activity
20192023
collaborators

6 papers

eess.SP2023

Modeling and Analysis of OFDM-based 5G/6G Localization under Hardware Impairments

Hui Chen, Musa Furkan Keskin, Sina Rezaei Aghdam +6

Localization is envisioned as a key enabler to satisfy the requirements of communication and context-aware services in the fifth/sixth generation (5G/6G) communication systems. Use…

eess.SP2022

MCRB-based Performance Analysis of 6G Localization under Hardware Impairments

Hui Chen, Sina Rezaei Aghdam, Musa Furkan Keskin +6

Location information is expected to be the key to meeting the needs of communication and context-aware services in 6G systems. User localization is achieved based on delay and/or a…

cs.IT2021

Privacy-Preserving Wireless Federated Learning Exploiting Inherent Hardware Impairments

Sina Rezaei Aghdam, Ehsan Amid, Marija Furdek +1

We consider a wireless federated learning system where multiple data holder edge devices collaborate to train a global model via sharing their parameter updates with an honest-but-…

cs.IT2020

Distortion-Aware Linear Precoding for Massive MIMO Downlink Systems with Nonlinear Power Amplifiers

Sina Rezaei Aghdam, Sven Jacobsson, Ulf Gustavsson +3

We introduce a framework for linear precoder design over a massive multiple-input multiple-output downlink system in the presence of nonlinear power amplifiers (PAs). By studying t…

cs.LG2020

Learning End-to-End Codes for the BPSK-constrained Gaussian Wiretap Channel

Alireza Nooraiepour, Sina Rezaei Aghdam

Finite-length codes are learned for the Gaussian wiretap channel in an end-to-end manner assuming that the communication parties are equipped with deep neural networks (DNNs), and…

eess.SP2019

Distortion-Aware Linear Precoding for Millimeter-Wave Multiuser MISO Downlink

Sina Rezaei Aghdam, Sven Jacobsson, Thomas Eriksson

In this work, we propose an iterative scheme for computing a linear precoder that takes into account the impact of hardware impairments in the multiuser multiple-input single-outpu…