The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Low Power Wide Area Network Analysis: Can LoRa Scale?
Open accessAbstract
Low power wide area (LPWA) networks are making spectacular progress from design, standardization, to commercialization. At this time of fast-paced adoption, it is of utmost importance to analyze how well these technologies will scale as the number of devices connected to the Internet of Things inevitably grows. In this letter, we provide a stochastic geometry framework for modeling the performance of a single gateway LoRa network, a leading LPWA technology. Our analysis formulates the unique peculiarities of LoRa, including its chirp spread-spectrum modulation technique, regulatory limitations on radio duty cycle, and use of ALOHA protocol on top, all of which are not as common in today's commercial cellular networks. We show that the coverage probability drops exponentially as the number of end-devices grows due to interfering signals using the same spreading sequence. We conclude that this fundamental limiting factor is perhaps more significant toward LoRa scalability than for instance spectrum restrictions. Our derivations for co-spreading factor interference found in LoRa networks enables rigorous scalability analysis of such networks.
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Stochastic Geometry for Wireless Networks
Haenggi, M. (2012) · Cambridge University Press eBooks · doi:10.1017/cbo9781139043816 · Cited by 2,438
Low power wide area networks: an overview
Raza, U., Kulkarni, P., & Sooriyabandara, M. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2652320 · Cited by 2,047
Self-citationA Study of LoRa: Long Range & Low Power Networks for the Internet of Things
Augustin, A., Yi, J., Clausen, T., & Townsley, W. (2016) · Sensors · doi:10.3390/s16091466 · Cited by 1,482
On the coverage of LPWANs: range evaluation and channel attenuation model for LoRa technology
Petajajarvi, J., Mikhaylov, K., Roivainen, A., Hanninen, T., & Pettissalo, M. (2015) · 2015 14th International Conference on ITS Telecommunications (ITST) · doi:10.1109/itst.2015.7377400 · Cited by 735
Dedicated networks for IoT: PHY / MAC state of the art and challenges
Goursaud, C., & M. Gorce, J. (2015) · EAI Endorsed Transactions on Internet of Things · doi:10.4108/eai.26-10-2015.150597 · Cited by 437
Long-Range IoT Technologies: The Dawn of LoRa™
Vangelista, L., Zanella, A., & Zorzi, M. (2015) · Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-319-27072-2_7 · Cited by 262
Low Throughput Networks for the IoT: Lessons learned from industrial implementations
Margelis, G., Piechocki, R. J., Kaleshi, D., & Thomas, P. (2015) · IEEE World Forum on Internet of Things (WF-IoT) · doi:10.1109/wf-iot.2015.7389049 · Cited by 151
Low Power Wide Area Networks: A Survey.Preprint
Raza, U., Kulkarni, P., & Sooriyabandara, M. (2016) · arXiv (Cornell University) · Cited by 36
Self-citationConnectivity Scaling Laws in Wireless Networks
Coon, J. P., Georgiou, O., & Dettmann, C. P. (2015) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2015.2476488 · Cited by 11
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Cited by
Low power wide area networks: an overview
Raza, U., Kulkarni, P., & Sooriyabandara, M. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2652320 · Cited by 2,047
Self-citationA Survey on LoRa Networking: Research Problems, Current Solutions, and Open Issues
Shanmuga Sundaram, J. P., Du, W., & Zhao, Z. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2949598 · Cited by 517
A Survey on Scalable LoRaWAN for Massive IoT: Recent Advances, Potentials, and Challenges
Jouhari, M., Saeed, N., Alouini, M.-S., & Amhoud, E. M. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3274934 · Cited by 365
A survey of data fusion in smart city applications
Lau, B. P. L., Marakkalage, S. H., Zhou, Y., Hassan, N. U., Yuen, C., Zhang, M., & Tan, U.-X. (2019) · Information Fusion · doi:10.1016/j.inffus.2019.05.004 · Cited by 320
Low-Power Wide Area Network Technologies for Internet-of-Things: A Comparative Review
Ikpehai, A., Adebisi, B., Rabie, K. M., Anoh, K., Ande, R. E., Hammoudeh, M., Gacanin, H., & Mbanaso, U. M. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2883728 · Cited by 320
Metadata
- Authors
- Georgiou, O., & Raza, U.
- Venue
- IEEE Wireless Communications Letters
- Published
- 2017-04
- Volume
- 6
- Issue
- 2
- Pages
- 162-165
- ISSN
- 2162-2337 (ISSN-L)
- 2162-2345
- OpenAlex
- W2537187694
- Cited by
- 729
- References
- 9
- FWCI
- 38.93
- Type
- journal article
- Language
- en
- Open access
- green
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