Hierarchical random linear network coding for multicast scalable video streaming

Chau, Phuc; Kim, Seongyeon; Lee, Yong-Woo; Shin, Jitae

doi:10.1109/apsipa.2014.7041711

Cited by 11 publications

(2 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Later, Nguyen et al [6] coined the term hierarchical network coding (HNC) to include different priorities in network coding. Chau et al [16] extend HNC to use hierarchical coding layers. In their protocol, the source divides a video stream into a base layer and two quality enhancement layers.…”

Section: A Network Codingmentioning

confidence: 99%

Best of Both Worlds: Prioritizing Network Coding without Increased Space Complexity

Naumann

Dietzel

Scheuermann

2016

2016 IEEE 41st Conference on Local Computer Networks (LCN)

View full text Add to dashboard Cite

Abstract-Random linear network coding simplifies routing decisions, improves throughput, and increases tolerance against packet loss. A substantial limitation, however, is delay: decoding requires as many independent linear combinations as data blocks. Hierarchical network coding purportedly solves this delay problem. It introduces layers to decode prioritized data blocks early, which may benefit video streaming applications or applications for sensor information collection. While hierarchical network coding reduces decoding delays, it introduces significant space complexity and additional decoding time. We propose a decoding algorithm that manages all prioritization layers in a joint decoder matrix. Analytical evaluation and performance measurements show that we maintain prioritization benefits without increased space complexity and improve decoding performance. With memory requirements independent of the number of layers, our algorithm facilitates more fine-grained prioritization layers to further the benefits of hierarchical network coding.

show abstract

Section: A Network Codingmentioning

confidence: 99%

Best of Both Worlds: Prioritizing Network Coding without Increased Space Complexity

Naumann

Dietzel

Scheuermann

2016

2016 IEEE 41st Conference on Local Computer Networks (LCN)

View full text Add to dashboard Cite

show abstract

“…[7] . Yoon은 MIMO 릴레이 네트워크에서 HNC를 활용한 SVC비디오 전송 기법을 제안하였고 [8] , Phuc 은 UDP환경에서 추가적인 패킷 전송 시, 해당 패킷의 형태에 따라 디코딩 확률이 달라지며 이에 대해 가장 효율적인 패킷 인코딩 방법을 제안하였다 [9] . [14] .…”

unclassified

A Joint Sub-Packet Level Network Coding and Channel Coding

Kim

Shin

2015

The Journal of Korean Institute of Communications and Informati

Self Cite

View full text Add to dashboard Cite

Recent studies on network coding scheme for increasing transmission efficiency of the network has been actively conducted. In this paper, we apply RLNC in sub-packet unit and propose a joint scheme of sub-packet level network coding and LDPC code. The proposed method can have similar ability of network coding and obtain further error correction capability. The simulation results show that the proposed one enhances error correction capability compared to the case using only LDPC when extra packets are received.

show abstract