6 papers
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.…
Minimizing AoI in Resource-Constrained Multi-Source Relaying Systems with Stochastic Arrivals
Abolfazl Zakeri, Mohammad Moltafet, Markus Leinonen +1
We consider a multi-source relaying system where the sources independently and randomly generate status update packets which are sent to the destination with the aid of a bufferaid…
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…
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…
A Unified Framework for Joint Energy and AoI Optimization via Deep Reinforcement Learning for NOMA MEC-based Networks
Abolfazl Zakeri, Mohammad Parvini, Mohammad Reza Javan +2
In this paper, we design a novel scheduling and resource allocation algorithm for a smart mobile edge computing (MEC) assisted radio access network. Different from previous energy…
Joint Radio Resource Allocation and Cooperative Caching in PD-NOMA-Based HetNets
Maryam Moghimi, Abolfazl Zakeri, Mohammad Reza Javan +2
In this paper, we propose a novel joint resource allocation and cooperative caching scheme for power-domain non-orthogonal multiple access (PD-NOMA)-based heterogeneous networks (H…