The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Rate splitting for MIMO wireless networks: a promising PHY-layer strategy for LTE evolution
Open accessAbstract
MIMO processing plays a central part in the recent increase in spectral and energy efficiencies of wireless networks. MIMO has grown beyond the original point-to-point channel and nowadays refers to a diverse range of centralized and distributed deployments. The fundamental bottleneck toward enormous spectral and energy efficiency benefits in multiuser MIMO networks lies in a huge demand for accurate CSIT. This has become increasingly difficult to satisfy due to the increasing number of antennas and access points in next generation wireless networks relying on dense heterogeneous networks and transmitters equipped with a large number of antennas. CSIT inaccuracy results in a multi-user interference problem that is the primary bottleneck of MIMO wireless networks. Looking backward, the problem has been to strive to apply techniques designed for perfect CSIT to scenarios with imperfect CSIT. In this article, we depart from this conventional approach and introduce readers to a promising strategy based on rate-splitting. Rate-splitting relies on the transmission of common and private messages, and is shown to provide significant benefits in terms of spectral and energy efficiencies, reliability, and CSI feedback overhead reduction over conventional strategies used in LTE-A and exclusively relying on private message transmissions. Open problems, the impact on standard specifications, and operational challenges are also discussed.
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Cites
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Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design
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Joudeh, H., & Clerckx, B. (2016) · IEEE Transactions on Communications · doi:10.1109/tcomm.2016.2603991 · Cited by 432
Self-citationRobust Transmission in Downlink Multiuser MISO Systems: A Rate-Splitting Approach
Joudeh, H., & Clerckx, B. (2016) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2016.2591501 · Cited by 220
Self-citationRecent trend of multiuser MIMO in LTE-advanced
Lim, C., Yoo, T., Clerckx, B., Lee, B., & Shim, B. (2013) · IEEE Communications Magazine · doi:10.1109/mcom.2013.6476877 · Cited by 173
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Research works printed but not linked: 8
- dai, 2015, A Rate Splitting Strategy for Massive MIMO with Imperfect CSIT, IEEE Trans Wireless Commun arXiv 1512 07221
- yi, 0, On the DoF of the Multiple-Antenna Time Correlated Interference Channel with Delaved CSIT, Proc IEEE Asilomar 2012
- hao, 2016, MISO Networks with Imperfect CSIT: A Topological Rate Splitting Approach, arXiv 1602 03768
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Cited by
Edge artificial intelligence for 6g: vision, enabling technologies, and applications
Letaief, K. B., Shi, Y., Lu, J., & Lu, J. (2022) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2021.3126076 · Cited by 829
“The rate splitting method is also anticipated to be able to further improve the energy-efficiency for edge server cooperative inference by partially decoding the inference result and partially treating it as noise in a flexible way [228].”
MethodA 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
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Metadata
- Authors
- Clerckx, B., Joudeh, H., Hao, C., Dai, M., & Rassouli, B.
- Venue
- IEEE Communications Magazine
- Published
- 2016-05
- Volume
- 54
- Issue
- 5
- Pages
- 98-105
- ISSN
- 0163-6804 (ISSN-L)
- OpenAlex
- W2288501207
- Cited by
- 435
- References
- 6
- FWCI
- 8.69
- Type
- journal article
- Language
- en
- Open access
- green
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