Computational Framework for Optimal Robust Beamforming in Coordinated Multicell Systems
2011 (English)In: Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), IEEE Signal Processing Society, 2011, 245-248 p.Conference paper (Refereed)
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.
Coordinated beamforming, cellular systems, optimization problems, heuristic beamforming, intercell interference
IdentifiersURN: urn:nbn:se:kth:diva-62818DOI: 10.1109/CAMSAP.2011.6135994ScopusID: 2-s2.0-84857155498ISBN: 978-1-4577-2104-5OAI: oai:DiVA.org:kth-62818DiVA: diva2:481217
2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing,13-16 Dec. 2011
Best Student Paper Award. QC 201201312013-02-282012-01-202013-02-28Bibliographically approved