Modelling a Random Access Channel with Collisions for M2M Traffic in LTE Networks

Borodakiy, Vladimir Y.; Samouylov, Konstantin; Gaidamaka, Yuliya; Abaev, Pavel O.; Buturlin, Ivan A.; Etezov, Shamil A.

doi:10.1007/978-3-319-10353-2_26

Cited by 5 publications

(10 citation statements)

References 12 publications

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“…Msg. 2 from the e-NodeB within the time interval called a response window [3], i.e., if more than one MS use the same preamble for Msg. 1 and a collision occurs; the e-NodeB will detect this event and will not send reply to UE.…”

Section: Random Access Proceduresmentioning

confidence: 99%

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Enhancement of MTC Performance in LTE Networks by Maximizing Random Access Procedure Throughput

Fayed¹,

El-Din²

2018

JEE

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A fundamental requirement for any cellular system is the possibility for the device to request a connection setup, commonly referred to as random access procedure. In LTE (long term evolution) networks, the distribution of a limited number of radio resources among H2H (Human-to-Human) users and increasing number of MTC (Machine-Type-Communication) devices in M2M (Machine-to-Machine) communications is one of the main problems. An analytical model is conducted to compute the throughput for message 1 and message 2. This is done using a Markov chain model for the four messages signaling flow with buffering for message 4. This model is used in LTE 3GPP (Third-Generation Partnership Project) random access. The network performance will be enhanced by determining a dedicated arrival rate corresponding to maximum throughput of message 2 that will assist the network planner to optimize the network performance. In this paper, a deduced arrival rate less than 3.333 requests/ms will maximize network throughput.

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Section: Random Access Proceduresmentioning

confidence: 99%

“…The finance approach is an important factor to increasing LTE network performance which is a problem facing the network planners. Random Access Procedure (RACH) is a possible solution for this problem [3].…”

mentioning

confidence: 99%

Enhancement of MTC Performance in LTE Networks by Maximizing Random Access Procedure Throughput

Fayed¹,

El-Din²

2018

JEE

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“…Making a number of simplifying assumptions for the RACH procedure, we introduce below the basic notation and build a mathematical model in the form of a discrete Markov chain according to [19]. The time interval between the first RA attempt and the completion of the random access procedure is called an access delay [7].…”

Section: Random Access Procedure Model Notation and Assumptionsmentioning

confidence: 99%

“…In the case of high network traffic access delay increases significantly, and this can be critical in various emergency situations [7]. Some other features of M2 M traffic transmission were considered in [10][11][12][13][14][15][16][17][18][19] taking into account problems of optimal radio resources allocation [11][12][13][14][15], overload control mechanisms based on Access Class Barring (ACB) schemes [10,14] and other congestion control problems [16,17].…”

Section: Introductionmentioning

confidence: 99%

“…Unlike to known results, the objective of this study is to obtain a closed-form solution, which depends on the minimum number of RACH procedure parameters and is easy for calculation. This paper is an extension of [19], where the approach to analytical modeling using Markov chain apparatus was proposed and the Monte Carlo simulation model was developed. In contrast to [19], this paper concentrates on the analytical model of a random access procedure in LTE cell and focuses on two metrics for RACH capacity evaluationthe access success probability and the average access delay in the presence of collisions and physical channel congestion.…”

Section: Introductionmentioning

confidence: 99%

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Baseline Analytical Model for Machine-Type Communications Over 3GPP RACH in LTE-Advanced Networks

Samouylov

Gaidamaka

Gudkova

et al. 2016

Communications in Computer and Information Science

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Machine-type communication (MTC) is a new service defined by the 3rd Generation Partnership Project (3GPP) to provide machines to interact to each other over future wireless networks. One of the main problems in LTE-advanced networks is the distribution of a limited number of radio resources among enormously increasing number of MTC devices with different traffic characteristics. The radio resources allocation scheme for MTC traffic transmission in LTE networks is also standardized by 3GPP and implements the Random Access Channel (RACH) mechanism for transmitting data units from a plurality of MTC devices. Until now, there is a number of problems with the congestion in radio access network, as evidenced by a series of articles calling attention to the fact that more research is required, and even modification of the RACH mechanism in order to address drawbacks, exhibiting for example when a large number of devices are trying to access simultaneously. However, not many results have been obtained for the analysis, which allows to explore a variety of performance metrics of RACH mechanism on a qualitative level. In this paper the mathematical model in a form of the discrete Markov chain is built taking into account the features of the access procedure under congestion conditions and collisions. This baseline model allows to obtain the solution for key performance measures of RACH mechanism, such as the access success probability and the average access delay, in an analytical closed-form. Based on the proposed baseline model it is possible to obtain new results for the analysis of some modifications of RACH mechanism such as ACB (Access Class Baring).

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Dynamic Preamble Subset Allocation for RAN Slicing in 5G Networks

et al. 2018

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Modelling a Random Access Channel with Collisions for M2M Traffic in LTE Networks

Cited by 5 publications

References 12 publications

Enhancement of MTC Performance in LTE Networks by Maximizing Random Access Procedure Throughput

Enhancement of MTC Performance in LTE Networks by Maximizing Random Access Procedure Throughput

Baseline Analytical Model for Machine-Type Communications Over 3GPP RACH in LTE-Advanced Networks

Dynamic Preamble Subset Allocation for RAN Slicing in 5G Networks

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