Simultaneous Transmitting and Air Computing for High-Speed Point-to-Point Wireless Communication

Jianxiu Li, Wenchi Cheng
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Abstract

The development of the fifth-generation (5G) cellular technologies promotes the rapid deployment of the Internet of Things (IoT), where low latency is highly demanded for wireless devices with small size and limited resources. For the intensive computation tasks, how to reduce the latency is still a challenging issue along with the boosting of IoT devices. To reduce the latency, in this paper we consider high-speed point-to-point wireless communications, e.g., orbital-angular-momentum (OAM) based wireless communications, and develop a practical scheme with the computation executed during transmissions. Specifically, we design a new weighted function for the data-stream transmitted on each OAM-mode to achieve the simultaneous transmitting and air computing (STAC). Then, we propose the STAC signal detection scheme to directly obtain the computation result without individually processing each transmitted data-stream. Theoretical analyses show that the computation latency can be efficiently decreased. Also, the symbol error rate (SER) is significantly reduced with our proposed scheme, which helps decrease the number of re-transmissions and the corresponding time used for communications. Simulation and numerical results verify the performance improvements with the proposed scheme.
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高速点对点无线通信的同步传输和空中计算
第五代(5G)蜂窝技术的发展促进了物联网(IoT)的快速部署,对体积小、资源有限的无线设备提出了低延迟的高要求。对于密集的计算任务,随着物联网设备的增加,如何降低延迟仍然是一个具有挑战性的问题。为了减少延迟,本文考虑高速点对点无线通信,例如基于轨道角动量(OAM)的无线通信,并开发了一个在传输过程中进行计算的实用方案。具体来说,我们设计了一种新的加权函数,以实现每个oam模式下传输的数据流同时传输和空中计算(STAC)。然后,我们提出了STAC信号检测方案,无需单独处理每条传输数据流,直接获得计算结果。理论分析表明,该方法可以有效地降低计算延迟。此外,我们提出的方案显著降低了符号误码率(SER),有助于减少重传次数和相应的通信时间。仿真和数值结果验证了该方案的性能改进。
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