Finite Blocklength Communications in Smart Grids for Dynamic Spectrum Access and Locally Licensed Scenarios

TL;DR

This paper analyzes short blocklength communication performance in smart grids, using stochastic geometry to derive success probabilities for dynamic spectrum access and local licensing scenarios, considering retransmissions and reliability-delay trade-offs.

Contribution

It introduces a stochastic geometry-based framework for analyzing finite blocklength communication in smart grids, deriving closed-form success probabilities for different licensing scenarios.

Findings

Success probability depends on blocklength, bits, and interferer density.

Reliability and delay are inversely related in both scenarios.

Analytical expressions enable performance evaluation of smart grid communications.

Abstract

This work focuses on the performance analysis of short blocklength communication with application in smart grids. We use stochastic geometry to compute in closed form the success probability of a typical message transmission as a function of its size (i.e. blocklength), the number of information bits and the density of interferers. Two different scenarios are investigated: (i) dynamic spectrum access where the licensed and unlicensed users, share the uplink channel frequency band and (ii) local licensing approach using the so called micro operator, which holds an exclusive license of its own. Approximated outage probability expression is derived for the dynamic spectrum access scenario, while a closed-form solution is attained for the micro-operator. The analysis also incorporates the use of retransmissions when messages are detected in error. Our numerical results show how reliability and delay are related in either scenarios.