Demo: Low-power Communications Based on RIS and AI for 6G

Mingyao Cui, Zi-Yang Wu, Yuhao Chen, Shenheng Xu, Fan Yang, L. Dai
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引用次数: 3

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.
演示:基于RIS和AI的6G低功耗通信
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。
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