Novel methods for the performance analysis of adaptive hybrid selective repeat ARQ

Abstract

In this paper we present two novel approximation methods for the performance analysis of selective repeat (SR) ARQ protocol with any size of buffer. The methods are called sequential method (SM) and stable function method (SFM). Both SM and SFM methods provide highly accurate results as compared to other conventional methods of analysis. However, between SM and SFM methods, it is observed that SM is computationally more complex. Hence, SFM method is proposed for our analysis. Based on SFM, we present an ad hoc algorithm for an adaptive SR ARQ scheme to optimize the performance of SR ARQ. The performance of hybrid SR ARQ (an SR ARQ protocol combined with FEC) is also analyzed. It is concluded from a comparison of different methods of analyzing the SR ARQ protocol that the stable function method (SFM) provides a simple and novel approach for network analysis.