Binary sparse convolutional erasure correction coding

Due to the requirement of low latency and high reliability in 6G wireless communication, we propose a coding scheme called binary sparse convolutional erasure correction coding (BSCECC), which can be utilized to transmit information in a binary erasure channel. The coding scheme is a combination of convolutional coding and low-density parity-check (LDPC) coding. Data packages are uniformly grouped and convolutionally coded by a matrix with blocks the generating matrix of an LDPC code, binary random matrices and zero matrices. Under the coding scheme, the sink node can decode the information while it is receiving the data packages. Hence, the latency of the whole system can be largely shortened. We analyze the average package delay and average maximum package delay of the scheme with the result verified by simulation. Simulations also show that our scheme performs 30. 8% better in transmission rate than the systematic LDPC under the same reliability, and better in reliability than the RaptorlO code under the same code rate. Thus, our coding scheme can be applied to the scenarios with the requirements of low latency and high reliability. © 2023 Science Press. All rights reserved.