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).

翻译：各种新兴无线服务的推出引发了第六代(6G)无线网络的需要,以在同一无线电频谱上提供目标感测、智能计算和信息通信功能;在本文件中,我们提供了一个统一框架,将遥感、计算和通信结合起来,优化6G无线网络的有限系统资源;特别是,基于分别实现加权总体性能最大化和将总传输功率减到最小的目标的多目标优化问题(MOOP)得出了两种典型的联合波束设计算法;广泛的模拟结果验证了拟议算法的有效性;此外,还披露了关键系统参数的影响,为综合感测、计算和通信的设计提供了有益的洞察力(ISCC)。