General Model for RACH Procedure Performance Analysis

This letter introduces an analytical model aiming at modeling the performance of the Random Access CHannel (RACH) procedure, with a special focus on the case of highly synchronized machine type communication (MTC) traffic activated according to beta distribution. The accuracy of the proposed model is then verified through computer simulation. Obtained results demonstrate the effectiveness of the model to capture the RACH procedure behavior when MTC devices are activated in a highly synchronized way. Note that 1) the proposed model is not dedicated only to beta distribution, but other distributions could be used and 2) this model could be used with any congestion control method managing the number of new arrivals, such as access class barring (ACB).

[1]  Markus Rupp,et al.  Traffic Models for Machine Type Communications , 2013, ISWCS.

[2]  Lusheng Ji,et al.  A first look at cellular machine-to-machine traffic: large scale measurement and characterization , 2012, SIGMETRICS '12.

[3]  Tarik Taleb,et al.  Group paging optimization for machine-type-communications , 2015, 2015 IEEE International Conference on Communications (ICC).

[4]  Yuan He,et al.  Beta/M/1 Model for Machine Type Communication , 2013, IEEE Communications Letters.

[5]  Petar Popovski,et al.  A Tractable Model of the LTE Access Reservation Procedure for Machine-Type Communications , 2014, 2015 IEEE Global Communications Conference (GLOBECOM).

[6]  Ray-Guang Cheng,et al.  Performance Analysis of Group Paging for Machine-Type Communications in LTE Networks , 2013, IEEE Transactions on Vehicular Technology.

[7]  Jenhui Chen,et al.  A Dynamic Resource Allocation Scheme for Group Paging in LTE-Advanced Networks , 2015, IEEE Internet of Things Journal.

[8]  Ray-Guang Cheng,et al.  Modeling and Estimation of One-Shot Random Access for Finite-User Multichannel Slotted ALOHA Systems , 2012, IEEE Communications Letters.

[9]  P. G. Poonacha,et al.  Performance Analysis of Split Preamble RAN Over-load Protocol for M2M Communications in Cellular Networks , 2015, ArXiv.

[10]  P. G. Poonacha,et al.  Performance analysis of a machine-to-machine friendly MAC algorithm in LTE-advanced , 2014, 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

[11]  Ray-Guang Cheng,et al.  Analysis of Slotted-Access-Based Channel Access Control Protocol for LTE-Advanced Networks , 2015, Wirel. Pers. Commun..

[12]  Markus Laner,et al.  Traffic models for machine-to-machine (M2M) communications: types and applications , 2014 .

[13]  Kae Won Choi,et al.  Hybrid Random Access and Data Transmission Protocol for Machine-to-Machine Communications in Cellular Networks , 2015, IEEE Transactions on Wireless Communications.

[14]  Russ Bubley,et al.  Randomized algorithms , 1995, CSUR.