A Scalable Framework for CSI Feedback in FDD Massive MIMO via DL Path Aligning
Xiliang Luo, Penghao Cai, Xiaoyu Zhang, Die Hu, and Cong Shen

TL;DR
This paper presents a scalable framework for efficient downlink CSI feedback in FDD massive MIMO systems by exploiting limited reciprocity of long-term channel parameters, reducing feedback overhead significantly.
Contribution
It introduces a novel DL pilot design and feedback scheme leveraging reciprocity of long-term parameters, enabling reduced-dimensionality feedback in practical wideband FDD massive MIMO systems.
Findings
Users can feed back one scalar per DL path for CSI recovery
The framework reduces feedback overhead while maintaining accurate CSI
Numerical results validate the effectiveness of the proposed method
Abstract
Unlike the time-division duplexing (TDD) systems, the downlink (DL) and uplink (UL) channels are not reciprocal anymore in the case of frequency-division duplexing (FDD). However, some long-term parameters, e.g. the time delays and angles of arrival (AoAs) of the channel paths, still enjoy reciprocity. In this paper, by efficiently exploiting the aforementioned limited reciprocity, we address the DL channel state information (CSI) feedback in a practical wideband massive multiple-input multiple-output (MIMO) system operating in the FDD mode. With orthogonal frequency-division multiplexing (OFDM) waveform and assuming frequency-selective fading channels, we propose a scalable framework for the DL pilots design, DL CSI acquisition, and the corresponding CSI feedback in the UL. In particular, the base station (BS) can transmit the FFT-based pilots with the carefully-selected phase shifts.…
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