Novel Double-Chirp Preamble Design for Multiuser Asynchronous Massive MIMO LoRa Networks
The Khai Nguyen, Ebrahim Bedeer

TL;DR
This paper introduces a new double-chirp preamble design and detection method for multiuser asynchronous massive MIMO LoRa networks, enabling simultaneous detection of multiple end devices with improved accuracy and reduced complexity.
Contribution
It proposes a novel double-chirp preamble and assignment method to mitigate preamble resemblance, along with a low-complexity recursive DFT calculation for multiuser LoRa networks.
Findings
Achieves detection of up to 15 EDs with only 2 dB power increase.
Mitigates preamble resemblance effect in multiuser LoRa networks.
Reduces computational complexity with recursive DFT technique.
Abstract
This paper proposes a novel preamble design and detection method for multiuser asynchronous massive MIMO LoRa networks. Unlike existing works, which only consider the preamble detection for a single target end devices (ED), we proposed to simultaneously detect the preambles of multiple EDs that asynchronously transmit their uplink (UL) packets to a multiple-antenna gateway (GW). First we show that the preamble detection in multiuser LoRa networks with the conventional single-chirp preamble suffers from the so-called preamble resemblance effect. This means that the preamble of any single ED can resemble the preambles of all EDs in the network, and make it impossible to determine to which ED a preamble belongs. To address this problem, a novel double-chirp preamble design and a preamble assignment method are proposed, which can mitigate the preamble resemblance effect by making the…
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Taxonomy
TopicsIoT Networks and Protocols · Advanced Wireless Communication Technologies · Advanced MIMO Systems Optimization
