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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

基本信息

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

项目摘要

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.

我们突破了AMP的矩阵限制和正交/矢量AMP的高复杂度限制，首次建立了一个通用的MAMP框架，提出了一种低复杂度和最小均方误差(MMSE)的最优MAMP算法(见[1])。基于匹配前向纠错编码[2]设计了一种编码的OAMP，它达到了具有右酉不变性矩阵和非高斯信号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地描述GMU-MIMO的容量，并综合考虑了编码、调制、检测和译码，设计了一个容量最优的收发机。我们设计了一个基于OAMP/VAMP的实用框架来实现GMU-MIMO的总和容量[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篇物联网期刊和1篇访问)，以及3篇IEEE iSIT会议论文。[2]《OAMP的容量最优化：超越IID感测矩阵和高斯信令》，arxiv：2108.08503,2021年。[3]《约束容量最优广义多用户MIMO：一个理论和实践框架》，IEEE TCOM，2022年12月。