11 citations · 44 across the 24 of their papers we have counts for
43 papers
AI-based Radio Resource Management and Trajectory Design for PD-NOMA Communication in IRS-UAV Assisted Networks
Hussein M. Hariz, Saeed Sheikhzadeh, Nader Mokari +3
In this paper, we consider that the unmanned aerial vehicles (UAVs) with attached intelligent reflecting surfaces (IRSs) play the role of flying reflectors that reflect the signal…
Online Service Provisioning in NFV-enabled Networks Using Deep Reinforcement Learning
Ali Nouruzi, Abolfazl Zakeri, Mohamad Reza Javan +3
In this paper, we study a Deep Reinforcement Learning (DRL) based framework for an online end-user service provisioning in a Network Function Virtualization (NFV)-enabled network.…
Learning based E2E Energy Efficient in Joint Radio and NFV Resource Allocation for 5G and Beyond Networks
Narges Gholipoor, Ali Nouruzi, Shima Salarhosseini +3
In this paper, we propose a joint radio and core resource allocation framework for NFV-enabled networks. In the proposed system model, the goal is to maximize energy efficiency (EE…
AoI Minimization in Energy Harvesting and Spectrum Sharing Enabled 6G Networks
Amir Hossein Zarif, Paeiz Azmi, Nader Mokari +2
Spectrum sharing is a method to solve the problem of frequency spectrum deficiency. This paper studies a novel AI based spectrum sharing and energy harvesting system in which the f…
AI-Based Secure NOMA and Cognitive Radio enabled Green Communications: Channel State Information and Battery Value Uncertainties
Saeed Sheikhzadeh, Mohsen Pourghasemian, Mohammad R. Javan +2
In this paper, the security-aware robust resource allocation in energy harvesting cognitive radio networks is considered with cooperation between two transmitters while there are u…
Resource Management for Transmit Power Minimization in UAV-Assisted RIS HetNets Supported by Dual Connectivity
Ata Khalili, Ehsan Mohammadi Monfard, Shayan Zargari +3
This paper proposes a novel approach to improve the performance of a heterogeneous network (HetNet) supported by dual connectivity (DC) by adopting multiple unmanned aerial vehicle…