TY - JOUR
T1 - On the Error Performance of LoRa-Enabled Aerial Networks Over Shadowed Rician Fading Channels
AU - Bariah, Lina
AU - Jaafar, Wael
AU - Muhaidat, Sami
AU - Elgala, Hany
AU - Yanikomeroglu, Halim
N1 - Publisher Copyright:
© 1997-2012 IEEE.
PY - 2022/10/1
Y1 - 2022/10/1
N2 - UAVs can be used as aerial relays to provide communication services in remote uncovered areas or dense environments with occasional high capacity demands. However, due to the low power of Internet-of-Things (IoT) devices, UAV-based IoT applications, such as precision agriculture and environment monitoring, may experience high shadowing or equipment failure, which degrades the communications' quality between IoT devices and their gateways. To tackle this issue, we consider the long range (LoRa) communication technology. Specifically, we investigate the performance of LoRA-enabled aerial communications, where a LoRa gateway communicates with a distant IoT device through the assistance of an amplify-and-forward (AF) aerial relay. Under the assumption of shadowed Rician fading channels, we characterize at first the end-to-end LoRa communication link. Then, we derive an exact symbol error rate expression for the underlying system model. Finally, numerical results are presented to corroborate the efficacy of our derived expressions and provide valuable insights into the error performance of LoRa-enabled aerial networks.
AB - UAVs can be used as aerial relays to provide communication services in remote uncovered areas or dense environments with occasional high capacity demands. However, due to the low power of Internet-of-Things (IoT) devices, UAV-based IoT applications, such as precision agriculture and environment monitoring, may experience high shadowing or equipment failure, which degrades the communications' quality between IoT devices and their gateways. To tackle this issue, we consider the long range (LoRa) communication technology. Specifically, we investigate the performance of LoRA-enabled aerial communications, where a LoRa gateway communicates with a distant IoT device through the assistance of an amplify-and-forward (AF) aerial relay. Under the assumption of shadowed Rician fading channels, we characterize at first the end-to-end LoRa communication link. Then, we derive an exact symbol error rate expression for the underlying system model. Finally, numerical results are presented to corroborate the efficacy of our derived expressions and provide valuable insights into the error performance of LoRa-enabled aerial networks.
KW - Long range communication
KW - LoRa
KW - UAV
KW - unmanned aerial vehicle
UR - http://www.scopus.com/inward/record.url?scp=85135757151&partnerID=8YFLogxK
U2 - 10.1109/LCOMM.2022.3193409
DO - 10.1109/LCOMM.2022.3193409
M3 - Article
AN - SCOPUS:85135757151
SN - 1089-7798
VL - 26
SP - 2322
EP - 2326
JO - IEEE Communications Letters
JF - IEEE Communications Letters
IS - 10
ER -