activity
20212024
most citedLearning based E2E Energy Efficient in Joint Radio and NFV Resource Allocation for 5G and Beyond Networks

1 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2024★ 1 cited

Age of Information Minimization in UAV-Assisted Covert Communication: Trajectory and Beamforming Design

Shima Salar Hosseini, Paeiz Azmi, Ali Nazari

Unmanned aerial vehicles (UAVs) have the potential for time-sensitive applications. Due to wireless channel variation, received data may have an expiration time, particularly in cr…

cs.IT2022

Average Age of Information Minimization in Reliable Covert Communication on Time-Varying Channels

Shima Salar Hosseini, Paeiz Azmi, Nader Mokari

In this letter, we propose reliable covert communications with the aim of minimizing age of information (AoI) in the time-varying channels. We named the time duration that channel…

eess.SY2022

Multicasting in NOMA-Based UAV Networks: Path Design and Throughput Maximization

Shima Salarhosseini, Mohammad Reza Javan, Ali Nazari

In this paper, we propose a new resource allocation framework for unmanned aerial vehicle (UAV) assisted multicast wireless networks in which the network users according to their r…

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…

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…