Demo: low-power communications based on RIS and AI for 6G
Mingyao Cui, Zidong Wu, Yuhao Chen, Shenheng Xu, Fan Yang, and, Linglong Dai

TL;DR
This paper presents a low-power 6G communication system using RIS and AI, replacing traditional hardware with intelligent surfaces and software design to enable real-time 4K video transmission efficiently.
Contribution
It introduces a novel combination of RIS hardware and AI software to significantly reduce power consumption in 6G communications.
Findings
Achieved real-time 4K video transmission with reduced power.
Developed a 256-element RIS for base station and 2304-element RIS as relay.
Demonstrated the effectiveness of hardware-software co-design in low-power 6G systems.
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…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Satellite Communication Systems · Antenna Design and Analysis
MethodsBalanced Selection
