| 配分額 *注記 |
4,680千円 (直接経費: 3,600千円、間接経費: 1,080千円)
2024年度: 650千円 (直接経費: 500千円、間接経費: 150千円)
2023年度: 1,430千円 (直接経費: 1,100千円、間接経費: 330千円)
2022年度: 1,430千円 (直接経費: 1,100千円、間接経費: 330千円)
2021年度: 1,170千円 (直接経費: 900千円、間接経費: 270千円)
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| 研究開始時の研究の概要 |
Conventional multiuser MIMO with Gaussian input, IID channel or a few users has been well studied. However, these conditions are not satisfied in the practical wireless communications. Generalized multiuser MIMO with non-Gaussian input, non-IID channel and massive users is far from sloved, and will be the key scenario of the wireless communication beyond 5G. This project will derive a calculable capacity expression and provide a low-complexity capacity-achieving scheme for GMU-MIMO. This project will offer low-cost and high-spectral-efficiency solutions to the future cellular system.
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| 研究実績の概要 |
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.
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