Optimized Live 4K Video Multicast

Fuente: arXiv
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Auteurs principaux: He, Zhaoyuan, Ge, Changhan, Li, Wangyang, Qiu, Lili, Li, Peijie, Baig, Ghufran
Format: Preprint
Publié: 2023
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author He, Zhaoyuan
Ge, Changhan
Li, Wangyang
Qiu, Lili
Li, Peijie
Baig, Ghufran
author_facet He, Zhaoyuan
Ge, Changhan
Li, Wangyang
Qiu, Lili
Li, Peijie
Baig, Ghufran
contents 4K videos are becoming increasingly popular. However, despite advances in wireless technology, streaming 4K videos over mmWave to multiple users is facing significant challenges arising from directional communication, unpredictable channel fluctuation and high bandwidth requirements. This paper develops a novel 4K layered video multicast system. We (i) develop a video quality model for layered video coding, (ii) optimize resource allocation, scheduling, and beamforming based on the channel conditions of different users, and (iii) put forward a streaming strategy that uses fountain code to avoid redundancy across multicast groups and a Leaky-Bucket-based congestion control. We realize an end-to-end system on commodity-off-the-shelf (COTS) WiGig devices. We demonstrate the effectiveness of our system with extensive testbed experiments and emulation.
format Preprint
id arxiv_https___arxiv_org_abs_2305_02155
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Optimized Live 4K Video Multicast
He, Zhaoyuan
Ge, Changhan
Li, Wangyang
Qiu, Lili
Li, Peijie
Baig, Ghufran
Networking and Internet Architecture
4K videos are becoming increasingly popular. However, despite advances in wireless technology, streaming 4K videos over mmWave to multiple users is facing significant challenges arising from directional communication, unpredictable channel fluctuation and high bandwidth requirements. This paper develops a novel 4K layered video multicast system. We (i) develop a video quality model for layered video coding, (ii) optimize resource allocation, scheduling, and beamforming based on the channel conditions of different users, and (iii) put forward a streaming strategy that uses fountain code to avoid redundancy across multicast groups and a Leaky-Bucket-based congestion control. We realize an end-to-end system on commodity-off-the-shelf (COTS) WiGig devices. We demonstrate the effectiveness of our system with extensive testbed experiments and emulation.
title Optimized Live 4K Video Multicast
topic Networking and Internet Architecture
url https://arxiv.org/abs/2305.02155