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Cascaded line-of-sight channel estimation for reconfigurable intelligent surface aided multi-user uplink transmissions
Transactions on Emerging Telecommunications Technologies ( IF 2.5 ) Pub Date : 2022-09-02 , DOI: 10.1002/ett.4642
Yicheng Xu 1 , Hongyun Chu 2 , Pingping Xu 1
Affiliation  

The reconfigurable intelligent surface (RIS) is capable of remolding the wireless propagation environment, and thus it is assumed as a key technology to enable the potentials of intelligent communications. For the RIS enabled multi-user systems, channel estimation is rather challenging due to the passivity of the RIS without signal processing capability, where the channel is cascaded of the base station (BS)-RIS and the RIS-user equipments (UEs) paths. In this article, we propose an off-grid channel estimation method for the RIS enabled multi-user transmissions, exploiting the cascaded sparsity in the UEs-RIS-BS channel model. Specifically, we first reveal the cascaded sparsity, that is, the sparsity exists in the hybrid angular domains of UEs-RIS and RIS-BS separated channel. Then, we formulate the cascaded channel estimation problem as a semi-definite program using urn:x-wiley:ett:media:ett4642:ett4642-math-0001-type atomic norm minimization and extract the channel parameters using subspace resolution technologies. Simulation results show that the proposed channel estimator achieves higher performance compared with the existing art-of-states.

中文翻译:

用于可重构智能表面辅助多用户上行链路传输的级联视距信道估计

可重构智能表面(RIS)能够重塑无线传播环境,因此被认为是实现智能通信潜力的关键技术。对于启用 RIS 的多用户系统,由于 RIS 的被动性没有信号处理能力,信道估计相当具有挑战性,其中信道级联基站 (BS)-RIS 和 RIS-用户设备 (UE) 路径. 在本文中,我们提出了一种用于启用 RIS 的多用户传输的离网信道估计方法,利用了 UEs-RIS-BS 信道模型中的级联稀疏性。具体来说,我们首先揭示了级联稀疏性,即稀疏性存在于 UEs-RIS 和 RIS-BS 分离通道的混合角域中。然后,urn:x-wiley:ett:media:ett4642:ett4642-math-0001型原子范数最小化并使用子空间解析技术提取通道参数。仿真结果表明,与现有的艺术状态相比,所提出的信道估计器实现了更高的性能。
更新日期:2022-09-02
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