Tambur: Efficient loss recovery for videoconferencing via streaming codes

M Rudow, FY Yan, A Kumar… - … USENIX Symposium on …, 2023 - usenix.org
Packet loss degrades the quality of experience (QoE) of videoconferencing. The standard
approach to recovering lost packets for long-distance communication where retransmission …

Transcoding-enabled cloud–edge–terminal collaborative video caching in heterogeneous IoT networks: An online learning approach with time-varying information

H Xiao, Y Zhuang, C Xu, W Wang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
As a key enabling technology in intelligent heterogeneous Internet of Things (IoT), edge
caching provides important support for reducing core network load and improving network …

RL-AFEC: adaptive forward error correction for real-time video communication based on reinforcement learning

K Chen, H Wang, S Fang, X Li, M Ye… - Proceedings of the 13th …, 2022 - dl.acm.org
Real-time video communication is profoundly changing people's lives, especially in today's
pandemic situation. However, packet loss during video transmission degrades reconstructed …

Network coding as enabler for achieving URLLC under TCP and UDP environments: A survey

P Enenche, DH Kim, D You - IEEE Access, 2023 - ieeexplore.ieee.org
In an era of rapidly evolving technology, the pursuit of higher data rates, extremely low
latency, and robust reliability is becoming increasingly crucial. Applications such as …

ABRF: Adaptive BitRate-FEC Joint Control for Real-Time Video Streaming

S Cheng, H Hu, X Zhang - … on Circuits and Systems for Video …, 2023 - ieeexplore.ieee.org
Adaptive Forward Error Correction (AFEC) algorithms are proposed to achieve efficient
Forward Error Correction (FEC) in Real-Time Communication (RTC). However, current …

Broadcast approach meets network coding for data streaming

A Cohen, M Médard, SS Shitz - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
For data streaming applications, existing solutions are not yet able to close the gap between
high data rates and low delay. This work considers the problem of data streaming under …

Learning-augmented streaming codes for variable-size messages under partial burst losses

M Rudow, KV Rashmi - 2023 IEEE International Symposium on …, 2023 - ieeexplore.ieee.org
Recovering bursts of lost packets in real-time is crucial to multimedia live-streaming
applications' quality-of-experience (QoE). Streaming codes optimally handle the unique …

DeepNP: Deep learning-based noise prediction for ultra-reliable low-latency communications

A Cohen, A Solomon… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Closing the gap between high data rates and low delay in real-time streaming applications
is a major challenge in advanced communication systems. While adaptive network coding …

DeepSHARQ: hybrid error coding using deep learning

P Gil Pereira, K Vogelgesang, M Miodek… - Journal of Reliable …, 2023 - Springer
Cyber-physical systems operate under changing environments and on resource-constrained
devices. Communication in these environments must use hybrid error coding, as pure pro-or …

Ivory: Learning network adaptive streaming codes

S Emara, F Wang, I Kaplan, B Li - 2022 IEEE/ACM 30th …, 2022 - ieeexplore.ieee.org
With the growing interest in web services during the current COVID-19 outbreak, the
demand for high-quality low-latency interactive applications has never been more apparent …