Work

RIS partitioning and UAV selection for age-of-information optimization in RIS-assisted UAV communications

Year: 2024

Type: article

Abstract: Reconfigurable intelligent surface (RIS) has been attracted great attention because it can enhance the capacity and coverage of wireless communication systems. However, when applying RIS to an unmanned aerial vehicle (UAV) networks, it is necessary to manage the RIS reflection elements and UAV scheduling in the BS-RIS-UAVs link. This paper proposes a deep reinforcement learning (DRL)-based resource allocation scheme for jointly determining the number of serving UAVs and their partition-based RIS allocation, aiming to minimize the age of information (AoI). Simulation results show that the proposed DRL-based joint UAV selection and partition-based RIS allocation scheme outperforms all the other schemes without joint optimization in terms of the average AoI.

Source: ICT Express

DOI: 10.1016/j.icte.2024.10.003

Authors: Juseoung Lee, Jaewoo So

Institution: Sogang University

Language: English

Topic: Advanced Wireless Communication Technologies

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $1,500