{"title":"Simultaneous Transmitting and Air Computing for High-Speed Point-to-Point Wireless Communication","authors":"Jianxiu Li, Wenchi Cheng","doi":"10.1109/ICC40277.2020.9148885","DOIUrl":null,"url":null,"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.","PeriodicalId":106560,"journal":{"name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICC40277.2020.9148885","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.