Work

MADRL Based Joint Resource Allocation and 3D CoordinateOptimization of UAVs in Air-Ground Integrated IoT Networks

Year: 2024

Type: conference-paper

Abstract: With the development of IoT networks, more and more types of devices are connected to the Internet, and different devices generate different tasks.Therefore, a reasonable resource allocation method with limited resources is crucial.This paper, we introduce Unmanned Aerial Vehicles (UAVs) as an airborne base station (BS) to provide users with more flexible deployable resources.All BSs carry bandwidth resources and computing resources, and all BSs can dynamically perform network slicing depending on the type of service requested by the user.Therefore, K-means++ Algorithm is used to optimize the 2D coordinates of the UAV, while the MATD3 Algorithm is used to jointly optimize the altitude of the UAV and resource slice fraction.Simulation results show that the proposed Algorithm has better packet arrival rate as well as lower latency.

Source: International Conference on Computer, Internet of Things and Smart City (CIoTSC)

DOI: 10.1145/3731867.3731875

Authors: Hongjia Liang, Geng Chen, Qingtian Zeng, Yudong Zhang

Institutions: Shandong University of Science and Technology, Southeast University

Language: English

Topic: UAV Applications and Optimization

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Funders: Shandong University, National Natural Science Foundation of China, Shandong University of Science and Technology, Natural Science Foundation of Shandong Province