In this article, we investigate the issue of integrated sensing, computation and communication (SCC) in beyond fifth-generation (B5G) cellular internet of things (IoT) networks. According to the characteristics of B5G cellular IoT, a comprehensive design framework integrating SCC is put forward for massive IoT. For sensing, highly accurate sensed information at IoT devices are sent to the base station (BS) by using non-orthogonal communication over wireless multiple access channels. Meanwhile, for computation, a novel technique, namely over-the-air computation (AirComp), is adopted to substantially reduce the latency of massive data aggregation via exploiting the superposition property of wireless multiple access channels. To coordinate the co-channel interference for enhancing the overall performance of B5G cellular IoT integrating SCC, two joint beamforming design algorithms are proposed from the perspectives of the computation error minimization and the weighted sum-rate maximization, respectively. Finally, extensive simulation results validate the effectiveness of the proposed algorithms for B5G cellular IoT over the baseline ones.

中文翻译：

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B5G蜂窝物联网中的集成传感、计算和通信

在本文中，我们研究了超越第五代 (B5G) 蜂窝物联网 (IoT) 网络中的集成传感、计算和通信 (SCC) 问题。针对B5G蜂窝物联网的特点，针对海量物联网提出了集成SCC的综合设计框架。对于传感，物联网设备的高精度传感信息通过无线多接入信道使用非正交通信发送到基站 (BS)。同时，在计算方面，采用了一种新技术，即空中计算（AirComp），通过利用无线多址信道的叠加特性，大大降低了海量数据聚合的延迟。协调同频干扰以提高集成 SCC 的 B5G 蜂窝物联网的整体性能，分别从计算误差最小化和加权和速率最大化的角度提出了两种联合波束形成设计算法。最后，广泛的仿真结果验证了所提出的 B5G 蜂窝物联网算法相对于基线算法的有效性。