Multi-Length CSI Feedback With Ordered Finite Scalar Quantization

IF 4.4 3区计算机科学 Q2 TELECOMMUNICATIONS

IEEE Communications Letters Pub Date : 2025-06-23 DOI:10.1109/LCOMM.2025.3581951

Kosmas Liotopoulos;Nikos A. Mitsiou;Panagiotis G. Sarigiannidis;George K. Karagiannidis

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引用次数: 0

Abstract

We propose a novel, lightweight, deep-learning based model, which enables fast, multi-length channel state information (CSI) feedback. The proposed method harnesses the advantages of finite scalar quantization and ordered representation learning, to create the ordered finite scalar quantization (OFSQ) scheme, which has a simple structure, with significantly reduced complexity, while demonstrating solid CSI reconstruction ability for any desired feedback bitstream length. Our method reshapes latent vectors into sub-vectors, applies a hyperparameter-based and bounded scalar quantization, while it integrates a nested dropout layer to prioritize sub-vectors based on their importance to CSI retrieval. Simulation results confirm that the proposed scheme significantly reduces the computational complexity, as it avoids to exhaustively search the quantization codebook, while it shows an improved CSI reconstruction ability compared to state-of-the-art multi-length CSI feedback models. Therefore, OFSQ is a promising plug-in architecture, which can be paired with any autoencoder for use in wireless communication systems.

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有序有限标量量化的多长度CSI反馈

我们提出了一种新颖的、轻量级的、基于深度学习的模型，它可以实现快速的、多长度通道状态信息（CSI）反馈。该方法利用有限标量量化和有序表示学习的优点，创建了有序有限标量量化（OFSQ）方案，该方案结构简单，显著降低了复杂度，同时对任何期望的反馈比特流长度都具有可靠的CSI重建能力。我们的方法将潜在向量重塑为子向量，应用基于超参数和有界标量量化，同时集成了一个嵌套的dropout层，根据子向量对CSI检索的重要性对其进行优先级排序。仿真结果证实，该方案避免了对量化码本的彻底搜索，大大降低了计算复杂度，同时与目前最先进的多长度CSI反馈模型相比，该方案具有更好的CSI重建能力。因此，OFSQ是一种很有前途的插件架构，它可以与任何自动编码器配对，用于无线通信系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Communications Letters 工程技术-电信学

CiteScore

8.10

自引率

7.30%

发文量

590

审稿时长

2.8 months

期刊介绍： The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.