TY - GEN
T1 - Performance Analysis of LoRa-Backscatter Communication System in AWGN Channels
AU - Ali, Abubakar S.
AU - Bariah, Lina
AU - Muhaidat, Sami
AU - Sofotasios, Paschalis
AU - Al-Qutayri, Mahmud
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Future wireless networks are evolving towards enabling reliable communications for miniature-sized and resource-constrained Internet of things (IoT) devices, imposing stringent requirements on the future mobile networks. These requirements include low cost, ultra-low latency, improved spectral and energy efficiencies, higher reliability, and enhanced data rate. Motivated by the fact that these devices have limited capabilities and might be in inaccessible places, which make battery replacement or recharging a challenging task, energy-efficient solutions are required to ensure uninterrupted and seamless wireless communications for power-limited IoT devices. In this paper, we propose a framework for Long Range (LoRa)-enhanced backscatter communications (BackCom). In particular, we present error-rate performance analysis of the underlying system over additive white Gaussian noise (AWGN) channels. Also, simulation results are presented in order to validate the analytical framework, and to give useful insights into the error rate performance of LoRa-BackCom over AWGN channels.
AB - Future wireless networks are evolving towards enabling reliable communications for miniature-sized and resource-constrained Internet of things (IoT) devices, imposing stringent requirements on the future mobile networks. These requirements include low cost, ultra-low latency, improved spectral and energy efficiencies, higher reliability, and enhanced data rate. Motivated by the fact that these devices have limited capabilities and might be in inaccessible places, which make battery replacement or recharging a challenging task, energy-efficient solutions are required to ensure uninterrupted and seamless wireless communications for power-limited IoT devices. In this paper, we propose a framework for Long Range (LoRa)-enhanced backscatter communications (BackCom). In particular, we present error-rate performance analysis of the underlying system over additive white Gaussian noise (AWGN) channels. Also, simulation results are presented in order to validate the analytical framework, and to give useful insights into the error rate performance of LoRa-BackCom over AWGN channels.
UR - http://www.scopus.com/inward/record.url?scp=85123993421&partnerID=8YFLogxK
U2 - 10.1109/CommNet52204.2021.9641890
DO - 10.1109/CommNet52204.2021.9641890
M3 - Conference contribution
AN - SCOPUS:85123993421
T3 - Proceedings - 4th International Conference on Advanced Communication Technologies and Networking, CommNet 2021
BT - Proceedings - 4th International Conference on Advanced Communication Technologies and Networking, CommNet 2021
A2 - El Bouanani, Faissal
A2 - Ayoub, Fouad
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Advanced Communication Technologies and Networking, CommNet 2021
Y2 - 3 December 2021 through 5 December 2021
ER -