Work

Active Inference Framework for Closed-Loop Sensing, Communication, and Control in UAV Systems

Year: 2026

Type: conference-paper

Abstract: Integrated sensing and communication is a core technology for 6G, and its application to closed-loop sensing, communication, and control (SCC) enables various services. Existing SCC solutions often treat sensing and control separately, leading to suboptimal performance and resource usage. In this work, we introduce the active inference framework into SCC-enabled uncrewed aerial vehicle systems for joint state estimation, control, and sensing resource allocation. By formulating a unified generative model, the problem reduces to minimizing variational free energy for inference and expected free energy for action planning. Simulation results show that both control cost and sensing cost are reduced relative to baselines.

Source: IEEE International Conference on Acoustics Speech and Signal Processing

DOI: 10.1109/icassp55912.2026.11463037

Authors: Guangjin Pan, Liping Bai, Zhuojun Tian, Hui Chen, Mehdi Bennis, Henk Wymeersch

Institutions: Chalmers University of Technology, University of Oulu

Language: English

Topic: UAV Applications and Optimization

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funder: HORIZON EUROPE Framework Programme