权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

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.

我们在矩阵自适应算法的矩阵限制和正交/矢量自适应算法的高复杂度限制方面取得了重大突破，首次构建了一个通用的MAMP框架，提出了一种低复杂度、最小均方误差（MMSE）最优的MAMP算法（见[1]）。基于匹配FEC编码[2]设计了编码的OAMP，其实现了具有右酉不变矩阵和非高斯信令的大型线性系统的信息理论极限。为了解决GMU-MIMO中的上述挑战，我们提出了一个统一的框架，以准确地表征容量和设计GMU-MIMO的容量优化收发器，联合考虑编码，调制，检测和解码。我们设计了一个基于OAMP/VAMP的实用框架来实现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Access）和3篇IEEE ISIT会议论文。[1]“Memory AMP”，IEEE TIT，2022年。[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]“受限容量最优广义多用户MIMO：理论和实践框架”，IEEE TCOM，2022年12月。