activity
20172026
most citedOptimal SIC Ordering and Power Allocation in Downlink Multi-Cell NOMA Systems

36 citations · 193 across the 59 of their papers we have counts for

collaborators
Showing 2021Show all

15 papers · 1 filter

cs.IT2021

On the Reception Process of Molecular Communication-Based Drug Delivery

Roya Paridar, Nader Mokari, Eduard Jorswieck +1

One of the important applications of molecular communication is the targeted drug delivery process in which the drug molecules are released toward the target (receiver) in a way th…

eess.SP2021★ 2 cited

Multi Agent Reinforcement Learning Trajectory Design and Two-Stage Resource Management in CoMP UAV VLC Networks

Mohammad Reza Maleki, Mohammad Robat Mili, Mohammad Reza Javan +2

In this paper, we consider unmanned aerial vehicles (UAVs) equipped with a visible light communication (VLC) access point and coordinated multipoint (CoMP) capability that allows u…

eess.SP2021★ 2 cited

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…

eess.SY2021

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.…

cs.NI2021

Online Admission Control and Resource Allocation in Network Slicing under Demand Uncertainties

Sajjad Gholamipour, Behzad Akbari, Nader Mokari +2

One of the most important aspects of moving forward to the next generation networks like 5G/6G, is to enable network slicing in an efficient manner. The most challenging issues are…

eess.SP2021★ 1 cited

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…

eess.SY2021

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…

eess.SP2021

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…

cs.IT2021

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…

cs.NI2021★ 1 cited

AI-Based and Mobility-Aware Energy Efficient Resource Allocation and Trajectory Design for NFV Enabled Aerial Networks

Mohsen Pourghasemian, Mohammad Reza Abedi, Shima Salarhosseini +3

In this paper, we propose a novel joint intelligent trajectory design and resource allocation algorithm based on user's mobility and their requested services for unmanned aerial ve…

eess.SP2021

Age of Information Aware VNF Scheduling in Industrial IoT Using Deep Reinforcement Learning

Mohammad Akbari, Mohammad Reza Abedi, Roghayeh Joda +3

In delay-sensitive industrial internet of things (IIoT) applications, the age of information (AoI) is employed to characterize the freshness of information. Meanwhile, the emerging…

eess.SP2021★ 2 cited

AoI-Aware Resource Allocation for Platoon-Based C-V2X Networks via Multi-Agent Multi-Task Reinforcement Learning

Mohammad Parvini, Mohammad Reza Javan, Nader Mokari +2

This paper investigates the problem of age of information (AoI) aware radio resource management for a platooning system. Multiple autonomous platoons exploit the cellular wireless…

eess.SP2021

Proactive and AoI-aware Failure Recovery for Stateful NFV-enabled Zero-Touch 6G Networks: Model-Free DRL Approach

Amirhossein Shaghaghi, Abolfazl Zakeri, Nader Mokari +3

In this paper, we propose a Zero-Touch, deep reinforcement learning (DRL)-based Proactive Failure Recovery framework called ZT-PFR for stateful network function virtualization (NFV…

cs.IT2021★ 36 cited

Optimal SIC Ordering and Power Allocation in Downlink Multi-Cell NOMA Systems

Sepehr Rezvani, Eduard A. Jorswieck, Nader Mokari +1

In this work, we propose a globally optimal joint successive interference cancellation (SIC) ordering and power allocation (JSPA) algorithm for the sum-rate maximization problem in…

eess.SP2021★ 35 cited

Robust Energy-Efficient Resource Management, SIC Ordering, and Beamforming Design for MC MISO-NOMA Enabled 6G

Abolfazl Zakeri, Ata Khalili, Mohammad Reza Javan +2

This paper studies a novel approach for successive interference cancellation (SIC) ordering and beamforming in a multiple antennas non-orthogonal multiple access (NOMA) network wit…