AI Article Synopsis
- This paper focuses on designing overlapped chunked codes (OCC) for a network with multiple sources and relays, utilizing a method called compute-and-forward (CF) with nested lattice codes (NLC) for efficient data transmission.
- It introduces a decodability condition to optimize the OCC/CF design and uses a unique overlapping structure for the codes that accounts for the number of innovative codeword combinations.
- The results indicate that the OCC/CF design incurs minimal overhead when the probability distribution for each source's participation factor is dense, enhancing overall transmission performance.
Article Abstract
This paper investigates the design of overlapped chunked codes (OCC) for multi-source multi-relay networks where a physical-layer network coding approach, compute-and-forward (CF) based on nested lattice codes (NLC), is applied for the simultaneous transmissions from the sources to the relays. This code is called OCC/CF. In this paper, OCC is applied before NLC before transmitting for each source. Random linear network coding is applied within each chunk. A decodability condition to design OCC/CF is provided. In addition, an OCC with a contiguously overlapping, but non-rounded-end fashion is employed for the design, which is done by using the probability distributions of the number of innovative codeword combinations and the probability distribution of the participation factor of each source to the codeword combinations received for a chunk transmission. An estimation is done to select an allocation, i.e., the number of innovative blocks per chunk and the number of blocks taken from the previous chunk for all sources, that is expected to provide the desired performance. From the numerical results, the design overhead of OCC/CF is low when the probability distribution of the participation factor of each source is dense at the chunk size for each source.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6209892 | PMC |
| http://dx.doi.org/10.3390/s18103225 | DOI Listing |
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