【直播】【E家之言】面向6G服务的智能超表面通信
以下文章来源于电子与信息学报 ，作者E家之言
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本次论坛邀请6位领域专家，围绕该主题进行特邀报告和深入探讨，由重庆邮电大学徐勇军副教授担任嘉宾主持。
黄崇文 浙江大学
报告嘉宾
报告一
报告题目：AI信息超表面赋能的6G无线通信
报告摘要：
未来的6G无线通信正在迅速向万物智能等功能的范式演进，这意味着整个通信过程的每一个软硬件部分都是可控的，且都能实时的适应环境的变化。尽管未来的无线网络期望在任何地方都能提供这种智能可控的高速无线服务，但是目前现有的无线通信硬件结构使得实现这种愿景变得异常困难。那么，如何实现智能6G无线通信呢？近期，随着新型AI信息超表面技术制造技术的突破，使得AI对无线传输环境的智能控制成为了可能，且具有低成本、高能效等优点。在本次报告中，演讲人将介绍新型AI信息超表面技术并阐述其原理，具体而言，在该报告中，将详细介绍如何使用智能信息超材料实现被动式的AI以及计算任务。之后，将详细介绍AI信息超表面技术国内外进展、使用场景、关键技术等。在此基础上着演讲人也将重点介绍AI信息超表面的应用实例，包括潜在用例以及基于 AI 的波束成形设计等问题。
武庆庆 澳门大学
报告嘉宾
报告二
报告题目：Intelligent Reflecting Surface Aided Wireless Energy and Information Transmission for 6G
报告摘要：
Intelligent reflecting surface (IRS) is a promising technology for achieving spectrum and energy efficient wireless networks cost-effectively. While most existing works focus on exploiting IRS for enhancing the performance of wireless information transmission (WIT), the high beamforming gain achieved by passive IRS is also appealing for boosting the efficiency of radio-frequency (RF) based wireless power transfer (WPT). Although IRS-aided WPT shares certain similar characteristics with IRS-aided WIT, they also differ significantly in terms of design objectives, transmitter/receiver architectures and hardware/power constraints, and so on, which thus may lead to distinct solutions in practice. In this talk, I will provide a tutorial overview on IRS-aided WPT and its more complicated integrations with WIT, namely, IRS-aided simultaneous wireless information and power transfer (SWIPT) and IRS-aided wireless powered communication networks (WPCNs), from the communication and signal processing perspective. Furthermore, important directions worthy of further investigation are highlighted for future work.
李东 澳门科技大学
报告嘉宾
报告三
报告题目：智能反射面辅助通信中的相移反馈压缩与反射单元数目配置
报告摘要：
近年来智能反射面辅助通信作为6G中极有可能被采用的技术，受到了来自学术界和工业界研究人员的极大关注。在这次报告中，我们首先介绍智能反射面辅助通信的基本原理和背景知识，接下来主要回答两个问题：1）在带宽受限的反馈信道中，如何有效地压缩接收端计算得到的相移信息从而在智能反射面中准确地恢复？2）在保证一定的能效和传输速率的前提下，如何有效地配置反射单元数目？
章嘉懿 北京交通大学
报告嘉宾
报告四
报告题目：轨道交通场景智能超表面应用关键技术
报告摘要：
作为极具发展潜力的5G-Adv和6G关键技术之一，智能超表面（RIS）具有低成本、低复杂度和易于部署等特点，为发展轨道交通场景通信提供了新的机遇。首先，介绍RIS辅助的轨道交通场景通信的典型应用，包括抑制多普勒频移效应、解决频繁切换问题、克服高穿透损耗问题和支持高精度列车定位。其次，讨论RIS辅助的轨道交通场景通信中的关键技术，包括网络架构与部署、信道测量与建模、信道估计与反馈、波束赋形等。最后，智能轨道交通场景与RIS构建的电磁新基建的结合，未来将会给智能轨道交通带来广阔的技术及产业前景。
张顺 西安电子科技大学
报告嘉宾
报告五
报告题目：超表面辅助通信智能信道外推研究
报告摘要：
报告关注RIS辅助通信中的信道外推技术。介绍RIS通信关键信号处理问题以及挑战，阐述智能信道外推基本原理以及框架，切合差异化RIS硬件结构给出RIS信道以及波束智能外推方案，展示RIS辅助通信平台并讨论未来研究方向。
徐勇军 重庆邮电大学
报告嘉宾兼主持人
报告六
报告题目：RIS-Enhanced WPCNs: Joint Radio Resource Allocation and Passive Beamforming Optimization
报告摘要：
Wireless-powered communication and reconfigurable intelligent surface (RIS) can complement each other for increasing energy utilization and spectrum efficiency by reconfiguring the surrounding radio environment, however, which has not been sufficiently studied by the existing works. In this paper, we propose a joint radio resource and passive beamforming optimization scheme for a downlink RIS-assisted wireless-powered communication network with a harvest-then-transmit protocol to improve system energy efficiency (EE). In the considered model, the single-antenna wireless devices (WDs) harvest wireless energy from a multi-antenna dedicated power station (PS) through the RIS in the downlink and transmit their independent information to a single-antenna receiver in the uplink by a time-division-multiple-access mode. Our goal is to maximize the total EE of all WDs. To make full use of the beamforming gain provided by both the PS and the RIS, we jointly optimize the active beamforming of the PS and the passive beamforming of the RIS. To deal with the challenging non-convex optimization problem with multiple coupled variables, we first consider fixing the passive beamforming, and converting the remaining radio resource allocation problem into an equivalent convex problem which is solved by using Lagrange dual theory. Then, we fix the optimized resource allocation parameters and optimize the passive beamforming of the RIS by using a semidefinite programming method. Simulation results demonstrate that the proposed algorithm achieves higher EE compared to the conventional schemes.
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