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Computational Framework for Optimal Robust Beamforming in Coordinated Multicell Systems
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-3599-5584
Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg.
2011 (English)In: Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), IEEE Signal Processing Society, 2011, 245-248 p.Conference paper, Published paper (Refereed)
Abstract [en]

Coordinated beamforming can significantly improvethe performance of cellular systems through joint interferencemanagement. Unfortunately, such beamforming optimization problems are typically NP-hard in multicell scenarios, making heuristic beamforming the only feasible choice in practice. Thispaper proposes a new branch-reduce-and-bound algorithm thatsolves such optimization problems globally, with a complexitysuitable for benchmarking and analysis. Compared to priorwork, the framework handles robustness to uncertain intercell interference and numerical analysis shows higher efficiency.

Place, publisher, year, edition, pages
IEEE Signal Processing Society, 2011. 245-248 p.
Keyword [en]
Coordinated beamforming, cellular systems, optimization problems, heuristic beamforming, intercell interference
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-62818DOI: 10.1109/CAMSAP.2011.6135994Scopus ID: 2-s2.0-84857155498ISBN: 978-1-4577-2104-5 (print)OAI: oai:DiVA.org:kth-62818DiVA: diva2:481217
Conference
2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing,13-16 Dec. 2011
Note

Best Student Paper Award. QC 20120131

Available from: 2013-02-28 Created: 2012-01-20 Last updated: 2013-02-28Bibliographically approved

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CAMSAP2011(1085 kB)341 downloads
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