演示:基于RIS和AI的6G低功耗通信

Mingyao Cui, Zi-Yang Wu, Yuhao Chen, Shenheng Xu, Fan Yang, L. Dai
{"title":"演示:基于RIS和AI的6G低功耗通信","authors":"Mingyao Cui, Zi-Yang Wu, Yuhao Chen, Shenheng Xu, Fan Yang, L. Dai","doi":"10.1109/ICCWorkshops53468.2022.9915019","DOIUrl":null,"url":null,"abstract":"Ultra- massive multiple-input- multiple-output (UM-MIMO) is promising to meet the high rate requirements for future 6G. However, due to the large number of antennas and high path loss, the hardware power consumption and computing power consumption of UM-MIMO will be unaffordable. To address this problem, we implement a low-power communication system based on reconfigurable intelligent surface (RIS) and artificial intelligence (AI) for 6G. For hardware design, we employ a 256-element RIS at the base station to replace the traditional phased array. Moreover, a 2304-element RIS is developed as a relay to assist communication with much reduced transmit power. For software implementation, we develop an AI-based transmission design to reduce computing power consumption. By jointly designing the hardware and software, this prototype can realize real-time 4K video transmission with much reduced power consumption.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Demo: Low-power Communications Based on RIS and AI for 6G\",\"authors\":\"Mingyao Cui, Zi-Yang Wu, Yuhao Chen, Shenheng Xu, Fan Yang, L. Dai\",\"doi\":\"10.1109/ICCWorkshops53468.2022.9915019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ultra- massive multiple-input- multiple-output (UM-MIMO) is promising to meet the high rate requirements for future 6G. However, due to the large number of antennas and high path loss, the hardware power consumption and computing power consumption of UM-MIMO will be unaffordable. To address this problem, we implement a low-power communication system based on reconfigurable intelligent surface (RIS) and artificial intelligence (AI) for 6G. For hardware design, we employ a 256-element RIS at the base station to replace the traditional phased array. Moreover, a 2304-element RIS is developed as a relay to assist communication with much reduced transmit power. For software implementation, we develop an AI-based transmission design to reduce computing power consumption. By jointly designing the hardware and software, this prototype can realize real-time 4K video transmission with much reduced power consumption.\",\"PeriodicalId\":102261,\"journal\":{\"name\":\"2022 IEEE International Conference on Communications Workshops (ICC Workshops)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Communications Workshops (ICC Workshops)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCWorkshops53468.2022.9915019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCWorkshops53468.2022.9915019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

超大规模多输入多输出(UM-MIMO)有望满足未来6G的高速率要求。然而,由于天线数量多,路径损耗高,UM-MIMO的硬件功耗和计算功耗将难以承受。为了解决这个问题,我们实现了一个基于可重构智能表面(RIS)和人工智能(AI)的6G低功耗通信系统。在硬件设计方面,我们在基站采用256元的RIS来取代传统的相控阵。此外,开发了2304单元RIS作为中继,以大大降低发射功率协助通信。在软件实现方面,我们开发了基于人工智能的传输设计,以降低计算功耗。通过硬件和软件的共同设计,该样机可以实现4K视频的实时传输,大大降低了功耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Demo: Low-power Communications Based on RIS and AI for 6G
Ultra- massive multiple-input- multiple-output (UM-MIMO) is promising to meet the high rate requirements for future 6G. However, due to the large number of antennas and high path loss, the hardware power consumption and computing power consumption of UM-MIMO will be unaffordable. To address this problem, we implement a low-power communication system based on reconfigurable intelligent surface (RIS) and artificial intelligence (AI) for 6G. For hardware design, we employ a 256-element RIS at the base station to replace the traditional phased array. Moreover, a 2304-element RIS is developed as a relay to assist communication with much reduced transmit power. For software implementation, we develop an AI-based transmission design to reduce computing power consumption. By jointly designing the hardware and software, this prototype can realize real-time 4K video transmission with much reduced power consumption.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Performance Analysis of a Bistatic Joint Sensing and Communication System An Upgraded Object Detection Model for Enhanced Perception and Decision Making in Autonomous Vehicles Demo: Low-power Communications Based on RIS and AI for 6G Demo: Deterministic Radio Propagation Simulation for Integrated Communication Systems in Multimodal Intelligent Transportation Scenarios Energy Efficient Distributed Learning in Integrated Fog-Cloud Computing Enabled IoT Networks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1