# Fixed Rate Statistical QoS Provisioning for Markovian Sources in Machine Type Communication

## TL;DR

This paper analyzes the reliability-latency trade-off in machine type communication over Rayleigh fading channels using fixed rate transmission modeled as a Markov process, providing bounds for effective capacity under QoS constraints.

## Contribution

It introduces a fixed rate transmission model for MTC with Markovian channel and traffic, deriving bounds for effective capacity considering QoS and channel memory decay.

## Key findings

- Derived bounds for effective capacity under delay constraints.
- Analyzed trade-offs between reliability and latency in MTC.
- Modeled traffic and channel as Markov processes for performance evaluation.

## Abstract

In this paper, we study the trade-off between reliability and latency in machine type communication (MTC), which consists of single transmitter and receiver in the presence of Rayleigh fading channel. We assume that the transmitter does not know the channel conditions, therefore it would be transmitting information over a fixed rate. The fixed rate transmission is modeled as a two-state continuous-time Markov process, where the optimum transmission rate is obtained. Moreover, we conduct a performance analysis for different arrival traffic originated from MTC device via effective rate transmission. We consider that the arrival traffic is modeled as a Markovian process namely Discrete-Time Markov process, Fluid Markov process, and Markov Modulated Poisson process, under delay violation constraints. Using effective bandwidth and effective capacity theories, we evaluate the trade-off between reliability-latency and identify QoS (Quality of Service) requirement, and derive lower and upper bounds for the effective capacity subject to channel memory decay rate limits.