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Time Domain Multiplexed LoRa Modulation Waveform Design for IoT Communication

Shixiang An, Hua Wang, Yiwei Sun, Zhiping Lu, Quantao Yu

2022IEEE Communications Letters28 citationsDOI

Abstract

Long-Range (LoRa) is one of the emerging technologies in low-power wide-area networks (LPWANs). In this letter, we proposed a Time Domain Multiplexed LoRa (TDM-LoRa) modulation to improve the throughput of conventional LoRa by using up-chirp and down-chirp simultaneously. A low complexity non-coherent algorithm for the TDM-LoRa modulation is also presented. We then derive an analytical expression for the bit error rate (BER) of non-coherent demodulation in the additive white Gaussian noise (AWGN) channel. In addition, a scheme that encodes information bits on both in-phase and quadrature components of the TDM-LoRa symbol is presented to further improve the system data rate. Performance analysis and simulation show that our proposed schemes can achieve better spectral efficiency (SE) and throughput without obvious bit error rate (BER) degradation compared to the LoRa Physical Layer (PHY) scheme.

Topics & Concepts

Computer scienceAdditive white Gaussian noiseBit error rateDemodulationElectronic engineeringMultiplexingPhysical layerThroughputAlgorithmReal-time computingChannel (broadcasting)Decoding methodsWirelessTelecommunicationsEngineeringIoT Networks and ProtocolsEnergy Harvesting in Wireless NetworksWireless Body Area Networks
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