Impact of M2M traffic on human-type communication users on the LTE uplink channel

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

doi:10.1109/latincom.2015.7430142

Cited by 17 publications

(6 citation statements)

References 15 publications

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“…Thus, our analysis has a strong European focus, where roaming is heavily used and regulation efforts are pursuing the awakening of "silent roamers". 6 Although different technical roaming configurations (i.e., HR, LBO, IHBO) might be used for different IoT verticals (allowing the M2M platform to respond to specific QoS requirements), from the M2M platform dataset we currently lack visibility into these details. We complement this analysis investigating the traffic of more than 3 million UK smart meters comparing the ones configured in HR roaming with ones native to the MNO.…”

Section: Discussionmentioning

confidence: 99%

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Where Things Roam: Uncovering Cellular IoT/M2M Connectivity

Lutu,

Jun,

Finamore

et al. 2020

Preprint

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Support for "things" roaming internationally has become critical for Internet of Things (IoT) verticals, from connected cars to smart meters and wearables, and explains the commercial success of Machine-to-Machine (M2M) platforms. We analyze IoT verticals operating with connectivity via IoT SIMs, and present the first large-scale study of commercially deployed IoT SIMs for energy meters. We also present the first characterization of an operational M2M platform and the first analysis of the rather opaque associated ecosystem.For operators, the exponential growth of IoT has meant increased stress on the infrastructure shared with traditional roaming traffic. Our analysis quantifies the adoption of roaming by M2M platforms and the impact they have on the underlying visited Mobile Network Operators (MNOs). To manage the impact of massive deployments of device operating with an IoT SIM, operators must be able to distinguish between the latter and traditional inbound roamers. We build a comprehensive dataset capturing the device population of a large European MNO over three weeks. With this, we propose and validate a classification approach that can allow operators to distinguish inbound roaming IoT devices.

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Section: Discussionmentioning

confidence: 99%

“…Furthermore, we core our analysis on roaming dynamics. Prior literature on cellular network traffic has focused on traditional, people-to-people communication or M2M communication within a single MNO [6,10,18,19]. Vallina-Rodriguez et al [20] analyzes roaming, primarily national roaming, using crowdsourced measurements.…”

Section: Related Workmentioning

confidence: 99%

Where Things Roam: Uncovering Cellular IoT/M2M Connectivity

Lutu,

Jun,

Finamore

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Furthermore, we core our analysis of roaming dynamics. Prior literature on cellular network traffic has focused on traditional, people-to-people communication or M2M communication within a single MNO [9,13,21,22]. Vallina-Rodriguez et al [23] analyzes roaming, primarily national roaming, using crowdsourced measurements.…”

Section: Related Workmentioning

confidence: 99%

Where Things Roam

Lutu

Jun²,

Finamore

et al. 2020

Proceedings of the ACM Internet Measurement Conference

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Support for "things" roaming internationally has become critical for Internet of Things (IoT) verticals, from connected cars to smart meters and wearables, and explains the commercial success of Machine-to-Machine (M2M) platforms. We analyze IoT verticals operating with connectivity via IoT SIMs, and present the first large-scale study of commercially deployed IoT SIMs for energy meters. We also present the first characterization of an operational M2M platform and the first analysis of the rather opaque associated ecosystem. For operators, the exponential growth of IoT has meant increased stress on the infrastructure shared with traditional roaming traffic. Our analysis quantifies the adoption of roaming by M2M platforms and the impact they have on the underlying visited Mobile Network Operators (MNOs). To manage the impact of massive deployments of device operating with an IoT SIM, operators must be able to distinguish between the latter and traditional inbound roamers. We build a comprehensive dataset capturing the device population of a large European MNO over three weeks. With this, we propose and validate a classification approach that can allow operators to distinguish inbound roaming IoT devices.

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“…Moreover, an algorithm named Iterative Maximum Expansion (IME) is used for scheduling H2H services. In [8] the impact of massive M2M traffics on the performance of different H2H services like VoIP, CBR and video over the LTE uplink channels was investigated, when both dynamic and semi-persistent scheduling is used. The authors in [9] and [10] presented a predictive uplink resource allocation scheme for event based M2M application over LTE.…”

Section: A Related Workmentioning

confidence: 99%

“…On the other hand, a lower bound of P1 can be obtained by P2. It is because the fact that expressions in (7) and (8) are satisfy all P1's constraints due to x l * uς assures the binary constraints in P1.…”

Section: Propositionmentioning

confidence: 99%

Delay-sensitive resource allocation for relay-aided M2M communication over LTE-advanced networks

Mardani

Mohebi

Maham

et al. 2017

2017 IEEE Symposium on Computers and Communications (ISCC)

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Machine-to-machine (M2M) communications consist of a large number of smart devices that communicate automatically without human intervention. The Third-Generation Partnership Project (3GPP) Long-Term Evolution (LTE) and LTE-Advanced (LTE-A), due to some features such as IP connectivity and scalability, are ready-to-use infrastructures for the M2M communications implementation. In the next generation of cellular networks with M2M devices, radio resource allocation is a major issue. In order to solve the issue, this paper addresses the efficient resource block (RB) allocation problem for different relay-aided cellular and M2M user equipments (UEs) to maximize the end-to-end data rate under different constraints of Single Carrier Frequency Division Multiple Access (SC-FDMA). The proposed solution also satisfies the maximum power budget, the minimum data rate and statistical QoS delay requirements for prioritizing different traffics under total power constraint. Numerical results demonstrate the effectiveness of the proposed scheme.

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Impact of M2M traffic on human-type communication users on the LTE uplink channel

Cited by 17 publications

References 15 publications

Where Things Roam: Uncovering Cellular IoT/M2M Connectivity

Where Things Roam: Uncovering Cellular IoT/M2M Connectivity

Where Things Roam

Delay-sensitive resource allocation for relay-aided M2M communication over LTE-advanced networks

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