Integrated sensing and communication (ISAC) emerges as a new design paradigm that combines both sensing and communication systems to jointly utilize their resources and to pursue mutual benefits for future B5G and 6G networks. In ISAC, the hardware and spectrum co-sharing leads to a fundamental tradeoff between sensing and communication performance, which is not well understood except for very simple cases with the same sensing and channel states, and perfect channel state information at the receiver (CSIR). In this paper, a more general point-to-point ISAC model is proposed to account for the scenarios that the sensing state is different from but correlated with the channel state, and the CSIR is not necessarily perfect. For the model considered, the optimal tradeoff is characterized by a capacity-distortion function that quantifies the best communication rate for a given sensing distortion constraint requirement. An iterative algorithm is proposed to compute such tradeoff, and a few non-trivial examples are constructed to demonstrate the benefits of ISAC as compared to the separation-based approach.

翻译：综合遥感和通信(ISAC)是一个新的设计范例,将遥感和通信系统结合起来,共同利用资源,为未来的B5G和6G网络谋求互利。在ISAC, 硬件和频谱共享导致遥感和通信性能之间的根本权衡,除了同感测和频道状态的非常简单的情况,以及接收器(CSIR)的完美频道状态信息之外,这一点没有很好地理解。在本文件中,建议采用一个比较一般的点对点ISAC模型,以说明感测状态不同于频道状态但与频道状态相关,而CSIR不一定完美。在所考虑的模式中,最佳权衡的特征是能力扭曲功能,对特定感测扭曲制约要求的最佳通信率进行量化。建议采用迭代算法来计算这种权衡,并建立了几个非三重的例子,以证明ISAC相对于分解法的好处。