Energy Efficient Channel State Classification for Lifetime Enhancement of LPWA Networks

Chhayarith Heng Uy (1, 2) , Carolynn Bernier (1) , Sylvie Charbonnier (2)

1 CEA-LETI - Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information
2 GIPSA-SAIGA - GIPSA - Signal et Automatique pour la surveillance, le diagnostic et la biomécanique

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.

Domains: Engineering Sciences [physics]; Engineering Sciences [physics]; Micro and nanotechnologies/Microelectronics; Engineering Sciences [physics]; Signal and Image processing; Engineering Sciences [physics]; Electronics

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⟩