Prasad, K. ; Rajan, B. S. (2010) Single-generation network coding for networks with delay In: 2010 IEEE International Conference on Communications, 23-27 May 2010, Cape Town, South Africa.
Full text not available from this repository.
Official URL: http://ieeexplore.ieee.org/document/5502118/
Related URL: http://dx.doi.org/10.1109/ICC.2010.5502118
Abstract
A single-source network is said to be memory-free if all of the internal nodes (those except the source and the sinks) do not employ memory but merely send linear combinations of the incoming symbols (received at their incoming edges) on their outgoing edges. Memory-free networks with delay using network coding are forced to do inter-generation network coding, as a result of which the problem of some or all sinks requiring a large amount of memory for decoding is faced. In this work, we address this problem by utilizing memory elements at the internal nodes of the network also, which results in the reduction of the number of memory elements used at the sinks. We give an algorithm which employs memory at all the nodes of the network to achieve single- generation network coding. For fixed latency, our algorithm reduces the total number of memory elements used in the network to achieve single- generation network coding. We also discuss the advantages of employing single-generation network coding together with convolutional network-error correction codes (CNECCs) for networks with unit- delay and illustrate the performance gain of CNECCs by using memory at the intermediate nodes using simulations on an example network under a probabilistic network error model.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Source: | Copyright of this article belongs to Institute of Electrical and Electronics Engineers. |
ID Code: | 110743 |
Deposited On: | 08 Dec 2017 10:23 |
Last Modified: | 08 Dec 2017 10:23 |
Repository Staff Only: item control page