#error-correction #fec #satellite #networking #codec #5g

raptor-code

A Rust library for implementing Forward Error Correction (FEC) using Raptor codes

4 stable releases

1.0.6 Nov 26, 2023
1.0.5 Feb 8, 2023
1.0.4 Jan 25, 2023

#547 in Network programming

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373 downloads per month
Used in flute

MIT license

91KB
1K SLoC

raptor-code

Rust codecov Crates.io

Raptor Code

A Rust library for implementing Forward Error Correction (FEC) using Raptor codes.

Raptor codes are a class of FEC codes that are designed to be highly efficient in the presence of packet erasures. This library provides functionality for encoding source blocks into encoding symbols and decoding source blocks from a set of encoding symbols.

This library implements on the fly Gaussian Elimination to spread decoding complexity during packets reception.

Example : Source Block Encoder/Decoder

Encode and decode a source block using raptor_code::encode_source_block and raptor_code::decode_source_block


let source_block_data: Vec<u8> = vec![1,2,3,4,5,6,7,8,9,10,11,12];
let max_source_symbols = 4;
let nb_repair = 3;
let source_block_length = source_block_data.len();

// Step 1 - Generate the encoding symbols (source symbols + repair symbols)
let (encoding_symbols, nb_source_symbols) =
        raptor_code::encode_source_block(&source_block_data, max_source_symbols, nb_repair);

// Step 2 - Re-construct the source data from the encoding symbols
let mut received_symbols: Vec<Option<Vec<u8>>> = encoding_symbols.into_iter()
                                                                 .map(|symbols| Some(symbols))
                                                                 .collect();
// simulate encoding symbol lost
received_symbols[0] = None;

let reconstructed_data = raptor_code::decode_source_block(&received_symbols,
                                                      nb_source_symbols as usize,
                                                      source_block_length)
                                                      .unwrap();

// Source data and decoded data should be identical
assert!(reconstructed_data == source_block_data)

Example : On the fly encoder

let source_data: Vec<u8> = vec![1,2,3,4,5,6,7,8,9,10,11,12];
let max_source_symbols = 4;
let nb_repair = 3;

let mut encoder = raptor_code::SourceBlockEncoder::new(&source_data, max_source_symbols);
let n = encoder.nb_source_symbols() + nb_repair;

for esi in 0..n as u32 {
    let encoding_symbol = encoder.fountain(esi);
    //TODO transfer symbol over Network
    // network_push_pkt(encoding_symbol);
}

Example : On the fly decoder

let encoding_symbol_length = 1024;
let nb_source_symbols = 4; // Number of source symbols in the source block
let source_block_length = encoding_symbol_length  * nb_source_symbols; // Total size size of the block;
let mut n = 0u32;
let mut decoder = raptor_code::SourceBlockDecoder::new(nb_source_symbols);

while decoder.fully_specified() == false {
    //TODO replace the following line with pkt received from network
    let (encoding_symbol, esi) = (vec![0; encoding_symbol_length],n);
    decoder.push_encoding_symbol(&encoding_symbol, esi);
    n += 1;
}

let source_block = decoder.decode(source_block_length as usize);

Credit

RFC 5053 https://www.rfc-editor.org/rfc/rfc5053.html

On the fly Gaussian Elimination for LT codes, Valerio Bioglio, Marco Grangetto, 2009

Reuse ideas and concepts of gofountain

License: MIT

Dependencies

~105KB