Aug 21, 2017 · In this paper, we propose sparse network codes for scenarios where low coding vector weights and low decoding cost are crucial. We consider ...

Apr 19, 2016 · A low-complexity overhead-optimized decoder is proposed that exploits "overlaps" between generations. The sparseness of the codes is exploited ...

This paper proposes sparse network codes for generation-based network codes where source packets are grouped into overlapping subsets called generations, ...

In this paper, we propose sparse network codes for scenarios where low coding vector weights and low decoding cost are crucial. We consider generation-based ...

Abstract. Random linear network coding (RLNC) in theory achieves the max-flow capacity of multicast networks, at the cost of high decoding complexity.

Apr 20, 2016 · In this paper, we propose sparse network codes for scenarios where low coding vector weights and low decoding cost are crucial. We consider ...

Random linear network coding is a particularly decentralized approach to the multicast problem. Use of random network codes introduces a non-zero probability ...

This project provides a C implementation (and a Python wrapper) for encoding/recoding/decoding of network coding. Random linear network coding (RLNC) [1] and ...

This letter proposes a sparse network code based on band matrices for lossy networks. The proposed code is precoded, has no wrap-around, and allows only a ...

This letter proposes a sparse network code based on band matrices for lossy networks that simplifies decoding, enables more flexible recoding, ...