SINR Model with Best Server Association for High Availability Studies of Wireless Networks

TL;DR

This paper introduces a stochastic SINR model incorporating shadow fading and best server association to accurately analyze high availability in wireless networks.

Contribution

It presents a novel stochastic SINR model that accounts for shadow fading effects and user association, improving high availability analysis.

Findings

Model accurately describes the entire SINR distribution, including the critical left tail.

Incorporates shadow fading effects into SINR distribution modeling.

Enhances understanding of high availability in wireless networks.

Abstract

The signal-to-interference-and-noise ratio (SINR) is of key importance for the analysis and design of wireless networks. For addressing new requirements imposed on wireless communication, in particular high availability, a highly accurate modeling of the SINR is needed. We propose a stochastic model of the SINR distribution where shadow fading is characterized by random variables. Therein, the impact of shadow fading on the user association is incorporated by modification of the distributions involved. The SINR model is capable to describe all parts of the SINR distribution in detail, especially the left tail which is of interest for studies of high availability.