strong push towards video broadcasting over LTE networks, characterizing its performance and developing metrics which can be deployed to provide user feedback of video quality and feed-back them to network operators to fine tune the ne…