The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Iterative multiuser uplink and downlink beamforming under SINR constraints
Abstract
We study the problem of power efficient multiuser beamforming transmission for both uplink and downlink. The base station is equipped with multiple antennas, whereas the mobile units have single antennas. In the uplink, interference is canceled by successive decoding. In the downlink, ideal "dirty paper" precoding is assumed. The design goal is to minimize the total transmit power while maintaining individual SINR constraints. In the uplink, the optimization problem is solved by a recursive formula with low computational complexity. The downlink problem is solved by exploiting the duality between uplink and downlink; thus, the uplink solution carries over to the downlink. In the second part of the paper, we show how the solution can be applied to the problem of rate balancing in Gaussian multiuser channels. We propose a strategy for throughput-wise optimal transmission for broadcast and multiple access channels under a sum power constraint. Finally, we show that single-user transmission achieves the sum capacity in the low-SNR regime. We completely characterize the SNR-range where single-user transmission is optimal.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Matrix Analysis and Applied Linear Algebra
Meyer, C. (2000) · doi:10.1137/1.9780898719512 · Cited by 3,565
Cited by
An introduction to convex optimization for communications and signal processing
Luo, Z.-Q., & Yu, W. (2006) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2006.879347 · Cited by 562
Rank-Constrained Separable Semidefinite Programming With Applications to Optimal Beamforming
Huang, Y., & Palomar, D. P. (2010) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2009.2031732 · Cited by 561
Metadata
- Authors
- Schubert, M., & Boche, H.
- Venue
- IEEE Transactions on Signal Processing
- Published
- 2005-07
- Volume
- 53
- Issue
- 7
- Pages
- 2324-2334
- ISSN
- 1053-587X (ISSN-L)
- 1941-0476
- OpenAlex
- W2099003693
- Cited by
- 205
- References
- 1
- FWCI
- 21.29
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Iterative multiuser uplink and downlink beamforming under SINR constraints. https://app.cochat.ai/papers/10.1109/tsp.2005.849164
- The paper
- Schubert, M., & Boche, H. (2005). Iterative multiuser uplink and downlink beamforming under SINR constraints. IEEE Transactions on Signal Processing. https://doi.org/10.1109/tsp.2005.849164
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.