TY - GEN
T1 - Max-Min Fair Power Control and Coverage Probability for UAV-Assisted Cooperative and Cognitive NOMA
AU - Arzykulov, Sultangali
AU - Celik, Abdulkadir
AU - Nauryzbayev, Galymzhan
AU - Eltawil, Ahmed
N1 - KAUST Repository Item: Exported on 2021-12-16
PY - 2021
Y1 - 2021
N2 - We study a relay-based unmanned aerial vehicle (UAV) to serve secondary users in a hot-spot area while taking practical considerations that directly impact the achievable network performance into account. Practical deployment issues that are studied include the UAV's path-loss model, hardware impairments, channel and interference cancellation imperfections. We also provide an optimal power allocation (PA) algorithm to guarantee fair performance among secondary NOMA users. Based on the optimal PA, the closed-form coverage probability is derived for secondary users.
AB - We study a relay-based unmanned aerial vehicle (UAV) to serve secondary users in a hot-spot area while taking practical considerations that directly impact the achievable network performance into account. Practical deployment issues that are studied include the UAV's path-loss model, hardware impairments, channel and interference cancellation imperfections. We also provide an optimal power allocation (PA) algorithm to guarantee fair performance among secondary NOMA users. Based on the optimal PA, the closed-form coverage probability is derived for secondary users.
UR - http://hdl.handle.net/10754/674061
UR - https://ieeexplore.ieee.org/document/9620881/
U2 - 10.1109/ICTC52510.2021.9620881
DO - 10.1109/ICTC52510.2021.9620881
M3 - Conference contribution
SN - 978-1-6654-2384-7
BT - 2021 International Conference on Information and Communication Technology Convergence (ICTC)
PB - IEEE
ER -