A new LoRa-compatible modulation improving the LoRaWAN network level performance

In this paper we propose an improvement of the LoRa modulation called “Dual Orthogonal LoRa Modulation” which increases the link level bit rate of about 70%-80% at the expense of a 3dB penalty SNR. The Dual Orthogonal LoRa Modulation is introduced in a cross-layer design framework: this paper shows that - despite the penalty of 3dB in SNR - the overall performance of the LoRaWAN network are greatly improved in some real-life scenarios, taking into account the problems most highlighted for LoRaWAN networks i.e., the congestion and the scalability of LoRaWAN. The improvements at the network level are achieved thanks to the characteristics of the Dual Orthogonal LoRa Modulation which provide additional levels of freedom to the Spreading Factors assignment

[1]  Claire Goursaud,et al.  Dedicated networks for IoT : PHY / MAC state of the art and challenges , 2015, IOT 2015.

[2]  Usman Raza,et al.  How Agile is the Adaptive Data Rate Mechanism of LoRaWAN? , 2018, 2018 IEEE Global Communications Conference (GLOBECOM).

[3]  Davide Magrin,et al.  Performance evaluation of LoRa networks in a smart city scenario , 2017, 2017 IEEE International Conference on Communications (ICC).

[4]  Ryuji Kohno,et al.  On the impact of downlink feedback on LoRa performance , 2017, 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

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

[6]  Lorenzo Vangelista,et al.  A battery lifetime comparison between LoraWAN and Wireless MBus smart meters , 2019, 2019 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom).

[7]  Mahesh Sooriyabandara,et al.  Does Bidirectional Traffic Do More Harm Than Good in LoRaWAN Based LPWA Networks? , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.

[8]  Lorenzo Vangelista,et al.  Frequency Shift Chirp Modulation: The LoRa Modulation , 2017, IEEE Signal Processing Letters.

[9]  Mahesh Sooriyabandara,et al.  Low Power Wide Area Networks: An Overview , 2016, IEEE Communications Surveys & Tutorials.

[10]  Lorenzo Vangelista,et al.  Time-Power Multiplexing for LoRa-Based IoT Networks: An Effective Way to Boost LoRaWAN Network Capacity , 2019, Int. J. Wirel. Inf. Networks.

[11]  Lorenzo Vangelista,et al.  A Power Efficient Adaptive Data Rate Algorithm for LoRaWAN networks , 2018, 2018 21st International Symposium on Wireless Personal Multimedia Communications (WPMC).

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

[13]  Marco Chiani,et al.  On the LoRa Modulation for IoT: Waveform Properties and Spectral Analysis , 2019, IEEE Internet of Things Journal.

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

[15]  Seung-Hoon Hwang,et al.  A survey on LPWA technology: LoRa and NB-IoT , 2017, ICT Express.

[16]  Gerhard Fettweis,et al.  A Novel Modulation for IoT: PSK-LoRa , 2019, 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring).

[17]  Andrea Zanella,et al.  Long-range communications in unlicensed bands: the rising stars in the IoT and smart city scenarios , 2015, IEEE Wireless Communications.