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Energy Efficient Channel State Classification for Lifetime Enhancement of LPWA Networks

Abstract : Current Low Power Wide Area Network (LPWAN) wireless transceivers are designed, or configured at deployment time, to function assuming a worse-case application scenario. Most of the time, they waste a significant amount of energy when operated under favourable channel conditions. Energy efficient and accurate channel state classification is imperative for selecting the optimum trade-off between transceiver performance and amount of saved energy, without impacting transmission quality. This work presents a novel, low complexity channel state indicator and a simple mono-feature classifier for channel state recognition. The classifier is trained using a set of experimental data acquisitions and has a 96% accuracy when tested with a new collected data set. Specially designed for LPWA applications, the classifier is capable of distinguishing undisturbed channels from those suffering from both mobility-induced fading and interference, while operating at low to medium SNR.
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Submitted on : Tuesday, January 8, 2019 - 9:51:12 AM
Last modification on : Wednesday, January 26, 2022 - 3:36:24 AM
Long-term archiving on: : Tuesday, April 9, 2019 - 1:54:10 PM


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Chhayarith Heng Uy, Carolynn Bernier, Sylvie Charbonnier. Energy Efficient Channel State Classification for Lifetime Enhancement of LPWA Networks. COMSNETS 2019 - 11th International Conference on COMmunication Systems & NETworkS, Jan 2019, Bangalore, India. ⟨10.1109/COMSNETS.2019.8711438⟩. ⟨cea-01972976⟩



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