Search Results for author: Abolfazl Zakeri

Found 11 papers, 1 papers with code

Semantic-aware Sampling and Transmission in Energy Harvesting Systems: A POMDP Approach

no code implementations11 Nov 2023 Abolfazl Zakeri, Mohammad Moltafet, Marian Codreanu

Then, for both AoII under the perfect channel setup and distortion, we express the belief as a function of the age of information (AoI).

Optimal Semantic-aware Sampling and Transmission in Energy Harvesting Systems Through the AoII

no code implementations3 Apr 2023 Abolfazl Zakeri, Mohammad Moltafet, Marian Codreanu

Then, for the perfect channel setup, we effectively truncate the corresponding belief space and solve the MDP problem using the relative value iteration method.

Stochastic Optimization

Query-Age-Optimal Scheduling under Sampling and Transmission Constraints

no code implementations23 Sep 2022 Abolfazl Zakeri, Mohammad Moltafet, Markus Leinonen, Marian Codreanu

This letter provides query-age-optimal joint sampling and transmission scheduling policies for a heterogeneous status update system, consisting of a stochastic arrival and a generate-at-will source, with an unreliable channel.

Scheduling

Online Service Provisioning in NFV-enabled Networks Using Deep Reinforcement Learning

no code implementations3 Nov 2021 Ali Nouruzi, Abolfazl Zakeri, Mohamad Reza Javan, Nader Mokari, Rasheed Hussain, Ahsan Syed Kazmi

In specific, the obtained results show that the average number of admitted requests of the network increases by 7 up to 14% and the network utilization cost decreases by 5 and 20 %.

reinforcement-learning Reinforcement Learning (RL)

Minimizing AoI in Resource-Constrained Multi-Source Relaying Systems with Stochastic Arrivals

no code implementations10 Sep 2021 Abolfazl Zakeri, Mohammad Moltafet, Markus Leinonen, Marian Codreanu

We propose an algorithm that obtains a stationary deterministic near-optimal policy, establishing a benchmark for the system.

Stochastic Optimization

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

1 code implementation2 Feb 2021 Amirhossein Shaghaghi, Abolfazl Zakeri, Nader Mokari, Mohammad Reza Javan, Mohammad Behdadfar, Eduard A Jorswieck

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)-enabled networks.

Decision Making Scheduling

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

no code implementations17 Jan 2021 Abolfazl Zakeri, Ata Khalili, Mohammad Reza Javan, Nader Mokari, Eduard A Jorswieck

This paper studies a novel approach for successive interference cancellation (SIC) ordering and beamforming in a multiple antennas non-orthogonal multiple access (NOMA) network with multi-carrier multi-user setup.

Management

A Unified Framework for Joint Energy and AoI Optimization via Deep Reinforcement Learning for NOMA MEC-based Networks

no code implementations1 Nov 2020 Abolfazl Zakeri, Mohammad Parvini, Mohammad Reza Javan, Nader Mokari, Eduard A Jorswieck

To further improve the system capacity, non-orthogonal multiple access (NOMA) is proposed as a candidate for multiple access schemes for future cellular networks.

Signal Processing

Cost-Effective Radio and NFV Resource Allocation: E2E QoS Provision

no code implementations14 Jul 2019 Abolfazl Zakeri, Narges Gholipoor, Mohammad Reza Javan, Nader Mokari, Eduard A. Jorswieck

Simulation results demonstrate that the proposed heuristic algorithm and framework outperforms the existing ones by 34% on average in cost reduction.

Management Scheduling

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