A Random Access Control Scheme for a NOMA-Enabled LoRa Network

Wu, Wei; Wang, Wennai; Yang, Jin; Wang, Bin

doi:10.1007/978-3-030-67720-6_28

Cited by 2 publications

(2 citation statements)

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“…The total transmit power from the base station is normalized to unity, whereby P t = 1. Furthermore, the power allocation coefficients of each user are allocated according to (9) to ensure user fairness. The transmitted symbols are then randomly selected from N possible symbols.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…The Authors in [8] proposed a multi-hop scheme to support parallel transmissions with multiple spreading factors (SFs). Additionally, in [9], the authors proposed a distributed queuing-based user scheduling scheme for collision avoidance in dense LoRa networks. Other works have investigated physical layer-based techniques in order to enhance the data rate of LoRa systems [10], [11].…”

Section: Introductionmentioning

confidence: 99%

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LoRa-Empowered Multi-User Communication for IoT Wireless Networks

AlHamdani¹,

Bariah²,

Muhaidat³

et al. 2022

Preprint

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<p>The emergence of Internet-of-Things (IoT) has led to the development of new energy efficient and long-range wireless technologies, which are necessary for the successful realization of IoT applications. Within this context, long range (LoRa) has emerged as one of the prominent low power wide area network (LPWAN) technologies that is envisioned to accommodate the future IoT requirements. However, current LoRa frameworks suffer from limited network capacity, particularly in dense deployments. Consequently, power domain-superposition modulation (PD-SPM) is integrated with LoRa to alleviate the aforementioned problem. In this paper, the error rate performance of a LoRa-enabled PD-SPM system is investigated over Rayleigh fading channels. Specifically, symbol error rate (SER) expressions are derived to characterize the performance of an arbitrary number of users under extreme fading conditions. Furthermore, Monte Carlo simulations are presented to validate the analytical framework.</p>

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Section: Simulation Resultsmentioning

confidence: 99%