>[!summary] > Predictive network planning involves utilizing advanced analytics and simulations to forecast and optimize the design and operation of mobile networks. By anticipating network demand and behavior, operators can proactively allocate resources, enhance service quality, and reduce operational costs. This employs tools like digital twins and AI-driven algorithms to provide actionable insights, improving decision-making processes. The reference below introduces the topic and takes the specific example of EMF exposure as key constraint to plan the deployment of networks. >[!References] >- Faye, Sébastien; Camino, Ramiro; Rziga, Ghaya; Sarvari, Peiman Alipour; Al-Naffakh, Neamah; Estrada-Jiménez, Juan Carlos; Pardo, Enric; Khadraoui, Djamel; (2023). **A survey on EMF-aware mobile network planning**. IEEE Access. [![DOI](https://img.shields.io/badge/DOI-10.1109%2FACCESS.2023.3297098-blue?style=flat-square)](https://doi.org/10.1109/ACCESS.2023.3297098)