LoRa Performance Analysis with Superposed Signal Decoding

This letter considers the use of successive interference cancellation (SIC) to decode superposed signals in Long Range (LoRa) networks. We build over a known stochastic geometry model for LoRa networks and include the effect of recovering colliding packets through SIC. We derive closed-form expressions for the successful decoding of packets using SIC taking path loss, fading, noise, and interference into account, while we validate the model by means of Monte Carlo simulations. Results show that SIC-enabled LoRa networks improve worst-case reliability by up to 34%. We show that, for at least one test scenario, SIC increases by 159% the number of served users with the same worst-case reliability level.

[1]  P. J. Marcelis,et al.  DaRe: Data Recovery through Application Layer Coding for LoRaWAN , 2017, 2017 IEEE/ACM Second International Conference on Internet-of-Things Design and Implementation (IoTDI).

[2]  Tao Gu,et al.  FTrack: Parallel Decoding for LoRa Transmissions , 2019, IEEE/ACM Transactions on Networking.

[3]  Harald Haas,et al.  The Distribution of Path Losses for Uniformly Distributed Nodes in a Circle , 2008, J. Electr. Comput. Eng..

[4]  Richard Demo Souza,et al.  Coded Redundant Message Transmission Schemes for Low-Power Wide Area IoT Applications , 2019, IEEE Wireless Communications Letters.

[5]  Youngnam Han,et al.  Spreading Factor Allocation for Massive Connectivity in LoRa Systems , 2018, IEEE Communications Letters.

[6]  Edmund Taylor Whittaker,et al.  The Hypergeometric Function , 1996 .

[7]  Megumi Kaneko,et al.  Decoding Superposed LoRa Signals , 2018, 2018 IEEE 43rd Conference on Local Computer Networks (LCN).

[8]  Octavia A. Dobre,et al.  Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges , 2016, IEEE Communications Surveys & Tutorials.

[9]  Orestis Georgiou,et al.  Low Power Wide Area Network Analysis: Can LoRa Scale? , 2016, IEEE Wireless Communications Letters.

[10]  Ilenia Tinnirello,et al.  Impact of LoRa Imperfect Orthogonality: Analysis of Link-Level Performance , 2018, IEEE Communications Letters.

[11]  Martin Haenggi,et al.  Stochastic Geometry for Wireless Networks , 2012 .

[12]  Aamir Mahmood,et al.  Scalability Analysis of a LoRa Network Under Imperfect Orthogonality , 2018, IEEE Transactions on Industrial Informatics.

[13]  Hirley Alves,et al.  Analysis and Performance Optimization of LoRa Networks With Time and Antenna Diversity , 2018, IEEE Access.

[14]  Dominique Dallet,et al.  An Enhanced LoRa-Like Receiver for the Simultaneous Reception of Two Interfering Signals , 2019, 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).

[15]  Abed Ellatif Samhat,et al.  Internet of Mobile Things: Overview of LoRaWAN, DASH7, and NB-IoT in LPWANs Standards and Supported Mobility , 2019, IEEE Communications Surveys & Tutorials.

[16]  Matti Latva-aho,et al.  Aggregation and Resource Scheduling in Machine-Type Communication Networks: A Stochastic Geometry Approach , 2017, IEEE Transactions on Wireless Communications.