The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Spectrum and Energy-Efficient Beamspace MIMO-NOMA for Millimeter-Wave Communications Using Lens Antenna Array
Open accessAbstract
The recent concept of beamspace multiple input multiple output (MIMO) can significantly reduce the number of required radio frequency (RF) chains in millimeter-wave (mmWave) massive MIMO systems without obvious performance loss. However, the fundamental limit of existing beamspace MIMO is that the number of supported users cannot be larger than the number of RF chains at the same time-frequency resources. To break this fundamental limit, in this paper, we propose a new spectrum and energy-efficient mmWave transmission scheme that integrates the concept of non-orthogonal multiple access (NOMA) with beamspace MIMO, i.e., beamspace MIMO-NOMA. By using NOMA in beamspace MIMO systems, the number of supported users can be larger than the number of RF chains at the same time-frequency resources. In particular, the achievable sum rate of the proposed beamspace MIMO-NOMA in a typical mmWave channel model is analyzed, which shows an obvious performance gain compared with the existing beamspace MIMO. Then, a precoding scheme based on the principle of zero forcing is designed to reduce the inter-beam interferences in the beamspace MIMO-NOMA system. Furthermore, to maximize the achievable sum rate, a dynamic power allocation is proposed by solving the joint power optimization problem, which not only includes the intra-beam power optimization, but also considers the inter-beam power optimization. Finally, an iterative optimization algorithm with low complexity is developed to realize the dynamic power allocation. Simulation results show that the proposed beamspace MIMO-NOMA can achieve higher spectrum and energy efficiency compared with the existing beamspace MIMO.
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Cites
Boyd, S., & Vandenberghe, L. (2004) · doi:10.1017/cbo9780511804441 · Cited by 56,601
Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays
Rusek, F., Persson, D., Lau, B. K., Larsson, E. G., Marzetta, T. L., & Tufvesson, F. (2013) · IEEE Signal Processing Magazine · doi:10.1109/msp.2011.2178495 · Cited by 4,654
Scaling up MIMO: Opportunities and challenges with very large arrays
Rusek, F., Persson, D., Lau, B. K., Larsson, E. G., Marzetta, T. L., Edfors, O., Tufvesson, F., Print, P., Rusek, F., Persson, D., et al. (2013) · Cited by 4,089
Zero-Forcing Methods for Downlink Spatial Multiplexing in Multiuser MIMO Channels
Spencer, Q. H., Swindlehurst, A. L., & Haardt, M. (2004) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2003.821107 · Cited by 3,148
Dai, L., Wang, B., Yuan, Y., Han, S., Chih-lin, I., & Wang, Z. (2015) · IEEE Communications Magazine · doi:10.1109/mcom.2015.7263349 · Cited by 2,943
Self-citationPower-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
Non-Orthogonal Multiple Access (NOMA) for Cellular Future Radio Access
Saito, Y., Kishiyama, Y., Benjebbour, A., Nakamura, T., Li, A., & Higuchi, K. (2013) · 2013 IEEE 77th Vehicular Technology Conference (VTC Spring) · doi:10.1109/vtcspring.2013.6692652 · Cited by 2,453
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
Energy-Efficiency of MIMO and Cooperative MIMO Techniques in Sensor Networks
Cui, S., Goldsmith, A. J., & Bahai, A. (2004) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2004.830916 · Cited by 1,599
Impact of User Pairing on 5G Nonorthogonal Multiple-Access Downlink Transmissions
Ding, Z., Fan, P., & Poor, H. V. (2016) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2015.2480766 · Cited by 1,554
Cited by
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
Millimeter Wave Communications for Future Mobile Networks
Xiao, M., Mumtaz, S., Huang, Y., Dai, L., Li, Y., Matthaiou, M., Karagiannidis, G. K., Bjornson, E., Yang, K., I, C.-L., et al. (2017) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2017.2719924 · Cited by 1,122
Self-citationDeep Learning for an Effective Nonorthogonal Multiple Access Scheme
Gui, G., Huang, H., Song, Y., & Sari, H. (2018) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2018.2848294 · Cited by 505
A 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
The Application of Machine Learning in mmWave-NOMA Systems
Cui, J., Ding, Z., & Fan, P. (2018) · 2018 IEEE 87th Vehicular Technology Conference (VTC Spring) · doi:10.1109/vtcspring.2018.8417523 · Cited by 32
Metadata
- Authors
- Wang, B., Dai, L., Wang, Z., Ge, N., & Zhou, S.
- Venue
- IEEE Journal on Selected Areas in Communications
- Published
- 2017-10
- Volume
- 35
- Issue
- 10
- Pages
- 2370-2382
- ISSN
- 0733-8716 (ISSN-L)
- OpenAlex
- W2963634826
- Cited by
- 339
- References
- 37
- FWCI
- 19.47
- Type
- journal article
- Language
- en
- Open access
- green
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- Wang, B., Dai, L., Wang, Z., Ge, N., & Zhou, S. (2017). Spectrum and Energy-Efficient Beamspace MIMO-NOMA for Millimeter-Wave Communications Using Lens Antenna Array. IEEE Journal on Selected Areas in Communications. https://doi.org/10.1109/jsac.2017.2725878
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