This paper considers a cell-free massive multipleinput multiple-output (MIMO) integrated sensing and communication (ISAC) system, where distributed MIMO access points (APs) are used to jointly serve the communication users and detect the presence of a single target. We investigate the problem of AP operation mode selection, wherein some APs are dedicated for downlink communication, while the remaining APs are used for sensing purposes. Closed-form expressions for the individual spectral efficiency (SE) and mainlobe-to-average-sidelobe ratio (MASR) are derived, which are respectively utilized to assess the communication and sensing performances. Accordingly, a maxmin fairness problem is formulated and solved, where the minimum SE of the users is maximized, subject to the per-AP power constraints as well as sensing MASR constraint. Our numerical results show that the proposed AP operation mode selection with power control can significantly improve the communication performance for given sensing requirements.

翻译：本文研究了一种无蜂窝大规模多输入多输出（MIMO）集成感知与通信（ISAC）系统，其中分布式MIMO接入点（AP）联合服务于通信用户并检测单个目标的存在。我们探讨了AP工作模式选择问题，即部分AP专用于下行通信，而其余AP用于感知目的。推导了用于评估通信和感知性能的个体频谱效率（SE）和主瓣平均旁瓣比（MASR）的闭式表达式。据此，我们构建并求解了一个最大最小公平性问题，即在满足各AP功率约束及感知MASR约束条件下，最大化用户的最小SE。数值结果表明，所提的基于功率控制的AP工作模式选择能在给定感知需求下显著提升通信性能。