Capacity-Achieving Encoding, Detection and Decoding in Generalized Multiuser Multiple-Input-Multiple-Output Wireless Communication Beyond 5G

5G 之外的通用多用户多输入多输出无线通信中的容量实现编码、检测和解码

• 批准号: 21K14156
• 负责人: LIU Lei
• 金额: $ 3万
• 依托单位: Japan Advanced Institute of Science and Technology
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Early-Career Scientists
• 财政年份: 2021
• 资助国家: 日本
• 起止时间: 2021-04-01 至 2023-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-21K14156/
• 关键词: Message Passing; Capacity Optimality; Channel Coding; Low Complexity; MMSE Optimality; Joint Detection-Decoding; Capacity optimal; Coded linear systems; Memory AMP; Low complexity; Encoding; Iterative detection; Decoding; Compressed sensing /

We made a major breakthrough in the matrix limitation of AMP and high-complexity limitation of orthogonal/vector AMP, firstly built a universal MAMP framework and proposed a low-complexity and minimum mean square error (MMSE)-optimal MAMP algorithm (see [1]). A coded OAMP is designed based on matched FEC coding [2], which achieves the information-theoretic limit of a large linear system with a right-unitarily-invariant matrix and non-Gaussian signaling. To address the above challenges in GMU-MIMO, we proposed a unified framework to accurately characterize the capacity and design a capacity optimal transceiver of GMU-MIMO, jointly considering encoding, modulation, detection, and decoding. We design a practical framework based on OAMP/VAMP to achieve the sum capacity of GMU-MIMO [3]. We published 5 IEEE journal papers (including 1 TIT, 1 TSP, 1 TCOM, 1 IoT Journal and 1 Access), and 3 IEEE ISIT conference papers.[1] “Memory AMP,” IEEE TIT, 2022. [2] "Capacity optimality of OAMP: Beyond IID sensing matrices and Gaussian signaling," arXiv:2108.08503, 2021. [3] ``Constrained capacity optimal generalized multi-user MIMO: A theoretical and practical framework," IEEE TCOM, Dec. 2022.

我们在AMP的矩阵限制和正交/向量AMP的高复杂度限制方面取得了重大突破，首先构建了通用的MAMP框架，并提出了一种低复杂度和最小均方误差（MMSE）最优的MAMP算法（参见[1] ]）基于匹配FEC编码设计了编码OAMP[2]，它实现了具有右酉不变矩阵的大型线性系统的信息论极限为了解决GMU-MIMO中的上述挑战，我们提出了一个统一的框架来准确表征GMU-MIMO的容量并设计容量最优的收发器，同时考虑编码、调制、检测和解码。基于OAMP/VAMP的实用框架实现GMU-MIMO的总容量[3]，我们发表了5篇IEEE期刊论文（包括1篇TIT、1篇TSP、1篇TCOM、1篇IoT Journal和1篇IEEE期刊论文）。 1 Access），以及 3 篇 IEEE ISIT 会议论文。[1]“Memory AMP”，IEEE TIT，2022。[2]“OAMP 的容量最优性：超越 IID 传感矩阵和高斯信号”，arXiv：2108.08503，2021。[3 ] “约束最优容量广义多用户 MIMO：理论和实践框架”，IEEE TCOM， 2022 年 12 月。

项目成果

Capacity Optimality of AMP in Coded Systems

• DOI: 10.1109/tit.2021.3083748
• 发表时间: 2021-02
• 期刊: IEEE Transactions on Information Theory
• 影响因子: 2.5
• 作者: Lei Liu;C. Liang;Junjie Ma;L. Ping

Generalized Memory Approximate Message Passing for Generalized Linear Model

广义线性模型的广义记忆近似消息传递

• DOI: 10.1109/tsp.2022.3213414
• 发表时间: 2022
• 期刊: IEEE Transactions on Signal Processing
• 影响因子: 5.4
• 作者: Tian Feiyan;Liu Lei;Chen Xiaoming
• 通讯作者: Chen Xiaoming

Sufficient Statistic Memory Approximate Message Passing

• DOI: 10.48550/arxiv.2206.11674
• 发表时间: 2022-06
• 期刊: 2022 IEEE International Symposium on Information Theory (ISIT)
• 作者: Lei Liu;Shunqi Huang;B. Kurkoski

Design of Massive Unsourced Random Access over Rician Channels

莱斯频道大规模无源随机接入的设计

• 发表时间: 2021
• 作者: Feiyan Tian;Xiaoming Chen;Lei Liu;Derrick Wing Kwan Ng
• 通讯作者: Derrick Wing Kwan Ng

Memory AMP

• DOI: 10.1109/tit.2022.3186166
• 发表时间: 2020-12
• 期刊: IEEE Transactions on Information Theory
• 影响因子: 2.5
• 作者: Lei Liu;Shunqi Huang;B. Kurkoski