The roll-out of various emerging wireless services has triggered the need for the sixth-generation (6G) wireless networks to provide functions of target sensing, intelligent computing and information communication over the same radio spectrum. In this paper, we provide a unified framework integrating sensing, computing, and communication to optimize limited system resource for 6G wireless networks. In particular, two typical joint beamforming design algorithms are derived based on multi-objective optimization problems (MOOP) with the goals of the weighted overall performance maximization and the total transmit power minimization, respectively. Extensive simulation results validate the effectiveness of the proposed algorithms. Moreover, the impacts of key system parameters are revealed to provide useful insights for the design of integrated sensing, computing, and communication (ISCC).

中文翻译：

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在 6G 无线网络中集成传感、计算和通信：设计和优化

各种新兴无线业务的推出引发了对第六代（6G）无线网络在同一无线电频谱上提供目标感知、智能计算和信息通信功能的需求。在本文中，我们提供了一个集成传感、计算和通信的统一框架，以优化 6G 无线网络的有限系统资源。特别是，基于多目标优化问题（MOOP）推导出了两种典型的联合波束成形设计算法，其目标分别是加权整体性能最大化和总发射功率最小化。大量的仿真结果验证了所提出算法的有效性。此外，揭示了关键系统参数的影响，为集成传感的设计提供了有用的见解，