Analyzing Impacts of Coexistence between M2M and H2H Communication on 3GPP LTE System

Gudkova, Irina А.; Samouylov, Konstantin; Buturlin, Ivan A.; Borodakiy, Vladimir Y.; Gerasimenko, Mikhail; Galinina, Olga; Andreev, Sergey

doi:10.1007/978-3-319-13174-0_13

Cited by 31 publications

(10 citation statements)

References 14 publications

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“…Here volume of resources means share of a time slot that is needed to guarantee the bitrate 0 r [2,3]. Thus, the total amount of resources in the system is R=1.…”

Section: Simulation Resultsmentioning

confidence: 99%

Simulation Of The Limited Resources Queuing System For Performance Analysis Of Wireless Networks

Sopin¹,

Ageev²,

Shorgin³

2018

ECMS 2018 Proceedings Edited by Lars Nolle, Alexandra Burger, Christoph Tholen, Jens Werner, Jens Wellhausen

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Queuing systems with limited resources, in which customers require a device and a certain amount of limited resources for the duration of their service, proved their effectiveness in the performance analysis of modern wireless networks. However, the application of the queuing systems leads to complex computations. In this paper, we develop the simulation tool for the limited resources queuing systems and apply it to the analysis of M2M traffic characteristics in a LTE network cell.

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“…Here volume of resources means share of a time slot that is needed to guarantee the bitrate 0 r [2,3]. Thus, the total amount of resources in the system is R=1.…”

Section: Simulation Resultsmentioning

confidence: 99%

Simulation Of The Limited Resources Queuing System For Performance Analysis Of Wireless Networks

Sopin¹,

Ageev²,

Shorgin³

2018

ECMS 2018 Proceedings Edited by Lars Nolle, Alexandra Burger, Christoph Tholen, Jens Werner, Jens Wellhausen

View full text Add to dashboard Cite

show abstract

“…A random access mechanism in an LTE system that considers the coexistence of M2M and H2HDs was studied in [22]. The mechanism divides the channel resource capacity into two parts for the two device types.…”

Section: Related Work and Motivationmentioning

confidence: 99%

“…If the RTQ does not have any waiting request to access the resource, then the RAC will give the chance to a waiting service in the NRTQ to obtain the resource. If all queues are empty, then the resource is left available. To study the performance of the proposed scheme and compare it with others’ proposed schemes, we can classify the queuing methods used in the proposed scheme into three methods: Method I: The proposed model operates without queuing similar to [3, 22]. Method II: The system has one queue for each M2M services type without allowing an interrupted M2M‐NRT to be put again into its queue (without feedback link). Method III: The system is similar to method II except that it allows the interrupted M2M‐NRT to be put again into its queue (with feedback link). …”

Section: Proposed Radio Access Schemementioning

confidence: 99%

Performance analysis of cognitive‐based radio resource allocation in multi‐channel LTE‐A networks with M2M/H2H coexistence

AlQahtani

2017

IET Communications

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“…Almost all of them split the radio resources into two groups, one is for HTC users and the other for MTC devices. Gudkova et al [9] proposed a framework to evaluate the performance of LTE UL channel, including radio resource allocation. Traffic generated by MTC devices involved a maximum number of PRBs allocated to MTC devices, whereas traffic generated by HTC users guaranteed a minimum number of them for this purpose.…”

Section: A Impact Of M2m Communications On Htc Usersmentioning

confidence: 99%

Allocation of Control Resources for Machine-to-Machine and Human-to-Human Communications Over LTE/LTE-A Networks

Andrade

Astudillo

Fonseca

2016

IEEE Internet Things J.

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The Internet of Things (IoT) paradigm stands for virtually interconnected objects that are identifiable and equipped with sensing, computing, and communication capabilities. Services and applications over the IoT architecture can take benefit of the long-term evolution (LTE)/LTE-Advanced (LTE-A), cellular networks to support machine-type communication (MTC). Moreover, it is paramount that MTC do not affect the services provided for traditional human-type communication (HTC). Although previous studies have evaluated the impact of the number of MTC devices on the quality of service (QoS) provided to HTC users, none have considered the joint effect of allocation of control resources and the LTE random-access (RA) procedure. In this paper, a novel scheme for resource allocation on the packet downlink (DL) control channel (PDCCH) is introduced. This scheme allows PDCCH scheduling algorithms to consider the resources consumed by the random-access procedure on both control and data channels when prioritizing control messages. Three PDCCH scheduling algorithms considering RA-related control messages are proposed. Moreover, the impact of MTC devices on QoS provisioning to HTC traffic is evaluated. Results derived via simulation show that the proposed PDCCH scheduling algorithms can improve the QoS provisioning and that MTC can strongly impact on QoS provisioning for real-time traffic. Index Terms-Long-term evolution (LTE), LTE-Advanced (LTE-A), machine-type communications (MTCs), packet downlink control channel (PDCCH) scheduling algorithm, randomaccess (RA) procedure. NOMENCLATURE List of Acronyms ACK Acknowledgement. 3GPP 3rd Generation Partnership Project. BSR Buffer status report. CN Core network. CBR Constant bit rate. DL Downlink. eNB Evolved NodeB. FTP File transfer protocol. GBR Guaranteed bit rate. H2H Human-to-human. HARQ Hybrid automatic repeat request.

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Analyzing Impacts of Coexistence between M2M and H2H Communication on 3GPP LTE System

Cited by 31 publications

References 14 publications

Simulation Of The Limited Resources Queuing System For Performance Analysis Of Wireless Networks

Simulation Of The Limited Resources Queuing System For Performance Analysis Of Wireless Networks

Performance analysis of cognitive‐based radio resource allocation in multi‐channel LTE‐A networks with M2M/H2H coexistence

Allocation of Control Resources for Machine-to-Machine and Human-to-Human Communications Over LTE/LTE-A Networks

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