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20142026
most citedInteger Forcing-and-Forward Transceiver Design for MIMO Multi-Pair Two-Way Relaying

10 citations · 12 across the 27 of their papers we have counts for

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24 papers · 1 filter

cs.IT2026

Pilot-Projected Nonlinear Self-Interference Estimation with Simultaneous Uplink Training

Seyed Mohammad Azimi-Abarghouyi, Thomas Eriksson

This paper considers nonlinear digital self-interference (SI) cancellation and uplink-channel estimation for single-antenna in-band full-duplex radios when a desired uplink pilot i…

cs.IT2026

Occupancy-Domain Over-the-Air Computation

Seyed Mohammad Azimi-Abarghouyi

Over-the-air computation (AirComp) aggregates distributed data through the wireless multiple-access channel, but coherent implementations require channel state information (CSI), p…

cs.IT2026

FullPASS: Geometry Optimization for Full-Duplex Pinching-Antenna Systems

Morteza Barzegar Astanjin, Seyed Mohammad Azimi-Abarghouyi, Thomas Eriksson +1

This paper proposes FullPASS, an in-band full-duplex architecture for pinching-antenna systems (PASSs) based on two parallel waveguides. The FullPASS transceiver simultaneously com…

cs.IT2026

AirPASS: Over-the-Air Federated Learning via Pinching Antenna Systems

Seyed Mohammad Azimi-Abarghouyi, Christopher G. Brinton

This paper investigates over-the-air federated learning (AirFL) in wireless systems where the access point is equipped with a multi-waveguide pinching antenna system (PASS). We ado…

cs.IT2026

Out-of-Air Computation: Enabling Structured Function Extraction from Wireless Superposition

Seyed Mohammad Azimi-Abarghouyi

Over-the-air computation (AirComp) broadly exploits the superposition property of wireless multiple-access channels (MACs) to compute functions of distributed data. Within this bro…

cs.IT2025

Over-the-Air Federated Learning: Rethinking Edge AI Through Signal Processing

Seyed Mohammad Azimi-Abarghouyi, Carlo Fischione, Kaibin Huang

Over-the-Air Federated Learning (AirFL) is an emerging paradigm that tightly integrates wireless signal processing and distributed machine learning to enable scalable AI at the net…

cs.IT2024

Over-the-Air Federated Learning via Weighted Aggregation

Seyed Mohammad Azimi-Abarghouyi, Leandros Tassiulas

This paper introduces a new federated learning scheme that leverages over-the-air computation. A novel feature of this scheme is the proposal to employ adaptive weights during aggr…

cs.IT2024

Compute-Update Federated Learning: A Lattice Coding Approach Over-the-Air

Seyed Mohammad Azimi-Abarghouyi, Lav R. Varshney

This paper introduces a federated learning framework that enables over-the-air computation via digital communications, using a new joint source-channel coding scheme. Without relyi…

cs.IT2024

Federated Learning via Lattice Joint Source-Channel Coding

Seyed Mohammad Azimi-Abarghouyi, Lav R. Varshney

This paper introduces a universal federated learning framework that enables over-the-air computation via digital communications, using a new joint source-channel coding scheme. Wit…

cs.IT2024

Hierarchical Over-the-Air Federated Learning with Awareness of Interference and Data Heterogeneity

Seyed Mohammad Azimi-Abarghouyi, Viktoria Fodor

When implementing hierarchical federated learning over wireless networks, scalability assurance and the ability to handle both interference and device data heterogeneity are crucia…

cs.IT2022

A Tractable Probability Distribution with Applications in Three-Dimensional Statistics

Seyed Mohammad Azimi-Abarghouyi

This paper introduces and characterizes a new family of continuous probability distributions applicable to norm distributions in three-dimensional random spaces, specifically for t…

cs.IT2022★ 1 cited

Scalable Hierarchical Over-the-Air Federated Learning

Seyed Mohammad Azimi-Abarghouyi, Viktoria Fodor

When implementing hierarchical federated learning over wireless networks, scalability assurance and the ability to handle both interference and device data heterogeneity are crucia…

cs.IT2022

Matern Cluster Process with Holes at the Cluster Centers

Seyed Mohammad Azimi-Abarghouyi, Harpreet S. Dhillon

Inspired by recent applications of point processes to biological nanonetworks, this paper presents a novel variant of a Matérn cluster process (MCP) in which the points located wit…

cs.IT2022

Fundamentals of Clustered Molecular Nanonetworks

Seyed Mohammad Azimi-Abarghouyi, Harpreet S. Dhillon, Leandros Tassiulas

We present a comprehensive approach to the modeling, performance analysis, and design of clustered molecular nanonetworks in which nano-machines of different clusters release an ap…

cs.IT2019

Stochastic Design and Analysis of Wireless Cloud Caching Networks

Seyed Mohammad Azimi-Abarghouyi, Masoumeh Nasiri-Kenari, Merouane Debbah

This paper develops a stochastic geometry-based approach for the modeling, analysis, and optimization of wireless cloud caching networks comprised of multiple-antenna radio units (…

cs.IT2018

Outage Probability Analysis of Uplink NOMA over Ultra-High-Speed FSO-Backhauled Systems

Mohammad Vahid Jamali, Seyed Mohammad Azimi-Abarghouyi, Hessam Mahdavifar

In this paper, we consider a relay-assisted uplink non-orthogonal multiple access (NOMA) system where two radio frequency (RF) users are grouped for simultaneous transmission, over…

cs.IT2018

Stochastic Geometry Modeling and Analysis of Finite Millimeter Wave Wireless Networks

Seyed Mohammad Azimi-Abarghouyi, Behrooz Makki, Masoumeh Nasiri-Kenari +1

This paper develops a stochastic geometry-based approach for the modeling and analysis of finite millimeter wave (mmWave) wireless networks where a random number of transmitters an…

cs.IT2018

Asynchronous Downlink Massive MIMO Networks: A Stochastic Geometry Approach

Elahe Sadeghabadi, Seyed Mohammad Azimi-Abarghouyi, Behrooz Makki +1

Massive multiple-input multiple-output (MIMO) is recognized as a promising technology for the next generation of wireless networks because of its potential to increase the spectral…

cs.IT2017

Stochastic Geometry Modeling and Analysis of Single- and Multi-Cluster Wireless Networks

Seyed Mohammad Azimi-Abarghouyi, Behrooz Makki, Martin Haenggi +2

This paper develops a stochastic geometry-based approach for the modeling and analysis of single- and multi-cluster wireless networks. We first define finite homogeneous Poisson po…

cs.IT2017

Integer-Forcing Message Recovering in Interference Channels

Seyed Mohammad Azimi-Abarghouyi, Mohsen Hejazi, Behrooz Makki +2

In this paper, we propose a scheme referred to as integer-forcing message recovering (IFMR) to enable receivers to recover their desirable messages in interference channels. Compar…

cs.IT2016

Robust Successive Compute-and-Forward over Multi-User Multi-Relay Networks

Mohsen Hejazi, Seyed Mohammad Azimi-Abarghouyi, Behrooz Makki +2

This paper develops efficient Compute-and-forward (CMF) schemes in multi-user multi-relay networks. To solve the rank failure problem in CMF setups and to achieve full diversity of…

cs.IT2014★ 10 cited

Integer Forcing-and-Forward Transceiver Design for MIMO Multi-Pair Two-Way Relaying

Seyed Mohammad Azimi-Abarghouyi, Masoumeh Nasiri-Kenari, Behrouz Maham

In this paper, we propose a new transmission scheme, named as Integer Forcing-and-Forward (IFF), for communications among multi-pair multiple-antenna users in which each pair excha…

cs.IT2014

Compute-and-Forward Two-Way Relaying

Seyed Mohammad Azimi-Abarghouyi, Mohsen Hejazi, Masoumeh Nasiri-Kenari

In this paper, a new two-way relaying scheme based on compute-and-forward (CMF) framework and relay selection strategies is proposed, which provides a higher throughput than the co…

cs.IT2014

Distributed Compute-and-Forward Based Relaying Strategies in Multi-User Multi-Relay Networks

Seyed Mohammad Azimi-Abarghouyi, Mohsen Hejazi, Masoumeh Nasiri-Kenari

In this paper, we propose different practical distributed schemes to solve the rank failure problem in the compute and forward (CMF)-based multi-user multi-relay networks without c…