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Inter-Protocol Interference Impact of LoRaWAN on IEEE 802.11ah in a Simulation Environment
Mateo Tito-Lara1, Mauricio Domínguez-Limaico1, Edgar Maya-Olalla1
1Facultad de Ingeniería en Ciencias Aplicadas, Universidad Técnica del Norte, Av. 17 de Julio 5-21 y General José María Córdova, Ibarra 100105, Ecuador.
LoRaWAN interference significantly degrades IEEE 802.11ah performance in dense IoT networks. Throughput drops by 31% and packet loss increases by 79% with higher LoRa loads.
Area of Science:
- Wireless communication networks
- Internet of Things (IoT)
- Radio frequency spectrum management
Background:
- Sub-GHz unlicensed bands are crucial for IoT, but spectral coexistence of technologies like LoRaWAN and IEEE 802.11ah poses challenges.
- Dense IoT deployments exacerbate interference issues, impacting network reliability and performance.
Purpose of the Study:
- To analyze the performance impact of LoRaWAN interference on IEEE 802.11ah within a unified simulation environment.
- To quantify the effects of varying node densities and LoRa load on key performance metrics.
- To establish an SINR threshold for packet loss under interference conditions.
Main Methods:
- Utilized an NS-3 simulation environment to model and analyze the coexistence of LoRaWAN and IEEE 802.11ah.
- Integrated both technologies within a unified framework, configuring PHY/MAC parameters and frequency bands (US902-928 MHz ISM band).
- Evaluated performance metrics including throughput, packet loss percentage (PPP), and SINR under diverse network densities and payload sizes.
Main Results:
- IEEE 802.11ah throughput decreased by up to 31% as LoRa node density increased from 10 to 8000.
- Packet loss percentage (PPP) for IEEE 802.11ah increased by up to 79% under high LoRa interference.
- An SINR threshold was identified as a critical factor determining packet loss due to interference.
Conclusions:
- LoRaWAN interference significantly degrades IEEE 802.11ah performance in dense IoT networks.
- The study provides a reproducible methodology for assessing inter-protocol coexistence in unlicensed sub-GHz bands.
- Quantitative evidence supports the design and analysis of multi-protocol IoT networks operating in shared spectrum environments.
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