How SIC-enabled LoRa Fares under Imperfect Orthogonality?Show others and affiliations
2021 (English)In: IWCMC 2021: 2021 17TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC), IEEE, 2021, p. 729-734Conference paper, Published paper (Refereed)
Abstract [en]
With the increase of connected Internet-of-things (IoT) devices, the need for low-power wide-area networks (LP-WANs) is imminent, and LoRaWAN is one such technology that offers an elegant solution to the problem of long-range communication and battery consumption. A parameter of special interest in LoRaWAN is the spreading factor (SF), and it is often assumed that communication between different SFs is independent of each other. However, this claim has been practically debunked by many works, proving that SFs have imperfect orthogonality. To maximize connectivity and throughput, several techniques have been introduced, such as non-orthogonal-multiple-access (NOMA) and dynamic resource allocation. NOMA is getting a lot of attention recently, especially for IoT networks, because it embraces interference and tries to obtain desired information packets from corrupted ones. Furthermore, NOMA can be easily implemented on the base-station side by using the principle of successive interference cancellation (SIC). In this paper, we investigate how SIC, under the assumption of imperfect orthogonality of SF channels, can be used to increase the performance of the system. We find the expressions for success and coverage probability considering various SF allocation schemes and found the most efficient scheme for different scenarios.
Place, publisher, year, edition, pages
IEEE, 2021. p. 729-734
Series
International Wireless Communications and Mobile Computing Conference, ISSN 2376-6492
Keywords [en]
Low power wide area networks, LoRaWAN, interference analysis, stochastic geometry, successive interference cancellation
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-43605DOI: 10.1109/IWCMC51323.2021.9498903ISI: 000707024100131Scopus ID: 2-s2.0-85125628626ISBN: 978-1-7281-8616-0 (print)OAI: oai:DiVA.org:miun-43605DiVA, id: diva2:1608623
Conference
17th IEEE International Wireless Communications and Mobile Computing Conference (IEEE IWCMC), JUN 28-JUL 02, 2021, ELECTR NETWORK
2021-11-042021-11-042022-03-15Bibliographically approved