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Bruno Sokal

1 paper here

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  • first author1

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  • eess.SP1
same name
  • Bruno Sokal — 2 papers

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collaborators

1 paper

eess.SP2022

IRS Phase-Shift Feedback Overhead-Aware Model Based on Rank-One Tensor Approximation

Bruno Sokal, Paulo R. B. Gomes, André L. F. de Almeida +2

In this paper, we propose a rank-one tensor modeling approach that yields a compact representation of the optimum IRS phase-shift vector for reducing the feedback overhead. The mai…

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