The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Nonorthogonal Multiple Access for 5G and Beyond
Open accessAbstract
Driven by the rapid escalation of the wireless capacity requirements imposed by advanced multimedia applications (e.g., ultrahigh-definition video, virtual reality, etc.), as well as the dramatically increasing demand for user access required for the Internet of Things (IoT), the fifth-generation (5G) networks face challenges in terms of supporting large-scale heterogeneous data traffic. Nonorthogonal multiple access (NOMA), which has been recently proposed for the third-generation partnership projects long-term evolution advanced (3GPP-LTE-A), constitutes a promising technology of addressing the aforementioned challenges in 5G networks by accommodating several users within the same orthogonal resource block. By doing so, significant bandwidth efficiency enhancement can be attained over conventional orthogonal multiple-access (OMA) techniques. This motivated numerous researchers to dedicate substantial research contributions to this field. In this context, we provide a comprehensive overview of the state of the art in power-domain multiplexing-aided NOMA, with a focus on the theoretical NOMA principles, multiple-antenna-aided NOMA design, on the interplay between NOMA and cooperative transmission, on the resource control of NOMA, on the coexistence of NOMA with other emerging potential 5G techniques and on the comparison with other NOMA variants. We highlight the main advantages of power-domain multiplexing NOMA compared to other existing NOMA techniques. We summarize the challenges of existing research contributions of NOMA and provide potential solutions. Finally, we offer some design guidelines for NOMA systems and identify promising research opportunities for the future.
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Boyd, S., & Vandenberghe, L. (2004) · doi:10.1017/cbo9780511804441 · Cited by 56,601
Fundamentals of Wireless Communication
Tse, D., & Viswanath, P. (2005) · doi:10.1017/cbo9780511807213 · Cited by 13,162
Cited by
Noor-A-Rahim, M., Liu, Z., Lee, H., Khyam, M. O., He, J., Pesch, D., Moessner, K., Saad, W., & Poor, H. V. (2022) · Proceedings of the IEEE · doi:10.1109/jproc.2022.3173031 · Cited by 737
Massive Access for 5G and Beyond
Chen, X., Ng, D. W. K., Yu, W., Larsson, E. G., Al-Dhahir, N., & Schober, R. (2021) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3019724 · Cited by 681
Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks
Wang, J., Jiang, C., Zhang, H., Ren, Y., Chen, K.-C., & Hanzo, L. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2965856 · Cited by 486
Self-citationA Primer on Rate-Splitting Multiple Access: Tutorial, Myths, and Frequently Asked Questions
Clerckx, B., Mao, Y., Jorswieck, E. A., Yuan, J., Love, D. J., Erkip, E., & Niyato, D. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2023.3242718 · Cited by 412
Resource Allocation in Intelligent Reflecting Surface Assisted NOMA Systems
Zuo, J., Liu, Y., Qin, Z., & Al-Dhahir, N. (2020) · IEEE Transactions on Communications · doi:10.1109/tcomm.2020.3016742 · Cited by 259
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Metadata
- Authors
- Liu, Y., Qin, Z., Elkashlan, M., Ding, Z., Nallanathan, A., & Hanzo, L.
- Venue
- Proceedings of the IEEE
- Published
- 2017-12
- Volume
- 105
- Issue
- 12
- Pages
- 2347-2381
- ISSN
- 0018-9219 (ISSN-L)
- 1558-2256
- OpenAlex
- W2769456309
- Cited by
- 1,369
- References
- 2
- FWCI
- 53.59
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Liu, Y., Qin, Z., Elkashlan, M., Ding, Z., Nallanathan, A., & Hanzo, L. (2017). Nonorthogonal Multiple Access for 5G and Beyond. Proceedings of the IEEE. https://doi.org/10.1109/jproc.2017.2768666
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