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Distributed Low-Overhead Schemes for Multi-stream MIMO Interference Channels
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Communication Theory.ORCID iD: 0000-0002-9442-671X
City University of Hong Kong. (Department of Electrical and Electronic Engineering)
KTH, School of Electrical Engineering (EES), Signal Processing.ORCID iD: 0000-0002-3599-5584
KTH, School of Electrical Engineering (EES), Communication Theory.ORCID iD: 0000-0002-7926-5081
2015 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 63, no 7, 1737-1749 p.Article in journal (Refereed) Published
Abstract [en]

Our aim in this work is to propose fully distributed schemes for transmit and receive filter optimization. The novelty of the proposed schemes is that they only require a few forward-backward iterations, thus causing minimal communication overhead. For that purpose, we relax the well-known leakage minimization problem, and then propose two different filter update structures to solve the resulting non-convex problem: though one leads to conventional full-rank filters, the other results in rank-deficient filters, that we exploit to gradually reduce the transmit and receive filter rank, and greatly speed up the convergence. Furthermore, inspired from the decoding of turbo codes, we propose a turbo-like structure to the algorithms, where a separate inner optimization loop is run at each receiver (in addition to the main forward-backward iteration). In that sense, the introduction of this turbo-like structure converts the communication overhead required by conventional methods to computational overhead at each receiver (a cheap resource), allowing us to achieve the desired performance, under a minimal overhead constraint. Finally, we show through comprehensive simulations that both proposed schemes hugely outperform the relevant benchmarks, especially for large system dimensions.

Place, publisher, year, edition, pages
IEEE Signal Processing Society, 2015. Vol. 63, no 7, 1737-1749 p.
Keyword [en]
Distributed algorithms, MIMO Interference Channels, Interference Leakage minimization, Forward-Backward algorithms, Iterative Weight Update, Turbo Optimization
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-160959DOI: 10.1109/TSP.2015.2396005ISI: 000350880900010Scopus ID: 2-s2.0-84924707988OAI: oai:DiVA.org:kth-160959DiVA: diva2:792941
Projects
METIS 2020
Note

QC 20150312

Available from: 2015-03-05 Created: 2015-03-05 Last updated: 2017-12-04Bibliographically approved

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Bengtsson, MatsSkoglund, Mikael

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