@inproceedings{4a5ccd9c70e5464e8ab22c9be6cc4447,
title = "Joint Optimization of Energy Efficiency and Spectrum Efficiency of Single-station Multi-satellite MIMO Uplink System",
abstract = "Spectrum efficiency and energy efficiency are important performance indicators of the MIMO satellite injection system. However, maximizing EE and SE is a pair of conflicting goals, and it is difficult for both to achieve the optimal at the same time. This paper studies the joint optimization problem of EE and SE in a single-station multi-satellite MIMO injection system, and proposes a knee-point driven EE-SE optimization algorithm. By guiding the evolution direction of the genetic algorithm through the knee points, the transmission power of the base station can be reasonably allocated without clear preference by the decision maker, and the joint optimization of EE and SE can be realized. The simulation results show that the algorithm has good performance in the optimization of EE-SE.",
keywords = "Energy efficiency, Genetic algorithm, Knee-point, MIMO, Spectrum efficiency",
author = "Juan Zhang and Baoguo Yu and Chengkai Tang and Yi Zhang and Lingling Zhang and Shan Lu",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021 ; Conference date: 17-08-2021 Through 19-08-2021",
year = "2021",
month = aug,
day = "17",
doi = "10.1109/ICSPCC52875.2021.9564747",
language = "英语",
series = "Proceedings of 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021",
}
