The paper "The Integrated Sensing and Communication Revolution for 6G: Vision, Techniques, and Applications" by N. González-Prelcic et al. explores the integration of sensing and communication in future wireless networks, particularly in the context of 6G. The authors discuss the vision for integrated sensing and communication (ISAC) networks, highlighting how signal processing, optimization, and machine learning techniques can be leveraged to realize these networks. They provide an overview of the potential sensing modes, network infrastructure, and the integration of sensing and communication at different frequency bands. The paper also reviews recent advances in joint bistatic and multi-static sensing and communication, monostatic sensing and communication, and the use of novel technologies like large reconfigurable intelligent surfaces (RIS) and distributed MIMO to enhance position estimation accuracy. Additionally, the authors discuss the role of sensing in network operation, such as radio-simultaneous localization and mapping (SLAM), and sensor-aided communication to improve network adaptability and resilience. The paper emphasizes the importance of spectrum and MIMO technologies, the evolution of positioning and sensing services, and the need for advanced channel models to support sensing in 6G networks. Finally, it outlines the challenges and opportunities in channel estimation for localization and sensing, including the need for high-resolution and accurate parameter estimation to support these applications.The paper "The Integrated Sensing and Communication Revolution for 6G: Vision, Techniques, and Applications" by N. González-Prelcic et al. explores the integration of sensing and communication in future wireless networks, particularly in the context of 6G. The authors discuss the vision for integrated sensing and communication (ISAC) networks, highlighting how signal processing, optimization, and machine learning techniques can be leveraged to realize these networks. They provide an overview of the potential sensing modes, network infrastructure, and the integration of sensing and communication at different frequency bands. The paper also reviews recent advances in joint bistatic and multi-static sensing and communication, monostatic sensing and communication, and the use of novel technologies like large reconfigurable intelligent surfaces (RIS) and distributed MIMO to enhance position estimation accuracy. Additionally, the authors discuss the role of sensing in network operation, such as radio-simultaneous localization and mapping (SLAM), and sensor-aided communication to improve network adaptability and resilience. The paper emphasizes the importance of spectrum and MIMO technologies, the evolution of positioning and sensing services, and the need for advanced channel models to support sensing in 6G networks. Finally, it outlines the challenges and opportunities in channel estimation for localization and sensing, including the need for high-resolution and accurate parameter estimation to support these applications.