3 citations · 5 across the 13 of their papers we have counts for
14 papers
Downlink Beamforming Design for NOMA Using Convolutional Neural Networks
Chentong Li, Saeed Mohammadzadeh, Kanapathippillai Cumanan +1
Non-orthogonal multiple access (NOMA) and beamforming are well-established techniques for enabling massive connectivity in future wireless networks. However, many optimal beamformi…
A Spatial Similarity-Guided Pilot Assignment and Access Point Selection for Cell-Free Massive MIMO Networks
Saeed Mohammadzadeh, Kanapathippillai Cumanan, Pei Liu +1
This paper investigates pilot assignment and access point (AP) selection strategies for uplink cell-free massive multiple-input multiple-output (CF-mMIMO) systems. We propose chann…
Channel-Correlation-Based Access Point Selection and Pilot Power Allocation for Cell-Free Massive MIMO
Saeed Mohammadzadeh, Rodrigo C. De Lamare, Kanapathippillai Cumanan +1
This paper proposes a dynamic access point (AP) selection and pilot power allocation (DAPPA) framework for uplink cell-free massive multiple-input multiple-output (CFmMIMO) systems…
Study of Robust Power Allocation for User-Centric Cell-Free Massive MIMO Networks
Saeed Mashdour, Saeed Mohammadzadeh, André R. Flores +3
In cell-free massive multiple-input multiple-output (MIMO) networks, robust resource allocation is critical to ensure reliable system performance in the presence of channel uncerta…
NOMA Assisted Downlink Power Allocation in Pinching Antenna Systems Using Convolutional Neural Network
Saeed Mohammadzadeh, Kanapathippillai Cumanan, Zhiguo Ding
In this paper, we consider a flexible-antenna architecture, referred to as a pinching-antenna (PA) system, in which multiple PAs realized by activating small dielectric particles a…
Covariance Matrix Construction with Preprocessing-Based Spatial Sampling for Robust Adaptive Beamforming
Saeed Mohammadzadeh, Rodrigo C. de Lamare, Yuriy Zakharov
This work proposes an efficient, robust adaptive beamforming technique to deal with steering vector (SV) estimation mismatches and data covariance matrix reconstruction problems. I…
Study of AP Association and Users and Power Allocation for Cell-Free Massive MIMO Systems
S. Mohammadzadeh, S. Mashdour, R. C. de Lamare +2
This paper introduces an access point-user (AP-UE) association strategy combined with pilot power allocation to mitigate multiuser interference and enhance spectral efficiency (SE)…
Efficient Robust Adaptive Beamforming Based on Spatial Sampling with Virtual Sensors
S. Mohammedzadeh, R. de Lamare
Robust adaptive beamforming (RAB) based on interference-plus-noise covariance (IPNC) matrix reconstruction can experience serious performance degradation in the presence of look di…
Pilot and Data Power Control for Uplink Cell-free massive MIMO
Saeed Mohammadzadeh, Mostafa Rahmani, Kanapathippillai Cumanan +2
This paper introduces a novel iterative algorithm for optimizing pilot and data power control (PC) in cell-free massive multiple-input multiple-output (CF-mMIMO) systems, aiming to…
Study of Robust Adaptive Beamforming Algorithms Based on Power Method Processing and Spatial Spectrum Matching
S. Mohammadzadeh, V. H. Nascimento, R. C. de Lamare +1
Robust adaptive beamforming (RAB) based on interference-plus-noise covariance (INC) matrix reconstruction can experience performance degradation when model mismatch errors exist, p…
Efficient Covariance Matrix Reconstruction with Iterative Spatial Spectrum Sampling
S. Mohammadzadeh, V. H. Nascimento, R. C. de Lamare +1
This work presents a cost-effective technique for designing robust adaptive beamforming algorithms based on efficient covariance matrix reconstruction with iterative spatial power…
Study of Robust Adaptive Beamforming with Covariance Matrix Reconstruction Based on Power Spectral Estimation and Uncertainty Region
S. Mohammadzadeh, V. H. Nascimento, R. C. de Lamare +1
In this work, a simple and effective robust adaptive beamforming technique is proposed for uniform linear arrays, which is based on the power spectral estimation and uncertainty re…
Study of Robust Adaptive Beamforming Based on Low-Complexity DFT Spatial Sampling
Saeed Mohammadzadeh, Vitor H. Nascimento, Rodrigo C. de Lamare +1
In this paper, a novel and robust algorithm is proposed for adaptive beamforming based on the idea of reconstructing the autocorrelation sequence (ACS) of a random process from a s…
Low-Cost Maximum Entropy Covariance Matrix Reconstruction Algorithm for Robust Adaptive Beamforming
S. Mohammadzadeh, V. H. Nascimento, R. C. de Lamare
In this letter, we present a novel low-complexity adaptive beamforming technique using a stochastic gradient algorithm to avoid matrix inversions. The proposed method exploits algo…