TY - GEN
T1 - Simultaneous Information and Energy Transfer in mmWave UAV-assisted Cellular Networks
AU - Wang, Xueyuan
AU - Cenk Gursoy, M.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - In this paper, we consider simultaneous information and energy transfer in millimeter Wave (mmWave) unmanned aerial vehicle (UAV)-assisted cellular networks, in which the user locations are modeled as a Thomas cluster process. Distinguishing features of mmWave communications, such as different path loss models for line-of-sight (LOS) and none-LOS (NLOS) links and directional transmissions, are taken into account. Initially, we characterize the complementary cumulative distribution functions (CCDFs) and the probability density functions (PDFs) of the distances from the typical user equipment (UE) to its own cluster center UAV, other Poisson point process (PPP) distributed UAVs and the ground base stations (GBSs). The association probability, energy and signal-to-interference-plus-noise ratio (SINR) coverages of different tier UAVs and GBSs are investigated. Moreover, we define a successful transmission probability to jointly present the energy and SINR coverages and provide general expressions. Through numerical results, we investigate the system coverage performance.
AB - In this paper, we consider simultaneous information and energy transfer in millimeter Wave (mmWave) unmanned aerial vehicle (UAV)-assisted cellular networks, in which the user locations are modeled as a Thomas cluster process. Distinguishing features of mmWave communications, such as different path loss models for line-of-sight (LOS) and none-LOS (NLOS) links and directional transmissions, are taken into account. Initially, we characterize the complementary cumulative distribution functions (CCDFs) and the probability density functions (PDFs) of the distances from the typical user equipment (UE) to its own cluster center UAV, other Poisson point process (PPP) distributed UAVs and the ground base stations (GBSs). The association probability, energy and signal-to-interference-plus-noise ratio (SINR) coverages of different tier UAVs and GBSs are investigated. Moreover, we define a successful transmission probability to jointly present the energy and SINR coverages and provide general expressions. Through numerical results, we investigate the system coverage performance.
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U2 - 10.1109/SPAWC.2019.8815566
DO - 10.1109/SPAWC.2019.8815566
M3 - Conference contribution
AN - SCOPUS:85072321870
T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
BT - 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019
Y2 - 2 July 2019 through 5 July 2019
ER -