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Convolutional Coded Poisson Receivers by Lee, Cheng-En; Liao, Kuo-Yu; Yu, Hsiao-Wen; Zhang, Ruhui; Chang, Cheng-Shang; Lee, Duan-Shin is a scholarly article available to read on EtoBox.

What is Convolutional Coded Poisson Receivers about?

In this paper, we present a framework for convolutional coded Poisson receivers (CCPRs) that incorporates spatially coupled methods into the architecture of coded Poisson receivers (CPRs). We use density evolution equations to track the packet decoding process with the successive interference cancellation (SIC) technique. We derive outer bounds for the stability region of CPRs when the underlying channel can be modeled by a $\phi$-ALOHA receiver. The stability region is the set of loads that every packet can be successfully received with a probability of 1. Our outer bounds extend those of the spatially-coupled Irregular Repetition Slotted ALOHA (IRSA) protocol and apply to channel models with multiple traffic classes. For CCPRs with a single class of users, the stability region is reduced to an interval. Therefore, it can be characterized by a percolation threshold. We study the potential threshold by the potential function of the base CPR used for constructing a CCPR. In addition, we prove that the CCPR is stable under a technical condition for the window size. For the multiclass scenario, we recursively evaluate the density evolution equations to determine the boundaries of the

Author

Lee, Cheng-En; Liao, Kuo-Yu; Yu, Hsiao-Wen; Zhang, Ruhui; Chang, Cheng-Shang; Lee, Duan-Shin

Published

2024

Language

EN