Optimizing 6G Integrated Sensing and Communications via Expert Networks
Jiacheng Wang, Hongyang Du, Geng Sun, Jiawen Kang, Haibo Zhou, Dusit Niyato, Jiming Chen
Abstract
Integrated sensing and communications (ISAC) is one of the core technologies of 6G. However, limited resources make it impractical to integrate multiple sensing models into a single ISAC device, posing challenges for the deployment and application of ISAC. Therefore, this article explores the use of the mixture of experts (MoE) architecture to address these challenges in ISAC systems and validates its feasibility through a case study. We first investigate ISAC and MoE, including their concepts, advantages, and applications. We then explore the potential of MoE to support ISAC from the perspectives of signal processing, network, and application layers. Building on this, we propose an MoE-based ISAC framework, which uses a gating network to selectively activate experts to handle sensing tasks under the given communication conditions, thereby improving the overall performance. The case study demonstrates that the proposed framework can significantly increase the accuracy and robustness in detecting targets by using wireless communication signals, providing strong support for the practical deployment and applications of the ISAC system.