  Integrated Sensing and Communications (ISAC) is one of the core technologies
of 6G, which combines sensing and communication functions into a single system.
However, limited computing and storage resources make it impractical to combine
multiple sensing models into a single device, constraining the system's
function and performance. Therefore, this article proposes enhancing ISAC with
the mixture of experts (MoE) architecture. Rigorously, we first investigate
ISAC and MoE, including their concepts, advantages, and applications. Then, we
explore how MoE can enhance ISAC from the perspectives of signal processing and
network optimization. Building on this, we propose an MoE based ISAC framework,
which uses a gating network to selectively activate multiple experts in
handling sensing tasks under given communication conditions, thereby improving
the overall performance. The case study demonstrates that the proposed
framework can effectively increase the accuracy and robustness in detecting
targets by using wireless communication signal, providing strong support for
the practical deployment and applications of the ISAC system.
