Work

Cooperative Urban Air Mobility Trajectory Design for Power and AoI Optimization: A Multi-Agent Reinforcement Learning Approach

Year: 2025

Type: article

Source: IEEE Transactions on Vehicular Technology

DOI: 10.1109/tvt.2025.3561155

Authors: Hyeonsu Kim, Pyae Sone Aung, Md. Shirajum Munir, Walid Saad, Choong Seon Hong

Institutions: Kyung Hee University, University of West Georgia, Virginia Tech

Language: English

Topic: Air Traffic Management and Optimization

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: closed

Funder: Ministry of Science and ICT, South Korea

Awards: G1898209371, G6382054056

OpenAlex ID: W4409474520

FWCI: 1.592

Cites: 15

Cited by: 4

Related to: 10