An Analysis of Uplink Success Probability in Multi-Cell Lora Networks Under Different Channel Models

by   Tien Hoa Nguyen, et al.
Trường Đại học Bách Khoa Hà Nội

The development of the low power wide area network (LPWAN) for the internet of things (IoTs) is expected to grow widely, allowing remote monitoring of smart devices from a distance of up to several kilometers. This paper studies the performance and success probability of multi-cell LoRa networks. Using tools of stochastic geometry, the paper analyzes the important metric namely success probability in both Rayleigh and Rician channel models. The obtained analysis helps investigate and evaluate other quality criteria in the multi-cell LoRa network such as throughput, SNR and SIR requirements. Moreover, we provide numerical simulation results to corroborate the theoretical analysis and to verify how our analysis can characterize the given reliability target.


Scalability Analysis of a LoRa Network under Imperfect Orthogonality

Low-power wide-area network (LPWAN) technologies are gaining momentum fo...

LoRa Throughput Analysis with Imperfect Spreading Factor Orthogonality

LoRa is one of the promising techniques for enabling Low Power Wide Area...

Performance Evaluation of the LoRa Protocol in the context of Smart Meter

In recent years, the use of Low Power Wide Area Network (LPWAN) is incre...

Cell-Free Massive MIMO with Nonorthogonal Pilots for Internet of Things

We consider Internet of Things (IoT) organized on the principles of cell...

Analysis of LTE-A Heterogeneous Networks with SIR-based Cell Association and Stochastic Geometry

This paper provides an analytical framework to characterize the performa...

Analysis of LoRaWAN Uplink with Multiple Demodulating Paths and Capture Effect

Low power wide area networks (LPWANs), such as the ones based on the LoR...

Please sign up or login with your details

Forgot password? Click here to reset