6 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…
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…
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…
Testbed Development: An Intelligent O-RAN based Cell-Free MIMO Network
Yi Chu, Mostafa Rahmani, Josh Shackleton +4
Cell-free multiple input multiple output (CF-MIMO) systems improve spectral and energy efficiencies using distributed access points (APs) to provide reliable service across an area…