Modelling and Analysing a Dynamic Resource Allocation Scheme for M2M Traffic in LTE Networks

Borodakiy, Vladimir Y.; Buturlin, Ivan A.; Gudkova, Irina А.; Samouylov, Konstantin

doi:10.1007/978-3-642-40316-3_37

Cited by 21 publications

(4 citation statements)

References 9 publications

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“…This is also used for LTE and MIMO systems. These articles [17, 18] gives about the Qos enhancement using integration of optimization algorithms. Virtual token method and exp-rule methods are discussed.…”

Section: Related Workmentioning

confidence: 99%

Neural embedded smart link generation scheme for heterogeneous network

Padaganur

Mallapur²

2018

Heliyon

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The Long Term Evolution (LTE) network is a very much popular network in heterogeneous network. Heterogeneous networks provide maximum data rate by integrating various technologies and channels, based on appropriate network selection. For the sensible data transmission in the LTE network, noise plays an vital role as channel is a free space. The minimum noise channel selection is a decision of present and previous status of network channel. Proposed scheme develop neural network model, which will act as a smart link generation scheme for computing minimum noise channel path for sensible data transmission. Hence, proposed scheme will improve performance of the network. Result indicates that, proposed scheme improves throughput and system reliability. Proposed scheme is also reduces packet loss rate and energy consumption in contrast with conventional techniques.

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Section: Related Workmentioning

confidence: 99%

Neural embedded smart link generation scheme for heterogeneous network

Padaganur

Mallapur²

2018

Heliyon

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“…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%

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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“…The performance analysis of RAC schemes requires mathematical methods, primarily, mathematical teletraffic and queuing theories [7]. These methods are widely applied for modelling and analysing not only the last mentioned RAC problem [8,9], but also dynamic resource allocation [10] and ICIC [11] problems.…”

Section: Introductionmentioning

confidence: 99%

Algorithm for Calculating QoS Parameters of Video Conferencing and Video on Demand Services in Wireless Next Generation Networks

Borodakiy

Samouylov

Gudkova

et al. 2015

JICTS

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The standardization of 5G wireless next generation networks is planned to be started by 3GPP consortium in 2020. Nevertheless, for today, there is the lack of QoS related 3GPP and ITU-T recommendations describing various popular services, for example video conferencing. The problem is to find the optimal bit rate values for this service not affecting the background lower priority services. In this paper, we propose a tool to solve this problem. The tool includes, first, a mathematical model of pre-emption based radio admission control scheme for video conferencing and background video on demand, and second, an effective algorithm for calculating QoS parameters for these services. The results of the paper could be used to find the optimal bit rates for video conferencing and further develop a proposition for standardization activities in video conferencing recommended parameters.

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Modelling and Analysing a Dynamic Resource Allocation Scheme for M2M Traffic in LTE Networks

Cited by 21 publications

References 9 publications

Neural embedded smart link generation scheme for heterogeneous network

Neural embedded smart link generation scheme for heterogeneous network

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

Algorithm for Calculating QoS Parameters of Video Conferencing and Video on Demand Services in Wireless Next Generation Networks

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