Performance Analysis of Split Preamble RAN Over-load Protocol for M2M Communications in Cellular Networks

TL;DR

This paper develops a stochastic model to analyze the performance of disjoint and joint preamble allocation methods in RACH procedures for M2M communications, providing insights into collision probability, delay, and optimal resource allocation.

Contribution

It introduces a Markov chain based mathematical model for JA/DA methods in RACH, enabling accurate performance estimation and optimal preamble reservation for M2M traffic.

Findings

The model accurately estimates collision and success probabilities.

Optimal preamble reservation minimizes access delay.

Numerical results match simulation data.

Abstract

Machine type communications (MTC) in 3G/4G networks is getting more attention recently due to bursty nature of traffic characteristics in contrast to Poisson type H2H traffic. A large number of methods have been suggested in the literature. In this paper we give a mathematical model on performance analysis of Disjoint Allocation (DA) and Joint Allocation (JA) methods for allocating preambles to M2M and H2H users. In an earlier work we had investigated the performance of two possible splitting preamble methods on collision probability and energy reduction for MTC subscribers. In this paper we develop a stochastic model for JA/DA method in RACH procedure using a $K$th order Markov chain approach and carry out performance analysis in terms of collision probability, access success probability, average access delay, statistics of preamble transmissions and statistics of access delay for M2M users. The optimal number of reserved preamble set is derived based on the given success access delay threshold. Numerical results verifies the simulation results and demonstrates that this model can estimate the performance of the JA/DA method accurately.