Ecole d'ingénieur et centre de recherche en Sciences du numérique

Robust location-aided beam alignment in millimeter wave massive MIMO

Maschietti, Flavio; Gesbert, David; de Kerret, Paul; Wymeersch, Henk

GLOBECOM 2017, IEEE Global Communications Conference, December 4-8, 2017, Singapore, Singapore

Location-aided beam alignment has been proposed recently as a potential approach for fast link establishment in millimeter wave massive MIMO communications. However, due to mobility and other imperfections in the estimation process, the spatial information obtained at the base station and the user is likely to be noisy, degrading beam alignment performance. In this paper, we introduce a robust beam alignment framework in order to exhibit resilience with respect to this problem. We first recast beam alignment as a decentralized coordination problem where BS and UE seek coordination on the basis of correlated yet individual position information. We formulate the optimum beam alignment solution as the solution of a Bayesian team decision problem. We then propose a suite of algorithms to approach optimality with reduced complexity. The effectiveness of the robust beam alignment procedure, compared with classical designs, is then verified on simulation settings with varying location information accuracies.

Document Arxiv Bibtex

Titre:Robust location-aided beam alignment in millimeter wave massive MIMO
Département:Systèmes de Communication
Eurecom ref:5196
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Bibtex: @inproceedings{EURECOM+5196, year = {2017}, title = {{R}obust location-aided beam alignment in millimeter wave massive {MIMO}}, author = {{M}aschietti, {F}lavio and {G}esbert, {D}avid and de {K}erret, {P}aul and {W}ymeersch, {H}enk}, booktitle = {{GLOBECOM} 2017, {IEEE} {G}lobal {C}ommunications {C}onference, {D}ecember 4-8, 2017, {S}ingapore, {S}ingapore }, address = {{S}ingapore, {SINGAPOUR}}, month = {12}, url = {} }
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