Search Results for author: Fazal-E-Asim

Found 7 papers, 0 papers with code

Interference mitigation with block diagonalization for IRS-aided MU-MIMO communications

no code implementations29 Jun 2023 Wilker de O. Feitosa, Igor M. Guerreiro, Fco. Rodrigo P. Cavalcanti, Tarcisio F. Maciel, Maria Clara R. Lobão, Fazal-E-Asim, Behrooz Makki, Gábor Fodor

This work investigates interference mitigation techniques in multi-user multiple input multiple output (MU-MIMO) Intelligent Reflecting Surface (IRS)-aided networks, focusing on the base station end.

Tensor-based modeling/estimation of static channels in IRS-assisted MIMO systems

no code implementations21 Jun 2023 Kenneth B. A. Benício, André L. F. de Almeida, Bruno Sokal, Fazal-E-Asim, Behrooz Makki, Gabor Fodor

This paper proposes a tensor-based parametric modeling and estimation framework in multiple-input multiple-output (MIMO) systems assisted by intelligent reflecting surfaces (IRSs).

Tensor-Based Channel Estimation and Data-Aided Tracking in IRS-Assisted MIMO Systems

no code implementations17 May 2023 Kenneth B. A. Benicio, André L. F. de Almeida, Bruno Sokal, Fazal-E-Asim, Behrooz Makki, Gábor Fodor

This letter proposes a model for symbol detection in the uplink of IRS-assisted networks in the presence of channel aging.

Two-Dimensional Channel Parameter Estimation for IRS-Assisted Networks

no code implementations7 May 2023 Fazal-E-Asim, André L. F. de Almeida, Bruno Sokal, Behrooz Makki, Gábor Fodor

The tradeoffs between performance and complexity offered by the proposed methods are discussed and numerically assessed.

Vocal Bursts Valence Prediction

Tensor-Based High-Resolution Channel Estimation for RIS-Assisted Communications

no code implementations12 Apr 2023 Fazal-E-Asim, Bruno Sokal, André L. F. de Almeida, Behrooz Makki, Gábor Fodor

This letter proposes a high-resolution channel estimation for reconfigurable intelligent surface (RIS)-assisted communication networks.

Vocal Bursts Intensity Prediction

Rank-one Detector for Kronecker-Structured Constant Modulus Constellations

no code implementations8 Jan 2020 Fazal-E-Asim, André L. F. de Almeida, Martin Haardt, Charles C. Cavalcante, Josef A. Nossek

To achieve a reliable communication with short data blocks, we propose a novel decoding strategy for Kronecker-structured constant modulus signals that provides low bit error ratios (BERs) especially in the low energy per bit to noise power spectral density ratio $(E_b/N_0)$.

Decoder

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