Artificial Intelligence for Communications and Networks. Second EAI International Conference, AICON 2020, Virtual Event, December 19-20, 2020, Proceedings

Research Article

An Efficient Energy Efficiency Power Allocation Algorithm for Space-Terrestrial Satellite NOMA Networks

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  • @INPROCEEDINGS{10.1007/978-3-030-69066-3_19,
        author={Yanan Wu and Lina Wang},
        title={An Efficient Energy Efficiency Power Allocation Algorithm for Space-Terrestrial Satellite NOMA Networks},
        proceedings={Artificial Intelligence for Communications and Networks. Second EAI International Conference, AICON 2020, Virtual Event, December 19-20, 2020, Proceedings},
        proceedings_a={AICON},
        year={2021},
        month={7},
        keywords={NOMA Stacklberg ADMM Energy efficiency},
        doi={10.1007/978-3-030-69066-3_19}
    }
    
  • Yanan Wu
    Lina Wang
    Year: 2021
    An Efficient Energy Efficiency Power Allocation Algorithm for Space-Terrestrial Satellite NOMA Networks
    AICON
    Springer
    DOI: 10.1007/978-3-030-69066-3_19
Yanan Wu1, Lina Wang1
  • 1: University of Science and Technology Beijing

Abstract

Due to the shortage of spectrum resources, Non-orthogonal multiple access (NOMA) has been considered as a forward-looking technology to enhance the performance for space-terrestrial satellite networks. In this paper, the power allocation algorithm is proposed on account of Stackelberg game to apply in the space-terrestrial satellite NOMA networks. The terrestrial base stations (BSs) and satellites are leaders and followers, respectively. The alternative direction method of multipliers (ADMM) algorithm is applied in BSs layer and satellites layer to acquire optimal power allocation scheme. The results indicate that the system energy efficiency has great promotion by the proposed algorithm.