activity
20142025
most citedPerformance Analysis of Opportunistic Relaying Over Imperfect Non-identical Log-normal Fading Channels

16 citations · 24 across the 11 of their papers we have counts for

collaborators

11 papers

eess.SP2025

Delay Optimization of a Federated Learning-based UAV-aided IoT network

Hossein Mohammadi Firouzjaei, Javad Zeraatkar Moghaddam, Mehrdad Ardebilipour

This paper explores the integration of power splitting(PS) simultaneous wireless information and power transfer (SWIPT) architecture and federated learning (FL) in Internet of Thin…

eess.SP2025

A Novel Energy-aware Design for a D2D Underlaid UAV-Aided Cognitive Radio Network

Hossein Mohammadi Firouzjaei, Javad Zeraatkar Moghaddam, Mehrdad Ardebilipour

This paper investigates the effectiveness of a free disaster response network (free-DRN) and an energy harvesting enabled DRN (EH-enabled DRN) enhanced by cognitive radio (CR) tech…

eess.SP2025★ 3 cited

UAV-Enabled IoT Networks: A SWIPT Energy Harvesting Architecture with Relay Support for Disaster Response

Hossein Mohammadi Firouzjaei, Javad Zeraatkar Moghaddam, Mehrdad Ardebilipour

Due to the wide application of unmanned aerial vehicles (UAVs) as relays to establish Disaster Response Networks (DRNs), an effective model of energy harvesting (EH) and energy con…

cs.IT2024

Wireless Information Surveillance via STAR-RIS

Fatemeh Jafarian, Mehrdad Ardebilipour, Mohammadali Mohammadi +1

We explore the potential of a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) to enhance the performance of wireless surveillance systems.…

eess.SP2023

A Novel Deep Reinforcement Learning-based Approach for Enhancing Spectral Efficiency of IRS-assisted Wireless Systems

Farimehr Zohari, S. M. Mahdi Shahabi, Mehrdad Ardebilipour

This letter investigates an intelligent reflecting surfaces (IRS)-enhanced network from spectral efficiency enhancement point of view for downlink multi-user (MU) multi-input-singl…

cs.IT2022★ 1 cited

Optimization of Spectral Efficiency in Cell-Free massive MIMO Systems Using Deep Neural Networks

Marzieh Arasteh, Narges Yarahmadi Gharaei, Mehrdad Ardebilipour

Cellular communication is a widely used technology in the world where the coverage area is divided into multiple cells. Interference is one of the most important challenges in cell…

cs.IT2022★ 2 cited

Deep Reinforcement Learning in mmW-NOMA: Joint Power Allocation and Hybrid Beamforming

Abbas Akbarpour-Kasgari, Mehrdad Ardebilipour

High demand of data rate in the next generation of wireless communication could be ensured by Non-Orthogonal Multiple Access (NOMA) approach in the millimetre-wave (mmW) frequency…

eess.SP2022★ 2 cited

Joint Power Allocation and Beamformer for mmW-NOMA Downlink Systems by Deep Reinforcement Learning

Abbas Akbarpour-Kasgari, Mehrdad Ardebilipour

The high demand for data rate in the next generation of wireless communication could be ensured by Non-Orthogonal Multiple Access (NOMA) approach in the millimetre-wave (mmW) frequ…

cs.IT2017

Robust Cooperative Relay Beamforming

Behrad Mahboobi, Mehrdad Ardebilipour, Ashkan Kalantari +1

In this paper, the robust distributed relay beamforming problem is solved using the worst case approach, where the problem solution has been involved because of the effect of uncer…

cs.IT2015★ 16 cited

Performance Analysis of Opportunistic Relaying Over Imperfect Non-identical Log-normal Fading Channels

Ashkan Kalantari, Mohammadali Mohammadi, Mehrdad Ardebilipour

Motivated by the fact that full diversity order is achieved using the "best-relay" selection technique, we consider opportunistic amplify-and-forward and decode-and-forward relayin…

cs.IT2014

Performance Analysis of Multi-Antenna Relay Networks over Nakagami-m Fading Channel

E. Soleimani-Nasab, A. Kalantari, M. Ardebilipour

In this chapter, the authors present the performance of multi-antenna selective combining decode-and-forward (SC-DF) relay networks over independent and identically distributed (i.…