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作 者:杨锦[1] 龚婷婷 张顺[1] YANG Jin;GONG Tingting;ZHANG Shun(Xidian University,Xi'an 710071,China)
出 处:《移动通信》2023年第11期75-79,共5页Mobile Communications
基 金:国家自然科学基金“RIS辅助MIMO通信信道外推技术研究”(62271373)。
摘 要:RIS辅助MIMO通过部署大量无源反射单元,主动调控电磁波,实现无线环境可编程新范式。利用此优势的关键为高精度RIS信道获取。同时发挥RIS的电磁调控能力,利用部分RIS信道同全部RIS信道之间的确定性映射关系,提出实用的RIS信道外推框架。首先,基于电磁传播理论,拓展电磁空间重构机理,解释信道外推可行性,精准表征RIS链路电磁特性。其次,探寻电磁散射参数集合同部分RIS信道的耦合机理。以此为基础,给出基于贝叶斯统计推断和深度学习的RIS辅助MIMO信道外推方案。这些技术将极大降低信道训练开销,为RIS辅助MIMO实用化提供理论依据和技术支撑。Reconfigurable Intelligent Surface(RIS)-assisted Multiple Input Multiple Output(MIMO)systems introduce a new paradigm of wireless environment programmability by deploying a multitude of passive reflecting elements to actively manipulate electromagnetic waves.The crux of harnessing this advantage lies in the high-precision acquisition of RIS channels.Capitalizing on the electromagnetic control capabilities of RIS and the deterministic mapping relationship between partial and complete RIS channel states,we propose a pragmatic RIS channel extrapolation framework.Initially,this framework extends the principles of electromagnetic propagation theory to elucidate the feasibility of channel extrapolation and to accurately characterize the electromagnetic attributes of RIS-linked channels.Subsequently,it investigates the coupling mechanism between the electromagnetic scattering parameter set and the partial RIS channel.Grounded in these insights,we present a channel extrapolation scheme for RIS-assisted MIMO systems,underpinned by Bayesian statistical inference and deep learning.These methods promise to significantly reduce the channel training overhead,offering both theoretical and technical support for the pragmatic implementation of RIS-assisted MIMO systems.
关 键 词:RIS MIMO 电磁传播理论 贝叶斯统计推断 信道外推
分 类 号:TN929.52[电子电信—通信与信息系统]
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