Abstract
The emergence of Internet-of-Things (IoT) has enabled the connectivity of billions of smart devices and sensor nodes to the Internet. Such a large number of connected devices requires the development of new energy efficient and long-range technologies 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. Nevertheless, in dense deployments, LoRa has limited capacity since it adopts the ALOHA random access protocol which suffers from unavoidable collisions. Therefore, recently, non-orthogonal multiple access (NOMA) has been integrated with LoRa in order to improve its spectral efficiency by multiplexing users in the power domain. This work studies the performance of NOMA-enabled LoRa networks in both AWGN and Rayleigh fading channels. Finally, the effect of inter-spreading factor interference is investigated in order to highlight on the impact of the imperfect orthogonality of LoRa spreading factors.
| Original language | British English |
|---|---|
| Title of host publication | Proceedings - 4th International Conference on Advanced Communication Technologies and Networking, CommNet 2021 |
| Editors | Faissal El Bouanani, Fouad Ayoub |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781665403061 |
| DOIs | |
| State | Published - 2021 |
| Event | 4th International Conference on Advanced Communication Technologies and Networking, CommNet 2021 - Virtual, Online, Morocco Duration: 3 Dec 2021 → 5 Dec 2021 |
Publication series
| Name | Proceedings - 4th International Conference on Advanced Communication Technologies and Networking, CommNet 2021 |
|---|
Conference
| Conference | 4th International Conference on Advanced Communication Technologies and Networking, CommNet 2021 |
|---|---|
| Country/Territory | Morocco |
| City | Virtual, Online |
| Period | 3/12/21 → 5/12/21 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Fading Channel
- LoRa
- NOMA
- SER
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