# Integrating Sensing, Computing, and Communication in 6G Wireless Networks: Design and Optimization

arXiv: https://arxiv.org/abs/2207.03634 · HTML: https://mlsanity.com/paper/2207.03634/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 8 Jul 2022.

## Built on by (most cited first, 4 of 4)

- [A Survey on Integrated Sensing, Communication, and Computation](https://mlsanity.com/paper/2408.08074/) (2024)
- [Integrated Sensing-Communication-Computation for Edge Artificial Intelligence](https://mlsanity.com/paper/2306.01162/) (2023)
- [Federated Learning with Integrated Sensing, Communication, and Computation: Frameworks and Performance Analysis](https://mlsanity.com/paper/2409.11240/) (2024)
- [Robust Design of Integrated Sensing and Communication in LEO Satellite Systems](https://mlsanity.com/paper/2607.12337/) (2026)

## Abstract (arXiv)

The roll-out of various emerging wireless services has triggered the need for the sixth-generation (6G) wireless networks to provide functions of target sensing, intelligent computing and information communication over the same radio spectrum. In this paper, we provide a unified framework integrating sensing, computing, and communication to optimize limited system resource for 6G wireless networks. In particular, two typical joint beamforming design algorithms are derived based on multi-objective optimization problems (MOOP) with the goals of the weighted overall performance maximization and the total transmit power minimization, respectively. Extensive simulation results validate the effectiveness of the proposed algorithms. Moreover, the impacts of key system parameters are revealed to provide useful insights for the design of integrated sensing, computing, and communication (ISCC).