MIMO-NOMA-iterative-receivers

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MIMO-NOMA-iterative-receivers

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Simulation code for "Performance Analysis of MIMO-NOMA Iterative Receivers for Massive Connectivity", by Eduardo N. Tominaga, Onel L. A. López, Hirley Alves, Richard D. Souza and João L. Rebelatto. Paper published in IEEE Access.

MIMO-NOMA-iterative-receivers 최신버젼 다운로드

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# Performance Analysis of MIMO-NOMA Iterative Receivers for Massive Connectivity

This is a code package related to the following scientific article:

E. N. Tominaga, O. L. A. López, H. Alves, R. D. Souza and J. L. Rebelatto, "Performance Analysis of MIMO-NOMA Iterative Receivers for Massive Connectivity," in IEEE Access, vol. 10, pp. 46808-46822, 2022, doi: 10.1109/ACCESS.2022.3170715.

The package contains Matlab scripts that reproduce some of the numerical results and figures in the article. We encourage you to also perform reproducible research!

## Abstract of the Article

The Fifth Generation (5G) of wireless networks introduced support to Machine-Type Communications (MTC), which is the wireless connectivity solution for Internet of Things (IoT) applications. MTC is split into two different categories: massive MTC (mMTC) and critical MTC (cMTC). Current 5G standards and technologies are not capable of fully satisfying the requirements of both mMTC and cMTC use cases, thus industry and academia have already started developing solutions for MTC in beyond-5G and 6G networks. In some mMTC use cases, receivers might not be equipped with a large number of antennas owing to cost, size or power limitations, thus the number of active devices in a time slot may surpass the number of antennas. Due to the limited spatial multiplexing capabilities, only multi-antenna techniques are not enough to provide connectivity to a massive number of devices in such scenarios. In this paper, we propose and evaluate the performance of iterative linear receivers that can address this issue. By combining Multiple-Input Multiple-Output (MIMO) techniques with Non-Orthogonal Multiple Access (NOMA) exploiting Successive Interference Cancellation (SIC) or Parallel Interference Cancellation (PIC) decoding, the proposed novel receivers are capable of performing dynamic ordering SIC/PIC decoding of multiple overlapping signals even when the number of active devices surpasses that of receive antennas. The performance of the receivers is studied in terms of outage probability and computational complexity. Simulation results show that, among all the receivers studied in this paper, the PIC-based Minimum Mean Square Error (MMSE) receiver presents the best performance while at the same time reducing the number of complex signal operations such as matrix inversions.

## Acknowledgments

This work was financially supported in part by the Academy of Finland via (a) 6Genesis Flagship program under grant n.346208 and (b) FIREMAN consortium under grant CHIST-ERA-17-BDSI-003/n.326270; in part by the European Commission via Horizon 2020 research and innovation programme (EU-H2020), Hexa-X project (grant n.101015956); in part by the Brazilian National Concil for Scientific and Technological Development (CNPq), Brazil, via processes 304405/2020-5, 402378/2021 and 305021/2021-4; and in part by the Rede Nacional de Ensino e Pesquisa/Ministério da Ciência, Tecnologia, Inovações e Comunicações (RNP/MCTIC), Brazil, under grant n.01245.010604/2020-14 (6G Mobile Communications Systems).

## License and Referencing

This code package is licensed under the GPLv2 license. If you in any way use this code for research that results in publications, please cite our original article listed above.

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