3 citations · 7 across the 5 of their papers we have counts for
3 papers · 1 filter
Reducing the Control Overhead of Intelligent Reconfigurable Surfaces Via a Tensor-Based Low-Rank Factorization Approach
Bruno Sokal, Paulo R. B. Gomes, André L. F. de Almeida +2
Passive intelligent reconfigurable surfaces (IRS) are becoming an attractive component of cellular networks due to their ability of shaping the propagation environment and thereby…
Tensor-Based Channel Estimation for RIS-Assisted Networks Operating Under Imperfections
Paulo R. B. Gomes, Gilderlan T. de Araújo, Bruno Sokal +3
Reconfigurable intelligent surface (RIS) is a candidate technology for future wireless networks. It enables to shape the wireless environment to reach massive connectivity and enha…
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…