Survey on Clean Slate Cellular-IoT Standard Proposals

Guibène, Wael; Nolan, Keith; Kelly, Mark

doi:10.1109/cit/iucc/dasc/picom.2015.240

Cited by 19 publications

(12 citation statements)

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“…Figure 3 organizes the proposed standards according to their developing organizations, while Table II summarizes technical specifications of different standards. A qualitative comparison of some LPWA technologies can be found in [51]. Most of these efforts also involve several proprietary LPWA connectivity providers discussed in the previous section.…”

Section: Standardsmentioning

confidence: 99%

Low Power Wide Area Networks: An Overview

Raza

Kulkarni

Sooriyabandara

2017

IEEE Commun. Surv. Tutorials

1,604

958

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Abstract-Low Power Wide Area (LPWA) networks are attracting a lot of attention primarily because of their ability to offer affordable connectivity to the low-power devices distributed over very large geographical areas. In realizing the vision of the Internet of Things (IoT), LPWA technologies complement and sometimes supersede the conventional cellular and short range wireless technologies in performance for various emerging smart city and machine-to-machine (M2M) applications. This review paper presents the design goals and the techniques, which different LPWA technologies exploit to offer wide-area coverage to lowpower devices at the expense of low data rates. We survey several emerging LPWA technologies and the standardization activities carried out by different standards development organizations (e.g., IEEE, IETF, 3GPP, ETSI) as well as the industrial consortia built around individual LPWA technologies (e.g., LORa™ Alliance, WEIGHTLESS-SIG, and DASH7 Alliance). We further note that LPWA technologies adopt similar approaches, thus sharing similar limitations and challenges. This paper expands on these research challenges and identifies potential directions to address them. While the proprietary LPWA technologies are already hitting the market with large nationwide roll-outs, this paper encourages an active engagement of the research community in solving problems that will shape the connectivity of tens of billions of devices in the next decade.

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Section: Standardsmentioning

confidence: 99%

Low Power Wide Area Networks: An Overview

Raza

Kulkarni

Sooriyabandara

2017

IEEE Commun. Surv. Tutorials

1,604

958

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“…Thanks to the usage of the unlicensed band, the unlicensed LPWAN providers do not necessarily pay for spectrum licensing, as a result it reduces the cost of deployments. For the unlicensed LPWAN, LoRa and Sigfox are the two biggest competitors [104], [105]. 1) LoRa: LoRa, stands for Long Range.…”

Section: Lpwan Technologiesmentioning

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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“…The proliferation of mobile IoT requires MNOs to develop new technologies and services that would address the challenges of serving IoT devices in the networks historically optimized for human traffic (Palattella et al, 2016;Pötsch et al, 2013). Indeed, existing cellular technologies were designed for high-data speed, while common requirements for IoT communications are low rate, low power consumption, low cost, and support for a massive number of devices (e.g., Guibene et al, 2015;Ratasuk et al, 2015). To satisfy these requirements, 3GPP (The 3rd Generation Partnership Project) developed several low-power wide-area radio technology standards (3GPP, 2016) -Narrowband IoT (NB-IoT), LTE-M (LTE for machine type communication), and EC-GSM-IoT (Extended coverage GSM IoT), with the first two technologies being actively deployed around the world (GSMA, 2019).…”

Section: New Radio Technologies and Embedded Simmentioning

confidence: 99%

Technology and value network evolution in telehealth

Vesselkov

Hämmáinen

Töyli

2018

Technological Forecasting and Social Change

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Vesselkov, Hämmäinen, and Töyli formed the idea, constructed models and scenarios. Vesselkov conducted the interviews and wrote the paper. Hämmäinen and Töyli edited the text.Publication IV: "Design and governance of mHealth data sharing" Vesselkov formed the idea, collected the data, conducted interviews and wrote the paper. Hämmäinen and Töyli provided comments on the analysis and edited the text.Publication V: "Internet of things (IoT) platform competition: consumer switching versus provider multihoming" Basaure and Vesselkov formed the idea. Basaure designed the model, run the simulations, and wrote most of the paper. Vesselkov supported the modeling, wrote Sections 2.5 and 2.6, commented other sections, and edited the text. Töyli provided comments on the analysis and edited the text. Publication VI: "Technology and Value Network Evolution in Telehealth"Vesselkov, Hämmäinen, and Töyli formed the idea. Vesselkov collected the data and wrote the paper. Hämmäinen and Töyli provided comments on the analysis and edited the text. RQ1. How do mobile IoT usage patterns differ from consumer devices and across industries?RQ2. How could embedded SIM technology affect the mobile ecosystem? RQ3. How could collaboration and competition be governed in emerging consumer IoT data platforms and particularly mobile health data platforms? RQ4. How could mobile platform providers acting as mobile health data platform providers position themselves in the ecosystem of the healthcare industry?

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Survey on Clean Slate Cellular-IoT Standard Proposals

Cited by 19 publications

References 1 publication

Low Power Wide Area Networks: An Overview

Low Power Wide Area Networks: An Overview

IoT Connectivity Technologies and Applications: A Survey

Technology and value network evolution in telehealth

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