Performance analysis of EWF codes with intermediate feedback
Lei Yuan, Huaan Li, Yi Wan · 2016
In this paper, we investigate feedback in EWF codes. The considered type of feedback is an acknowledgment, which is a single bit per source block to inform the most important bits have been decoded completely. Moreover, we propose a practical prediction model to calculate the average overheads of successful decoding for different importance classes of the source block. Asymptotic analysis and simulation results demonstrate that, compared with standard EWF codes, the proposed EWF codes with feedback can obtain a lower average overhead of successful decoding in lower prioritized data, and the proposed prediction model is effective.