Performance Analysis of RACH procedure with Beta Traffic-Activated Machine-Type- Communication
Résumé
Machine-Type-Communication (MTC) is a key
enabler for a variety of novel smart systems, such as smart
grid, eHealth, Intelligent Transport System (ITS), and smart city,
opening the area of the cyber physical systems. These systems may
require the use of a huge number of MTC devices, which will put
a great pressure on the whole network, i.e. Radio Access Network
(RAN) and Core Network (CN) parts, resulting in the shape
of congestion and system overload. Aiming at better evaluating
the network performance under the existence of MTC traffic
and also the effectiveness of the congestion control methods, the
3rd Generation Partnership Project (3GPP) group has proposed
two traffic models: Uniform Distribution (over 60 s) and Beta
Distribution (over 10 s). In this paper, a recursive operationbased
analytical model, namely General Recursive Estimation
(GRE), for modeling the performance of RACH procedure in
the existence of MTC with Beta traffic is proposed. In order to
show the effectiveness of our analytical model GRE, many metrics
have been considered, such as the total number of MTC devices
in each Random Access (RA) slot, the number of success MTC
devices in each RA slot, and the Cumulative Distribution Function
(CDF) of preamble transmission. Numerical results demonstrate
the accuracy of GRE. Moreover, our model GRE could be used
to model the performance of RACH procedure with any type of
traffic.