The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
The Application of MIMO to Non-Orthogonal Multiple Access
Open accessAbstract
This paper considers the application of multiple-input multiple-output (MIMO) techniques to nonorthogonal multiple access (NOMA) systems. A new design of precoding and detection matrices for MIMO-NOMA is proposed and its performance is analyzed for the case with a fixed set of power allocation coefficients. To further improve the performance gap between MIMO-NOMA and conventional orthogonal multiple access schemes, user pairing is applied to NOMA and its impact on the system performance is characterized. More sophisticated choices of power allocation coefficients are also proposed to meet various quality-of-service requirements. Finally, computer simulation results are provided to facilitate the performance evaluation of MIMO-NOMA and also demonstrate the accuracy of the developed analytical results.
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Cites
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Non-Orthogonal Multiple Access (NOMA) for Cellular Future Radio Access
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On the Performance of Non-Orthogonal Multiple Access in 5G Systems with Randomly Deployed Users
Ding, Z., Yang, Z., Fan, P., & Poor, H. V. (2014) · IEEE Signal Processing Letters · doi:10.1109/lsp.2014.2343971 · Cited by 1,828
Self-citation1 On the Performance of Non-Orthogonal Multiple Access in 5G Systems with Randomly Deployed UsersPreprint
Ding, Z., Yang, Z., Fan, P., Member, S., & Poor, H. V. (2014) · Cited by 1,377
Self-citationFairness for Non-Orthogonal Multiple Access in 5G Systems
Timotheou, S., & Krikidis, I. (2015) · IEEE Signal Processing Letters · doi:10.1109/lsp.2015.2417119 · Cited by 752
5G wireless backhaul networks: challenges and research advances
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Cited by
Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges
Islam, S. M. R., Avazov, N., Dobre, O. A., & Kwak, K.-S. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2621116 · Cited by 2,458
A Survey on Non-Orthogonal Multiple Access for 5G Networks: Research Challenges and Future Trends
Ding, Z., Lei, X., Karagiannidis, G. K., Schober, R., Yuan, J., & Bhargava, V. K. (2017) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2017.2725519 · Cited by 2,392
Self-citationNonorthogonal Multiple Access in Large-Scale Underlay Cognitive Radio Networks
Liu, Y., Ding, Z., Elkashlan, M., & Yuan, J. (2016) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2016.2524694 · Cited by 382
Self-citationFull spectrum sharing in cognitive radio networks toward 5G: a survey
Hu, F., Chen, B., & Zhu, K. (2018) · IEEE Access · doi:10.1109/access.2018.2802450 · Cited by 321
Vehicular Communications: A Physical Layer Perspective
Liang, L., Peng, H., Li, G. Y., & Shen, X. (2017) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2017.2750903 · Cited by 267
Metadata
- Authors
- Ding, Z., Adachi, F., & Poor, H. V.
- Venue
- IEEE Transactions on Wireless Communications
- Published
- 2016-01
- Volume
- 15
- Issue
- 1
- Pages
- 537-552
- ISSN
- 1536-1276 (ISSN-L)
- OpenAlex
- W1690504809
- Cited by
- 894
- References
- 20
- FWCI
- 46.35
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
