Reconfigurable Intelligent Surface-Aided Near-field Communications for 6G: Opportunities and Challenges
arXiv:2312.13004 · doi:10.1109/MVT.2023.3345608
Abstract
Reconfigurable intelligent surface (RIS)-aided near-field communications is investigated. First, the necessity of investigating RIS-aided near-field communications and the advantages brought about by the unique spherical-wave-based near-field propagation are discussed. Then, the family of patch-array-based RISs and metasurface-based RISs are introduced along with their respective near-field channel models. A pair of fundamental performance limits of RIS-aided near-field communications, namely their power scaling law and effective degrees-of-freedom, are analyzed for both patch-array-based and metasurface-based RISs, which reveals the potential performance gains that can be achieved. Furthermore, the associated near-field beam training and beamforming design issues are studied, where a two-stage hierarchical beam training approach and a low-complexity element-wise beamforming design are proposed for RIS-aided near-field communications. Finally, a suite of open research problems is highlighted for motivating future research.
7 pages, 7 figures, this paper was accepted for publication in IEEE Vehicular Technology Magazine
References in corpus (1)
Cited by in corpus (8)
- 6G: The Intelligent Network of Everything
- Modeling and Analysis of Near-Field ISAC
- Wideband Beamforming for RIS Assisted Near-Field Communications
- Near-Field Velocity Sensing and Predictive Beamforming
- Simultaneously Transmitting and Reflecting Surfaces for Ubiquitous Next Generation Multiple Access in 6G and Beyond
- RIS Empowered Near-Field Covert Communications
- IRS-aided Near-field Communication: Prospects and Challenges with Codebook Approach
- Cramer-Rao Bounds for Near-Field Sensing: A Generic Modular Architecture