@inproceedings{b465b28919c04f02b88fa8a041908c50,
title = "A Power Allocation Method for Downlink MUSA",
abstract = "Multi-user shared access (MUSA) is a kind of Non-Orthogonal Multiple Access (NOMA), which is suitable for multi-user transmission and has better channel capacity. This paper analyzes the influencing factors of power allocation on the performance of downlink MUSA from the perspective of sum rate of users and bit error ratio (BER) performance. This paper considers a two-user scenario. A power allocation method based on sum rate of users is proposed and a closed-form expression of the sum rate and power allocation coefficients of users is given in the MUSA downlink scenario. In order to analyze and discuss the impact factors of power allocation on MUSA system performance, extensive simulation results are provided to evaluate the performance of the proposed method under different user weight-ratio scenarios. Through these simulation results, the proposed method is proved to be realistic. Based on this result, a power allocation algorithm for a multi-user scenario is presented in this paper.",
keywords = "BER, MUSA, Power allocation, Sum rate",
author = "Haoran Zhang and Shaochuan Wu and Qiuyi Sui and Rundong Zuo",
note = "Publisher Copyright: {\textcopyright} 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 12th International Conference on Wireless and Satellite Services, WiSATS 2021 ; Conference date: 31-07-2021 Through 02-08-2021",
year = "2022",
doi = "10.1007/978-3-030-93398-2\_61",
language = "英语",
isbn = "9783030933975",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "709--718",
editor = "Qing Guo and Weixiao Meng and Min Jia and Xue Wang",
booktitle = "Wireless and Satellite Systems - 12th EAI International Conference, WiSATS 2021, Proceedings",
address = "德国",
}