The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Shifting the MIMO Paradigm
Abstract
Multi-user MIMO (MU-MIMO) networks reveal the unique opportunities arising from a joint optimization of antenna combining techniques with resource allocation protocols. Furthermore, it brings robustness with respect to multipath richness, allowing for compact antenna spacing at the BS and, crucially, yielding the diversity and multiplexing gains without the need for multiple antenna user terminals. To realize these gains, however, the BS should be informed with the user's channel coefficients, which may limit practical application to TDD or low-mobility settings. To circumvent this problem and reduce feedback load, combining MU-MIMO with opportunistic scheduling seems a promising direction. The success for this type of scheduler is strongly traffic and QoS-dependent, however.
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Citations
Cites
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
On the achievable throughput of a multiantenna Gaussian broadcast channel
Caire, G., & Shamai, S. (2003) · IEEE Transactions on Information Theory · doi:10.1109/tit.2003.813523 · Cited by 2,527
Capacity limits of MIMO channels
Goldsmith, A., Jafar, S. A., Jindal, N., & Vishwanath, S. (2003) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2003.810294 · Cited by 2,379
Information capacity and power control in single-cell multiuser communications
Knopp, R., & Humblet, P. A. (2002) · Proceedings IEEE International Conference on Communications ICC '95 · doi:10.1109/icc.1995.525188 · Cited by 2,059
On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming
Taesa, & Goldsmith, A. (2006) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2005.862421 · Cited by 2,057
Peel, C. B., Hochwald, B. M., & Swindlehurst, A. L. (2005) · IEEE Transactions on Communications · doi:10.1109/tcomm.2004.840638 · Cited by 1,721
The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel
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Sum capacity of the vector Gaussian broadcast channel and uplink–downlink duality
Viswanath, P., & Tse, D. N. C. (2003) · IEEE Transactions on Information Theory · doi:10.1109/tit.2003.814483 · Cited by 1,290
Solution of the Multiuser Downlink Beamforming Problem With Individual SINR Constraints
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Nested linear/lattice codes for structured multiterminal binning
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Cited by
Energy and spectral efficiency of very large multiuser MIMO systems
Ngo, H. Q., Larsson, E. G., & Marzetta, T. L. (2013) · IEEE Transactions on Communications · doi:10.1109/tcomm.2013.020413.110848 · Cited by 3,173
A Survey on Multiple-Antenna Techniques for Physical Layer Security
Chen, X., Ng, D. W. K., Gerstacker, W. H., & Chen, H.-H. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2633387 · Cited by 474
MIMO Over-the-Air Computation for High-Mobility Multimodal Sensing
Zhu, G., & Huang, K. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2871070 · Cited by 273
Metadata
- Authors
- Gesbert, D., Kountouris, M., Heath, R. W., Chae, C.-B., & Salzer, T.
- Venue
- IEEE Signal Processing Magazine
- Published
- 2007-09
- Volume
- 24
- Issue
- 5
- Pages
- 36-46
- ISSN
- 1053-5888 (ISSN-L)
- OpenAlex
- W2164664877
- Cited by
- 1,083
- References
- 14
- FWCI
- 57.96
- Type
- journal article
- Language
- en
- Open access
- closed
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- Gesbert, D., Kountouris, M., Heath, R. W., Chae, C.-B., & Salzer, T. (2007). Shifting the MIMO Paradigm. IEEE Signal Processing Magazine. https://doi.org/10.1109/msp.2007.904815
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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.
