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Channel Estimation, Blockage Processing, and Localization for Multi-RIS Assisted OFDM Systems
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DOI：10.1109/TCOMM.2025.3622929.png)
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Abstract
En 中文
Multiple reconfigurable intelligent surfaces (Multi-RIS) can be flexibly distributed within communication systems, enabling broader applications than single-RIS assisted systems, especially in future 6G scenarios. In this article, we focus on key challenges in multi-RIS assisted orthogonal frequency division multiplexing (OFDM) systems, including channel estimation, blockage processing, and localization. To address the high-rank signals reflected by multiple RISs, we partition all the RISs into several groups and formulate a group training protocol to extract the signal components corresponding to different RIS groups. We model the signals across subcarriers as a third-order tensor and propose a canonical polyadic decomposition (CPD) algorithm for channel estimation. Then, we introduce the blockage factor into the signal model and construct several clustering-based blockage processing schemes for channel estimation. In the end, we develop an RIS-selection strategy for multi-RIS assisted localization in the presence of blockages. Simulation results demonstrate that the proposed tensor decomposition-based schemes are highly effective in multi-RIS assisted OFDM systems.
Keywords:
Multi-RIS
channel estimation
blockage processing
localization
tensor decomposition
Journal
IF:
8.3
Papers:
1.2W
Citations:
3.6W