LoRa-based Over-the-Air Computing for Sat-IoT

TL;DR

This paper introduces a novel LoRa-based Over-the-Air Computing scheme for Sat-IoT, leveraging collision-based multiple access to improve resource efficiency and estimation accuracy in satellite communications.

Contribution

It proposes LoRa-TBMA, a semantic-aware multiple access scheme that harnesses LoRa collisions for efficient satellite IoT data aggregation, demonstrating significant performance gains.

Findings

LoRa-TBMA outperforms orthogonal schemes in MSE reduction

It saves satellite communication resources like power, latency, and bandwidth

Applicable to satellite scenarios using angular modulations

Abstract

Satellite Internet of Things (Sat-IoT) is a novel framework in which satellites integrate sensing, communication and computing capabilities to carry out task-oriented communications. In this paper we propose to use the Long Range (LoRa) modulation for the purpose of estimation in a Sat-IoT scenario. Then we realize that the collisions generated by LoRa can be harnessed in an Over-the-Air Computing (AirComp) framework. Specifically, we propose to use LoRa for Type-based Multiple Access (TBMA), a semantic-aware scheme in which communication resources are assigned to different parameters, not users. Our experimental results show that LoRa-TBMA is suitable as a massive access scheme, provides large gains in terms of mean squared error (MSE) and saves scarce satellite communication resources (i.e., power, latency and bandwidth) with respect to orthogonal multiple access schemes. We also analyze the satellite scenarios that could take advantage of the LoRa-TBMA scheme. In summary, that angular modulations, which are very useful in satellite communications, can also benefit from AirComp.