On the Statistical Relation of Ultra-Reliable Wireless and Location Estimation

TL;DR

This paper explores the fundamental statistical relationship between localization errors and wireless link reliability in ultra-reliable low-latency communication, emphasizing the importance of accurate location information for reliable rate selection.

Contribution

It introduces the concept of meta-probability and the $\epsilon$-outage coherence radius, providing new insights into location-based rate selection and reliability guarantees.

Findings

Reliability is highly sensitive to localization errors.

The $\epsilon$-outage coherence radius offers valuable guidance for rate selection.

Properly accounting for localization errors improves reliability and throughput.

Abstract

Location information is often used as a proxy to guarantee the performance of a wireless communication link. However, localization errors can result in a significant mismatch with the guarantees, particularly detrimental to users operating the ultra-reliable low-latency communication (URLLC) regime. This paper unveils the fundamental statistical relations between location estimation uncertainty and wireless link reliability, specifically in the context of rate selection for ultra-reliable communication. We start with a simple one-dimensional narrowband Rayleigh fading scenario and build towards a two-dimensional scenario in a rich scattering environment. The wireless link reliability is characterized by the meta-probability, the probability with respect to localization error of exceeding the outage capacity, and by removing other sources of errors in the system, we show that reliability is sensitive to localization errors. The $\epsilon$-outage coherence radius is defined and shown to provide valuable insight into the problem of location-based rate selection. However, it is generally challenging to guarantee reliability without accurate knowledge of the propagation environment. Finally, several rate-selection schemes are proposed, showcasing the problem's dynamics and revealing that properly accounting for the localization error is critical to ensure good performance in terms of reliability and achievable throughput.