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Cited by 996

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Coordinated multipoint: Concepts, performance, and field trial results

Open access
Irmer, Ralf, Droste, Heinz, Marsch, Patrick, Grieger, Michael, Fettweis, Gerhard, Brueck, Stefan, Mayer, Hans-Peter, Thiele, Lars, Jungnickel, Volker·2011·IEEE Communications Magazine

Abstract

Coordinated multipoint or cooperative MIMO is one of the promising concepts to improve cell edge user data rate and spectral efficiency beyond what is possible with MIMOOFDM in the first versions of LTE or WiMAX. Interference can be exploited or mitigated by cooperation between sectors or different sites. Significant gains can be shown for both the uplink and downlink. A range of technical challenges were identified and partially addressed, such as backhaul traffic, synchronization and feedback design. This article also shows the principal feasibility of COMP in two field testbeds with multiple sites and different backhaul solutions between the sites. These activities have been carried out by a powerful consortium consisting of universities, chip manufacturers, equipment vendors, and network operators.

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Metadata

Authors
Irmer, R., Droste, H., Marsch, P., Grieger, M., Fettweis, G., Brueck, S., Mayer, H.-P., Thiele, L., & Jungnickel, V.
Venue
IEEE Communications Magazine
Published
2011-02
Volume
49
Issue
2
Pages
102-111
ISSN
  • 0163-6804 (ISSN-L)
  • 1558-1896
OpenAlex
W2162636480
Cited by
996
References
0
FWCI
74.20
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Coordinated multipoint: Concepts, performance, and field trial results. https://app.cochat.ai/papers/10.1109/mcom.2011.5706317
The paper
Irmer, R., Droste, H., Marsch, P., Grieger, M., Fettweis, G., Brueck, S., Mayer, H.-P., Thiele, L., & Jungnickel, V. (2011). Coordinated multipoint: Concepts, performance, and field trial results. IEEE Communications Magazine. https://doi.org/10.1109/mcom.2011.5706317

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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.