Evolving next-generation mobile networks is designed to provide ubiquitous coverage and networked sensing. With utility of multi-view sensing and multi-node joint transmission, cell-free is a promising technique to realize this prospect. This paper aims to tackle the problem of access point (AP) deployment in cell-free systems to balance the sensing accuracy and user rate. By merging the D-optimality with Euclidean criterion, a novel integrated metric is proposed to be the objective function for both max-sum and max-min problems, which respectively guarantee the overall and lowest performance in multi-user communication and target tracking scenario. To solve the corresponding high dimensional non-convex multi-objective problem, the Soft actor-critic (SAC) is utilized to avoid risk of local optimal result. Numerical results demonstrate that proposed SAC-based APs deployment method achieves $20\%$ of overall performance and $120\%$ of lowest performance.

翻译：演进中的下一代移动网络旨在提供泛在覆盖与网络化感知。借助多视角感知与多节点联合传输的优势，无蜂窝技术是实现这一前景的有力手段。本文致力于解决无蜂窝系统中接入点（AP）的部署问题，以权衡感知精度与用户速率。通过将D最优性与欧几里得准则相结合，本文提出一种新颖的综合度量作为最大化和与最大化最小化问题的目标函数，分别保障多用户通信与目标跟踪场景中的整体性能与最差性能。为求解相应的高维非凸多目标问题，采用软演员-评论家（SAC）算法以避免陷入局部最优解的风险。数值结果表明，所提出的基于SAC的AP部署方法实现了整体性能提升$20\%$与最差性能提升$120\%$。