The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Interplay Between NOMA and Other Emerging Technologies: A Survey
Open accessAbstract
Non-orthogonal multiple access (NOMA) has been widely recognized as a promising way to scale up the number of users, enhance the spectral efficiency, and improve the user-fairness in wireless networks, by allowing more than one user to share one wireless resource. NOMA can be flexibly combined with many existing wireless technologies and emerging ones including multiple-input multiple-output (MIMO), massive MIMO, millimeter wave communications, cognitive and cooperative communications, visible light communications, physical layer security, energy harvesting, wireless caching, and so on. Combination of NOMA with these technologies can further increase scalability, spectral efficiency, energy efficiency, and greenness of future communication networks. This paper provides a comprehensive survey of the interplay between NOMA and the above technologies. The emphasis is on how the above techniques can benefit from NOMA and vice versa. Moreover, challenges and future research directions are identified.
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Cites
Elements of Information Theory
Cover, T. M., & Thomas, J. A. (2005) · doi:10.1002/047174882x · Cited by 13,791
Fundamentals of Wireless Communication
Tse, D., & Viswanath, P. (2005) · doi:10.1017/cbo9780511807213 · Cited by 13,162
Energy Harvesting Wireless Communications: A Review of Recent Advances
Ulukus, S., Yener, A., Erkip, E., Simeone, O., Zorzi, M., Grover, P., & Huang, K. (2015) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2015.2391531 · Cited by 805
Deep Learning in Physical Layer Communications
Qin, Z., Ye, H., Li, G. Y., & Juang, B.-H. F. (2019) · IEEE Wireless Communications · doi:10.1109/mwc.2019.1800601 · Cited by 692
Sparse Representation for Wireless Communications: A Compressive Sensing Approach
Qin, Z., Fan, J., Liu, Y., Gao, Y., & Li, G. Y. (2018) · IEEE Signal Processing Magazine · doi:10.1109/msp.2018.2789521 · Cited by 247
Self-citationDelay Minimization for NOMA-MEC Offloading
Ding, Z., Ng, D. W. K., Schober, R., & Poor, H. V. (2018) · IEEE Signal Processing Letters · doi:10.1109/lsp.2018.2876019 · Cited by 189
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Cited by
On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds
Wang, C.-X., You, X., Gao, X., Zhu, X., Li, Z., Zhang, C., Wang, H., Huang, Y., Chen, Y., Haas, H., et al. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3249835 · Cited by 2,336
Pham, Q.-V., Fang, F., Ha, V. N., Piran, M. J., Le, M., Le, L. B., Hwang, W.-J., & Ding, Z. (2020) · IEEE Access · doi:10.1109/access.2020.3001277 · Cited by 870
Self-citationA Survey of Rate-Optimal Power Domain NOMA With Enabling Technologies of Future Wireless Networks
Maraqa, O., Rajasekaran, A. S., Al-Ahmadi, S., Yanikomeroglu, H., & Sait, S. M. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3013514 · Cited by 406
Non-Orthogonal Multiple Access: Common Myths and Critical Questions
Vaezi, M., Schober, R., Ding, Z., & Poor, H. V. (2019) · IEEE Wireless Communications · doi:10.1109/mwc.2019.1800598 · Cited by 339
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Metadata
- Authors
- Vaezi, M., Aruma Baduge, G. A., Liu, Y., Arafa, A., Fang, F., & Ding, Z.
- Venue
- IEEE Transactions on Cognitive Communications and Networking
- Published
- 2019-12
- Volume
- 5
- Issue
- 4
- Pages
- 900-919
- ISSN
- 2332-7731 (ISSN-L)
- 2372-2045
- OpenAlex
- W2968223228
- Cited by
- 252
- References
- 6
- FWCI
- 12.78
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Vaezi, M., Aruma Baduge, G. A., Liu, Y., Arafa, A., Fang, F., & Ding, Z. (2019). Interplay Between NOMA and Other Emerging Technologies: A Survey. IEEE Transactions on Cognitive Communications and Networking. https://doi.org/10.1109/tccn.2019.2933835
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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