Paper Info
Title
Discrete Time Markov Chain Model For Analyzing Characteristics Of Rach Procedure Under Massive Machine Type Communications
Abstract
The growth of machine-to-machine (M2M) type interconnections in future mobile networks, such as 5G, LTE and LTE-Advanced, significantly increases both signaling and user data load on the network infrastructure of operators. The great influence on the radio access network has the transmission of massive Machine-type communications. To reduce the cost of servicing this type of traffic and to improve the performance measures, such as access success probability and access delay, the development of analytical methods for the analysis of the transmission of M2M traffic is actual. The paper contains the mathematical model in term of Markov chain, which consider session initiation procedure in random access radio channel and allows to estimate mentioned performance measures using obtained expressions. Given examples show the dependence of the obtained measures on the collision probability and possible retransmission of service messages.
Year
DOI
Venue
2018
10.1145/3231053.3231126
ICFNDS'18: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON FUTURE NETWORKS AND DISTRIBUTED SYSTEMS
Keywords
Field
DocType
LTE-advance, 5G, machine-type communications, random access channel, collision, access success probability, access delay, Markov chain, session initiation procedure, mathematical model
Random-access channel,Retransmission,Computer science,Markov chain,Computer network,Collision,Operator (computer programming),Discrete time and continuous time,Radio access network,Random access
Conference
Citations 
PageRank 
References 
0
0.34
5
Authors
6
Name
Order
Citations
PageRank
Ekaterina G. Medvedeva100.34
Elvira R. Zaripova222.47
Irina Gudkova36912.82
Oksana Semenova400.34
Anastasiya Vlaskina500.34
Yuliya Gaidamaka6176.30