TY - JOUR
T1 - Energy Efficient Full-Duplex UAV Relaying Networks under Load-Carry-and-Delivery Scheme
AU - Qi, Nan
AU - Wang, Mei
AU - Wang, Wen Jing
AU - Tsiftsis, Theodoros A.
AU - Yao, Rugui
AU - Yang, Guanghua
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2020
Y1 - 2020
N2 - In this paper, an energy-efficient full-duplex (FD) unmanned aerial vehicle (UAV) relaying network is proposed, where UAV acts as a mobile relay and assists information exchange between two transceivers. Specifically, the load-carry-and-delivery scheme is applied to positively take advantage of the time-varying channel gain in delay-tolerant networks; meanwhile, the FD communication policy is used to potentially further increase the energy efficiency (EE). In particular, the self-interference channel gains follow the complex Gaussian distribution instead of being constant. The EE is first rigorously derived and then, the optimum flight speed is determined under the information causality constraint to maximize the EE. Numerical results demonstrate that the proposed scheme outperforms the half-duplex as well as static schemes in terms of the EE. In addition, the impact of the self-interference cancellation factor on the EE is also demonstrated, which provides valuable insights for the system design of UAV-assisted relaying networks.
AB - In this paper, an energy-efficient full-duplex (FD) unmanned aerial vehicle (UAV) relaying network is proposed, where UAV acts as a mobile relay and assists information exchange between two transceivers. Specifically, the load-carry-and-delivery scheme is applied to positively take advantage of the time-varying channel gain in delay-tolerant networks; meanwhile, the FD communication policy is used to potentially further increase the energy efficiency (EE). In particular, the self-interference channel gains follow the complex Gaussian distribution instead of being constant. The EE is first rigorously derived and then, the optimum flight speed is determined under the information causality constraint to maximize the EE. Numerical results demonstrate that the proposed scheme outperforms the half-duplex as well as static schemes in terms of the EE. In addition, the impact of the self-interference cancellation factor on the EE is also demonstrated, which provides valuable insights for the system design of UAV-assisted relaying networks.
KW - delay-tolerant networks
KW - Energy efficiency (EE)
KW - full-duplex relaying (FDR)
KW - load-carry-and-delivery (LCAD)
KW - UAV
UR - http://www.scopus.com/inward/record.url?scp=85084928633&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2020.2986349
DO - 10.1109/ACCESS.2020.2986349
M3 - 文章
AN - SCOPUS:85084928633
SN - 2169-3536
VL - 8
SP - 74349
EP - 74358
JO - IEEE Access
JF - IEEE Access
M1 - 9058649
ER -