The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Massive MIMO Has Unlimited Capacity
Open accessAbstract
The capacity of cellular networks can be improved by the unprecedented array gain and spatial multiplexing offered by Massive MIMO. Since its inception, the coherent interference caused by pilot contamination has been believed to create a finite capacity limit, as the number of antennas goes to infinity. In this paper, we prove that this is incorrect and an artifact from using simplistic channel models and suboptimal precoding/combining schemes. We show that with multicell MMSE precoding/combining and a tiny amount of spatial channel correlation or large-scale fading variations over the array, the capacity increases without bound as the number of antennas increases, even under pilot contamination. More precisely, the result holds when the channel covariance matrices of the contaminating users are asymptotically linearly independent, which is generally the case. If also the diagonals of the covariance matrices are linearly independent, it is sufficient to know these diagonals (and not the full covariance matrices) to achieve an unlimited asymptotic capacity.
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Cites
Fundamentals of Statistical Signal Processing: Estimation Theory
Sengijpta, S. K. (1995) · Technometrics · doi:10.1080/00401706.1995.10484391 · Cited by 11,076
Andrews, J. G., Buzzi, S., Choi, W., Hanly, S. V., Lozano, A., Soong, A. C. K., & Zhang, J. C. (2014) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2014.2328098 · Cited by 8,106
Fundamentals of statistical signal processing: Estimation theory
Prasad, K. V. (1994) · Control Engineering Practice · doi:10.1016/0967-0661(94)90195-3 · Cited by 7,902
Massive MIMO for next generation wireless systems
Larsson, E. G., Edfors, O., Tufvesson, F., & Marzetta, T. L. (2014) · IEEE Communications Magazine · doi:10.1109/mcom.2014.6736761 · Cited by 6,779
Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas
Marzetta, T. L. (2010) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2010.092810.091092 · Cited by 6,302
Inequalities: Theory of Majorization and Its Applications
Marshall, A. W., Olkin, I., & Arnold, B. C. (2011) · Springer Series in Statistics · doi:10.1007/978-0-387-68276-1 · Cited by 2,567
Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need?
Hoydis, J., ten Brink, S., & Debbah, M. (2013) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2013.130205 · Cited by 2,361
Self-citationMarzetta, T. L., Larsson, E. G., Yang, H., & Ngo, H. Q. (2016) · Cambridge University Press eBooks · doi:10.1017/cbo9781316799895 · Cited by 1,718
Joint Spatial Division and Multiplexing—The Large-Scale Array Regime
Adhikary, A., Nam, J., Ahn, J.-Y., & Caire, G. (2013) · IEEE Transactions on Information Theory · doi:10.1109/tit.2013.2269476 · Cited by 1,317
A Coordinated Approach to Channel Estimation in Large-Scale Multiple-Antenna Systems
Yin, H., Gesbert, D., Filippou, M., & Liu, Y. (2013) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2013.130214 · Cited by 1,164
Cited by
Prospective Multiple Antenna Technologies for Beyond 5G
Zhang, J., Bjornson, E., Matthaiou, M., Ng, D. W. K., Yang, H., & Love, D. J. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3000826 · Cited by 877
Foundations of MIMO Communication
Heath Jr, R. W., & Lozano, A. (2018) · Cambridge University Press eBooks · doi:10.1017/9781139049276 · Cited by 426
Beamforming Technologies for Ultra-Massive MIMO in Terahertz Communications
Ning, B., Tian, Z., Mei, W., Chen, Z., Han, C., Li, S., Yuan, J., & Zhang, R. (2023) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2023.3245669 · Cited by 270
Spatially-Stationary Model for Holographic MIMO Small-Scale Fading
Pizzo, A., Marzetta, T. L., & Sanguinetti, L. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3000877 · Cited by 263
Self-citationUser Association and Load Balancing for Massive MIMO through Deep Learning
Zappone, A., Sanguinetti, L., & Debbah, M. (2018) · 2018 52nd Asilomar Conference on Signals, Systems, and Computers · doi:10.1109/acssc.2018.8645483 · Cited by 48
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Metadata
- Authors
- Bjornson, E., Hoydis, J., & Sanguinetti, L.
- Venue
- IEEE Transactions on Wireless Communications
- Published
- 2018-01
- Volume
- 17
- Issue
- 1
- Pages
- 574-590
- ISSN
- 1536-1276 (ISSN-L)
- OpenAlex
- W2610968021
- Cited by
- 474
- References
- 28
- FWCI
- 24.95
- Type
- journal article
- Language
- en
- Open access
- green
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