论文标题
B5G蜂窝互联网中的集成感测，计算和通信
Integrated Sensing, Computation and Communication in B5G Cellular Internet of Things
论文作者
论文摘要
在本文中，我们研究了第五代（B5G）物联网（IoT）网络中综合感应，计算和通信（SCC）的问题。根据B5G细胞IoT的特征，提出了一个全面的设计框架，用于大规模的物联网。为了感知，通过使用无线多个访问通道，通过使用非正交通信将物联网设备上的高度准确感知的信息发送到基站（BS）。同时，对于计算，采用了一种新颖的技术，即高空计算（AIRCOMP），通过利用无线多个访问通道的叠加属性来大大减少大规模数据聚合的潜伏期。为了协调共同通道干扰，以增强B5G细胞IoT整合SCC的整体性能，从计算误差最小化和加权总和量最大化的角度提出了两种凝管设计算法。最后，广泛的仿真结果验证了基线上提出的B5G细胞IoT算法的有效性。
In this paper, 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.
