The DOI matches its Crossref record.
Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design
Abstract
This paper studies linear transmit filter design for Weighted Sum-Rate (WSR) maximization in the Multiple Input Multiple Output Broadcast Channel (MIMO-BC). The problem of finding the optimal transmit filter is non-convex and intractable to solve using low complexity methods. Motivated by recent results highlighting the relationship between mutual information and Minimum Mean Square Error (MMSE), this paper establishes a relationship between weighted sum-rate and weighted MMSE in the MIMO-BC. The relationship is used to propose two low complexity algorithms for finding a local weighted sum-rate optimum based on alternating optimization. Numerical results studying sum-rate show that the proposed algorithms achieve high performance with few iterations.
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
Cited by
Shi, Q., Razaviyayn, M., Luo, Z.-Q., & He, C. (2011) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2011.2147784 · Cited by 2,129
Shi, Q., Razaviyayn, M., Luo, Z.-Q., & He, C. (2011) · 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · doi:10.1109/icassp.2011.5946304 · Cited by 873
Rate splitting for MIMO wireless networks: a promising PHY-layer strategy for LTE evolution
Clerckx, B., Joudeh, H., Hao, C., Dai, M., & Rassouli, B. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.7470942 · Cited by 435
Joudeh, H., & Clerckx, B. (2016) · IEEE Transactions on Communications · doi:10.1109/tcomm.2016.2603991 · Cited by 432
Foundations of MIMO Communication
Heath Jr, R. W., & Lozano, A. (2018) · Cambridge University Press eBooks · doi:10.1017/9781139049276 · Cited by 426
Metadata
- Authors
- Christensen, S. S., Agarwal, R., De Carvalho, E., & Cioffi, J. M.
- Venue
- IEEE Transactions on Wireless Communications
- Published
- 2008-12
- Volume
- 7
- Issue
- 12
- Pages
- 4792-4799
- ISSN
- 1536-1276 (ISSN-L)
- 1558-2248
- OpenAlex
- W2163762663
- Cited by
- 1,014
- References
- 0
- FWCI
- 15.24
- 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: Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design. https://app.cochat.ai/papers/10.1109/t-wc.2008.070851
- The paper
- Christensen, S. S., Agarwal, R., De Carvalho, E., & Cioffi, J. M. (2008). Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design. IEEE Transactions on Wireless Communications. https://doi.org/10.1109/t-wc.2008.070851
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.