Abstract

In this paper we investigate the design of degree distributions for finite length LT codes over the binary erasure channel. A decreasing ripple size in literature provides the state of the art degree distributions for finite length LT codes. However, study on releasing multiple encoding symbols in each decoding step shows that the ripple size increases first and then decreases during the decoding process. Therefore, we propose the corresponding ripple size evolution model considering multiple releases. In the design procedure with any ripple size evolution models, the computational cost increases greatly as the length of source symbols increases. Thus, we design a suboptimal degree distribution of low computational complexity. The proposed degree distributions are compared to others through simulations and a increase in performance with respect to block error rate is provided.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.