This paper considers information-theoretic models for integrated sensing and communication (ISAC) over multi-access channels (MAC) and device-to-device (D2D) communication. The models are general and include as special cases scenarios with and without perfect or imperfect state-information at the MAC receiver as well as causal state-information at the D2D terminals. For both setups, we propose collaborative sensing ISAC schemes where terminals not only convey data to the other terminals but also state-information that they extract from their previous observations. This state-information can be exploited at the other terminals to improve their sensing performances. Indeed, as we show through examples, our schemes improve over previous non-collaborative schemes in terms of their achievable rate-distortion tradeoffs. For D2D we propose two schemes, one where compression of state information is separated from channel coding and one where it is integrated via a hybrid coding approach.

翻译：本文研究了多址接入信道（MAC）和设备到设备（D2D）通信中集成感知与通信（ISAC）的信息论模型。该模型具有通用性，其特例场景包括：MAC接收端具备或不具备完美/非完美状态信息，以及D2D终端具备因果状态信息。针对这两种场景，我们提出了协作感知ISAC方案，其中终端不仅向其他终端传输数据，还传输从先前观测中提取的状态信息。该状态信息可被其他终端利用以提升其感知性能。事实上，如通过示例所示，我们的方案在可达速率-失真权衡方面优于以往的非协作方案。针对D2D场景，我们提出了两种方案：一种将状态信息压缩与信道编码分离，另一种通过混合编码方法实现两者的集成。