ECCR: Edge-Cloud Collaborative Recovery for Low-Power Wide-Area Networks interference mitigation

TL;DR

ECCR is a novel edge-cloud collaborative method for interference mitigation in LP-WANs that reduces data transmission and effectively restores corrupted packets by leveraging multiple base stations and error detection.

Contribution

The paper introduces ECCR, a new interference mitigation approach that eliminates the need to transmit large RSSI samples and utilizes base station collaboration for error recovery.

Findings

ECCR accurately decodes packets with up to 51.76% corruption.

It reduces data transmission by avoiding RSSI sample transmission.

ECCR is applicable to existing LP-WAN systems without extra hardware.

Abstract

Recent advances in Low-Power Wide-Area Networks have mitigated interference by using cloud assistance. Those methods transmit the RSSI samples and corrupted packets to the cloud to restore the correct message. However, the effectiveness of those methods is challenged by the high transmission data amount. This paper presents a novel method for interference mitigation in a Edge-Cloud collaborative manner, namely ECCR. It does not require transmitting RSSI sample any more, whose length is eight times of the packet's. We demonstrate the disjointness of the bit errors of packets at the base stations via real-word experiments. ECCR leverages this to collaborate with multiple base stations for error recovery. Each base station detects and reports bit error locations to the cloud, then both error checking code and interfered packets from other receivers are utilized to restore correct packets. ECCR takes the advantages of both the global management ability of the cloud and the signal to perceive the benefit of each base station, and it is applicable to deployed LP-WAN systems (e.g. sx1280) without any extra hardware requirement. Experimental results show that ECCR is able to accurately decode packets when packets have nearly 51.76% corruption.