15 citations · 29 across the 12 of their papers we have counts for
6 papers · 1 filter
Small-Sample Inferred Adaptive Recoding for Batched Network Coding
Jie Wang, Zhiyuan Jia, Hoover H. F. Yin +1
Batched network coding is a low-complexity network coding solution to feedbackless multi-hop wireless packet network transmission with packet loss. The data to be transmitted is en…
BAR: Blockwise Adaptive Recoding for Batched Network Coding
Hoover H. F. Yin, Shenghao Yang, Qiaoqiao Zhou +2
Multi-hop networks become popular network topologies in various emerging Internet of things applications. Batched network coding (BNC) is a solution to reliable communications in s…
On Multi-Channel Huffman Codes for Asymmetric-Alphabet Channels
Hoover H. F. Yin, Xishi Wang, Ka Hei Ng +3
Zero-error single-channel source coding has been studied extensively over the past decades. Its natural multi-channel generalization is however not well investigated. While the spe…
A Unified Adaptive Recoding Framework for Batched Network Coding
Hoover H. F. Yin, Bin Tang, Ka Hei Ng +3
Batched network coding is a variation of random linear network coding which has low computational and storage costs. In order to adapt to random fluctuations in the number of erasu…
Intrablock Interleaving for Batched Network Coding with Blockwise Adaptive Recoding
Hoover H. F. Yin, Ka Hei Ng, Allen Z. Zhong +3
Batched network coding (BNC) is a low-complexity solution to network transmission in multi-hop packet networks with packet loss. BNC encodes the source data into batches of packets…
Utility Maximization for Multihop Wireless Networks Employing BATS Codes
Yanyan Dong, Sheng Jin, Yanzuo Chen +2
BATS (BATched Sparse) codes are a class of efficient random linear network coding variation that has been studied for multihop wireless networks mostly in scenarios of a single com…