TY - JOUR
T1 - Resource Allocation for UAV-Assisted Wireless Powered D2D Networks With Flying and Ground Eavesdropping
AU - Yin, Cheng
AU - Yang, Huiling
AU - Xiao, Pei
AU - Chu, Zheng
AU - Garcia-Palacios, Emi
PY - 2023/8
Y1 - 2023/8
N2 - UAV-assisted wireless power transfer D2D networks have great potential to improve flexibility, spectrum efficiency and lifetime of future wireless networks. We consider an unmanned aerial vehicle (UAV)-assisted wireless powered device-to-device (D2D) wireless communication network in the presence of ground and flying eavesdroppers. We design optimization algorithms to allocate the resources of the network and maximize the secrecy energy efficiency (SEE) by optimizing energy harvesting time and power allocation. The effectiveness and viability of proposed algorithms are illustrated through numerical simulations.
AB - UAV-assisted wireless power transfer D2D networks have great potential to improve flexibility, spectrum efficiency and lifetime of future wireless networks. We consider an unmanned aerial vehicle (UAV)-assisted wireless powered device-to-device (D2D) wireless communication network in the presence of ground and flying eavesdroppers. We design optimization algorithms to allocate the resources of the network and maximize the secrecy energy efficiency (SEE) by optimizing energy harvesting time and power allocation. The effectiveness and viability of proposed algorithms are illustrated through numerical simulations.
UR - https://doi.org/10.1109/LCOMM.2023.3289881
U2 - 10.1109/LCOMM.2023.3289881
DO - 10.1109/LCOMM.2023.3289881
M3 - Article
SN - 1089-7798
VL - 27
SP - 2103
EP - 2107
JO - IEEE Communications Letters
JF - IEEE Communications Letters
IS - 8
ER -
