Search Results for author: Ata Khalili

Found 7 papers, 0 papers with code

Resource Allocation for UAV-Assisted Industrial IoT User with Finite Blocklength

no code implementations24 Oct 2023 Atefeh Rezaei, Ata Khalili, Falko Dressler

The results reveal that the proposed framework outperforms the baseline schemes, demonstrating its superiority in achieving lower DEP at the remote device.

Energy-Aware Resource Allocation and Trajectory Design for UAV-Enabled ISAC

no code implementations20 Feb 2023 Ata Khalili, Atefeh Rezaei, Dongfang Xu, Robert Schober

In this paper, we investigate joint resource allocation and trajectory design for multi-user multi-target unmanned aerial vehicle (UAV)-enabled integrated sensing and communication (ISAC).

Smart Resource Allocation Model via Artificial Intelligence in Software Defined 6G Networks

no code implementations9 Feb 2023 Ali Nouruzi, Atefeh Rezaei, Ata Khalili, Nader Mokari, Mohammad Reza Javan, Eduard A. Jorswieck, Halim Yanikomeroglu

To this end, we introduce a new metric, i. e., throughput-overhead-complexity (TOC), for the proposed machine learning-based algorithm, which supports a trade-off between these performance indicators.

Decision Making Management

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

Joint Transmission in QoE-Driven Backhaul-Aware MC-NOMA Cognitive Radio Network

no code implementations30 Aug 2020 Hosein Zarini, Ata Khalili, Hina Tabassum, Mehdi Rasti

In particular, we formulate a joint optimization problem of power control and scheduling (i. e., user association and subcarrier allocation) in secondary tier to maximize total achievable QoE for the secondary users.

Scheduling

Multi-Objective Energy Efficient Resource Allocation and User Association for In-band Full Duplex Small-Cells

no code implementations1 Jul 2020 Sheyda Zarandi, Ata Khalili, Mehdi Rasti, Hina Tabassum

In this paper, we develop a framework to maximize the network energy efficiency (EE) by optimizing joint user-base station~(BS) association,~subchannel assignment, and power control considering an in-band full-duplex (IBFD)-enabled small-cell network.

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