SpaRec: Sparse Systematic RLNC Recoding in Multi-Hop Networks
Sparse Random Linear Network Coding (RLNC) reduces the computational complexity of the RLNC decoding through a low density of the non-zero coding coefficients, which can be achieved through sending uncoded (systematic) packets. However, conventional recoding of sparse RLNC coded packets at an interm...
Main Authors: | Elif Tasdemir, Mate Tomoskozi, Juan A. Cabrera, Frank Gabriel, Dongho You, Frank H. P. Fitzek, Martin Reisslein |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9656892/ |
Similar Items
-
FSW: Fulcrum Sliding Window Coding for Low-Latency Communication
by: Elif Tasdemir, et al.
Published: (2022-01-01) -
BAR: Blockwise Adaptive Recoding for Batched Network Coding
by: Hoover H. F. Yin, et al.
Published: (2023-07-01) -
Progressive Multicore RLNC Decoding With Online DAG Scheduling
by: Simon Wunderlich, et al.
Published: (2019-01-01) -
RS-RLNC: A Reinforcement Learning-Based Selective Random Linear Network Coding Framework for Tactile Internet
by: Shahzad, et al.
Published: (2023-01-01) -
Caterpillar RLNC With Feedback (CRLNC-FB): Reducing Delay in Selective Repeat ARQ Through Coding
by: Frank Gabriel, et al.
Published: (2018-01-01)