Research Article
Integrated Sensing, Communication, and Computation for Over-the-Air THz Band Internet of Things
@INPROCEEDINGS{10.1007/978-3-032-44094-5_4, author={Anh-Tuan Tran and Trieu-Phong Nguyen and Van-Truong Truong and Dac-Binh Ha}, title={Integrated Sensing, Communication, and Computation for Over-the-Air THz Band Internet of Things}, proceedings={Industrial Networks and Intelligent Systems. 12th EAI International Conference, INISCOM 2026, Da Nang, Vietnam, February 26--27, 2026, Proceedings}, proceedings_a={INISCOM}, year={2026}, month={11}, keywords={integration of sensing communication and computing mobile edge computing backscatter communication unmanned aerial vehicle Terahertz-band successful sensing computation probability Advantage Actor-Critic}, doi={10.1007/978-3-032-44094-5_4} }- Anh-Tuan Tran
Trieu-Phong Nguyen
Van-Truong Truong
Dac-Binh Ha
Year: 2026
Integrated Sensing, Communication, and Computation for Over-the-Air THz Band Internet of Things
INISCOM
Springer
DOI: 10.1007/978-3-032-44094-5_4
Abstract
The integration of sensing, communication, and computing (ISCC) is a key research area for 6G technology. To address the computational uncertainty in complex scenarios involving sensing, communication, and computation, this paper proposes a robust resource allocation and decision optimization scheme. This scheme is designed for UAV-assisted IoT networks integrated sensing, backscatter communication, and mobile edge computing (MEC) in Terahertz (THz) band. We developed a new approach to tackle the unpredictable nature of channels. First, we derive the exact closed-form expression for the successful sensing computation probability (SSCP) to evaluate system performance. Then, we formulate an optimization problem to maximize SSCP. Given the inherent multivariate and non-convex properties of this optimization challenge, we propose an Advantage Actor-Critic (A2C) optimization algorithm. The simulation results confirm that our A2C algorithm provides substantial enhancements to the system’s performance in comparison to the traditional Genetic Algorithm (GA).