The impact of massive machine type communication devices on the access probability of human-to-human users in LTE networks

Andrade, Tiago Faustino; Astudillo, Carlos A.; Fonseca, Nelson L. S. da

doi:10.1109/latincom.2014.7041873

Cited by 12 publications

(5 citation statements)

References 7 publications

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“…One of the possible solutions is resources splitting. The authors in [ 36 ] analyze the impact of M2M traffic on H2H traffic. Simulation results show that H2H traffic has a better performance with RACH resource separation scheme while the M2M traffic prefers ACB scheme.…”

Section: Related Workmentioning

confidence: 99%

Performance Analysis of a Novel Hybrid S-ALOHA/TDMA Protocol for Beta Distributed Massive MTC Access

Sui

Wang

et al. 2017

Sensors

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Simultaneous random access of massive machine type communications (MTC) devices are expected to cause congestion in the radio access network. Not only the performance of MTC, but the coexisting human to human (H2H) communications would also degrade dramatically without an appropriate medium access control (MAC) protocol. However, most existing solutions focus on the random access procedure without dealing with the sunsequent data transmission procedure. In this paper, we firstly derive a packet size threshold based on the capacity analysis of slotted ALOHA (S-ALOHA) and time division multiple access (TDMA) protocols. Then a novel hybrid S-ALOHA/TDMA MAC protocol (HSTMAC) is presented for massive MTC access, in which the resources are separated for beta distributed machine to machine (M2M) traffic with small size packets and high priority H2H traffic with large size packets. Considering access class barring (ACB) scheme as an overload control method, the system equilibrium under arbitrary retransmission limit is analyzed rigorously, which can provide insights on quality of service (QoS) guarantee. Finally, a dynamic pre-backoff (DPBO) algorithm is designed for load balance by adaptively scattering the highly synchronized M2M traffic over the transmission interval. Numerical and simulation results validate our analysis and show that the HSTMAC protocol is superior to pure S-ALOHA protocol and pure TDMA protocol. The proposed DPBO algorithm can achieve a higher success probability and resource utilization ratio with a much reduced average delay than that of uniform pre-backoff (UPBO) scheme.

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Section: Related Workmentioning

confidence: 99%

Performance Analysis of a Novel Hybrid S-ALOHA/TDMA Protocol for Beta Distributed Massive MTC Access

Sui

Wang

et al. 2017

Sensors

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“…Previous work [7]- [10] has attempted to evaluate the impact of MTC services on QoS provisioning for HTC users. These papers have focused on either RA procedure or UL scheduling performance, which does not capture the effect that one mechanism has on the other, thus easily jeopardizing QoS provisioning.…”

Section: Htcmentioning

confidence: 99%

“…In [10], we highlighted the impact of massive number of MTC devices on the access probability of HTC users. Moreover, we have shown that the access probability and access delay of both MTC devices and HTC users can be greatly affected when many MTC devices try to access the network simultaneously.…”

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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“…Maybe the achievable data rate of cellular IoT network is sufficient for almost all the M2M services, but it cannot support the giant amount of simultaneous access attempts, even sacrificing the quality of service (QoS) performance of human-to-human (H2H) communications. 13 Unlike the traditional voice and data traffic for human-type communications (HTC), there are always infrequent and small-data transmissions in MTC. 2 Besides, billions of MTC devices would generate a great deal of signaling and data process information under different scenarios, resulting in serious congestion and overload for both the radio access network (RAN) and core network (CN).…”

Section: Introductionmentioning

confidence: 99%

Autonomous and adaptive congestion control for machine-type communication in cellular network

Pan

Wen

et al. 2019

International Journal of Distributed Sensor Networks

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Machine-type communications have suffered serious congestion, overload, and poor quality of service problems in cellular networks, since the cellular networks are designed for human-to-human communications. Moreover, current solutions just focus on the congestion for single base station and cannot adaptively work in the dynamic and complex conditions. In this article, we provide an autonomous and adaptive attractor-selection-based congestion control scheme for massive access from machine-type communication devices based on the resource separation scheme. First, we introduce a feasible and self-adaptive extended attractor-selection mechanism to decide which base station to be chosen. Simultaneously, an effective estimation algorithm for the traffic load of base stations is also designed to represent the network traffic load without frequent information exchanges among devices or base stations. With the available access resources and estimated traffic load taken into consideration, massive access attempts can receive the decisions via the broadcast and adaptively choose proper stations for alleviation of the congestion and overload. Finally, simulation results show that the proposed attractor-selection-based congestion control scheme achieves better performance in terms of average access delay, collision probability, and throughput of the whole system, adaptively accommodating to unpredictable environments under cellular networks.

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The impact of massive machine type communication devices on the access probability of human-to-human users in LTE networks

Cited by 12 publications

References 7 publications

Performance Analysis of a Novel Hybrid S-ALOHA/TDMA Protocol for Beta Distributed Massive MTC Access

Performance Analysis of a Novel Hybrid S-ALOHA/TDMA Protocol for Beta Distributed Massive MTC Access

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

Autonomous and adaptive congestion control for machine-type communication in cellular network

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