Downlink Transmission for RIS-Assisted MIMO NOMA by Exploiting Statistical CSI

LU Jiacheng; WANG Bin; ZHANG Jun; NI Yiyang

doi:10.11999/JEIT230630

Volume 46 Issue 4

Apr. 2024

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Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(4): 1257-1265

LU Jiacheng, WANG Bin, ZHANG Jun, NI Yiyang. Downlink Transmission for RIS-Assisted MIMO NOMA by Exploiting Statistical CSI[J]. Journal of Electronics & Information Technology, 2024, 46(4): 1257-1265. doi: 10.11999/JEIT230630

Citation:

LU Jiacheng, WANG Bin, ZHANG Jun, NI Yiyang. Downlink Transmission for RIS-Assisted MIMO NOMA by Exploiting Statistical CSI[J]. Journal of Electronics & Information Technology, 2024, 46(4): 1257-1265. doi: 10.11999/JEIT230630

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Downlink Transmission for RIS-Assisted MIMO NOMA by Exploiting Statistical CSI

doi: 10.11999/JEIT230630

1.
School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
2.
School of Physics and Information Engineering, Jiangsu Second Normal University, Nanjing 210013, China

Funds: The National Natural Science Foundation of China (62071247), The Natural Science Foundation of Jiangsu Province (BK2021022532)

Received Date: 2023-06-25
Rev Recd Date: 2023-12-16

Available Online: 2023-12-25

Publish Date: 2024-04-24

Abstract

Abstract

For a Reconfigurable Intelligent Surface (RIS)-assisted Multiple Input Multiple Output (MIMO) Non-Orthogonal Multiple Access (NOMA) downlink system, the transmit covariances matrix at the base station and the phase-shifting matrix at the RIS are jointly designed based on statistical Channel State Information (CSI). First, in the spatial correlated Rician channel, a deterministic large-system approximation for the ergodic sum rate is obtained for an RIS-assisted MIMO-NOMA system by resorting to the large-dimensional random matrix theory. Then, by maximizing the approximated sum rate, the transmit covariances matrix for the strong and weak user as well as the phase-shifting matrix at the RIS are designed based on statistical CSI under the constraints of total transmit power and the rates threshold for weak user. The simulations validate the high accuracy of our approximations and our proposed transmit covariances and phase-shifting matrix can improve the system performances significantly.

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References(16)

References

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