BATS code encoding method based on regular variable node degree distribution

Abstract

The invention discloses a BATS code encoding method based on regular variable node degree distribution. The BATS code encoding method comprises the following steps: 1) a source node randomly selects adegree value d according to a check node degree distribution function omega; 2) the source node selects d input data packets with minimum variable node degree values to perform fountain coding, generates coded blocks with the same size, sets a block identifier for coded data in each coded block, and broadcasts the coded blocks to the relay node; 3) after receiving the coding block, the relay nodeperforms random linear network coding on the coding group in the block, and broadcasts the recoded coding block to the destination node; and 4) the destination node decodes the coded data packet fromthe relay node and recovers the input data. According to the method, all the input groups have the same variable node degree value by regularizing the variable node degree value. It is guaranteed that each input group can participate in the encoding process. The error leveling performance of a traditional BATS code is improved, and the decoding expenditure is reduced.

Description

technical field [0001] The invention belongs to the field of wireless communication, in particular to a BATS code encoding method based on regular variable node degree distribution. Background technique [0002] With the rapid development of communication technology and Internet technology, the amount of information people need is increasing rapidly, and there are more and more large-scale data transmission services in the network. How to achieve efficient and reliable transmission of large-scale data through limited network bandwidth has become an important issue. Become the focus of research in the field of communication. [0003] When the information data is transmitted in the channel, it will be attenuated due to factors such as noise interference, which will lead to errors in the transmitted data and reduce the communication quality. Using channel coding technology with error correction capability is one of the effective ways to improve the reliability of communication...

AI Technical Summary

Problems solved by technology

Traditional BATS codes have an error floor phenomenon, that is, when the coding redundancy reaches a certain value, most of the input packets can be successfully decoded; but with the further increase of the coding redundancy, the performance improvement of the bit error rate does not obvious

This is because in the encoding process of the BATS code, the input packets are randomly and uniformly selected for encoding, so that some input packets seldom or even do not participate in the encoding process, that is, the variable node degree value of some input packets is very small or even 0 , resulting in poor decoding performance

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