In depth performance evaluation of LTE-M for M2M communications

Dawaliby, Samir; Bradai, Abbas; Pousset, Yannis

doi:10.1109/wimob.2016.7763264

Cited by 42 publications

(26 citation statements)

References 19 publications

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“…In particular, PSM keeps a device registered with network, but allows it to turn off the functionalities of paging listening and link quality measurements for energy saving. On the other hand, eDRX allows a device to negotiate with a network [23], [116], [119], [120].…”

Section: ) Lte-m: Lte-m Is Fully Compatible With Existing Cellularmentioning

confidence: 99%

IoT Connectivity Technologies and Applications: A Survey

et al. 2020

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The Internet of Things (IoT) is rapidly becoming an integral part of our life and also multiple industries. We expect to see the number of IoT connected devices explosively grows and will reach hundreds of billions during the next few years. To support such a massive connectivity, various wireless technologies are investigated. In this survey, we provide a broad view of the existing wireless IoT connectivity technologies and discuss several new emerging technologies and solutions that can be effectively used to enable massive connectivity for IoT. In particular, we categorize the existing wireless IoT connectivity technologies based on coverage range and review diverse types of connectivity technologies with different specifications. We also point out key technical challenges of the existing connectivity technologies for enabling massive IoT connectivity. To address the challenges, we further review and discuss some examples of promising technologies such as compressive sensing (CS) random access, non-orthogonal multiple access (NOMA), and massive multiple input multiple output (mMIMO) based random access that could be employed in future standards for supporting IoT connectivity. Finally, a classification of IoT applications is considered in terms of various service requirements. For each group of classified applications, we outline its suitable IoT connectivity options.

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Section: ) Lte-m: Lte-m Is Fully Compatible With Existing Cellularmentioning

confidence: 99%

IoT Connectivity Technologies and Applications: A Survey

et al. 2020

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“…LTE-M can be used everywhere that LTE be used. Because, that is a transfiguration of LTE [22], [23], [24].…”

Section: Related Workmentioning

confidence: 99%

“…Also, the work in [29] employed LTE-M technology accompanied in leaky coaxial cable as the main communication solution for future urban train systems. In other work [24] assessed performance of LTE-M for Machine-to-Machine (M2M) communications. The work in [30] studied LPWAN technology in V2X communication and employed LoRa and LTE-M which are LPWAN based technology in V2X communications.…”

Section: Related Workmentioning

confidence: 99%

LPWAN-Based Hybrid Backhaul Communication for Intelligent Transportation Systems: Architecture and Performance Evaluation

Shahgholi

Sheikhahmadi

Khamforoosh

et al. 2020

Preprint

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There are more than 1.3 billion vehicles around the world and rapidly growing which causing worldwide challenges such as congestion, huge fuel consumption, and emissions. The solution to these issues could be expansion of infrastructure or making efficient use of the current infrastructure using current technological advances by implementing Intelligent Transportation Systems (ITSs). In this paper, we proposed and explored the possibility of using cellular-based Low-Power Wide-Area Network (LPWAN) communications, LTE-M and Narrowband Internet of Things (NB-IoT), for ITS applications. LTE-M and NB-IoT are designed to provide long-range, low power, and lowcost communication infrastructure and can be a viable promising option for immediate implementation in the real world. In order to understand the feasibility of using LPWAN for ITS, we investigated two applications with low and high delay requirements: road traffic monitoring and emergency vehicle management and preemption. Then, the performance of using LTE-M and NB-IoT for providing backhaul communication infrastructure has been evaluated in a realistic simulation environment and compared for these two scenarios in terms of end to end latency per user. SUMO traffic simulator has been used for realistic traffic generation and a Python-based program with the ability to live data exchange with SUMO has been developed for communication performance evaluations. The simulation results demonstrate the feasibility of using LPWAN for ITS backhaul infrastructure where it was in favor of the LTE-M over NB-IoT.

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“…Also, the work in [18] employed LTE-M technology accompanied in leaky coaxial cable as the main communication solution for future urban train systems. In other work [19] assessed the performance of LTE-M for Machine-to-Machine (M2M) communication. In [20] authors studied LPWAN technology in V2X communication and employed Long Range (LoRa) and LTE-M which are LPWAN based technology in V2X communication.…”

Section: Related Workmentioning

confidence: 99%

LPWAN-Based Hybrid Backhaul Communication for Intelligent Transportation Systems: Architecture and Performance Evaluation

Shahgholi

Sheikhahmadi

Khamforoosh

et al. 2020

Preprint

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Increased number of the vehicles on the streets around the world has led to several problems including traﬃc congestion in many regions. Intelligent Transportation Systems (ITSs) are a viable solution for this problem by implementing eﬃcient use of the current infrastructures. In this paper, the possibility of using cellular-based Low-Power Wide-Area Network (LPWAN) communications, LTE-M and NB-IoT, for ITS applications has been investigated. LTE-M and NB-IoT are designed to provide wide-range, low power and low cost communication infrastructures and can be a promising option which has the potential to be employed immediately in real systems. In order to to understand the feasibility of using LPWAN for ITS, two applications with low and high delay requirements have been examined: road traﬃc monitoring and emergency vehicle management. Then, the performance of using LTE-M and NB-IoT for providing backhaul communication infrastructure has been evaluated in a realistic simulation environment and compared for these two scenarios in terms of end to end delay per user. Simulation of Urban MObility (SUMO) has been used for realistic traﬃc generation and a Python-based program has been developed. This program has the ability to exchange live data with SUMO for communication performance evaluation. The simulation results demonstrate the feasibility of using LPWAN for ITS backhaul infrastructure mostly in favor of the LTE-M over NB-IoT.

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In depth performance evaluation of LTE-M for M2M communications

Cited by 42 publications

References 19 publications

IoT Connectivity Technologies and Applications: A Survey

IoT Connectivity Technologies and Applications: A Survey

LPWAN-Based Hybrid Backhaul Communication for Intelligent Transportation Systems: Architecture and Performance Evaluation

LPWAN-Based Hybrid Backhaul Communication for Intelligent Transportation Systems: Architecture and Performance Evaluation

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