Deep Learning-Based Pilot Design for Multi-User Distributed Massive MIMO Systems
Deep Learning-Based Pilot Design for Multi-User Distributed Massive MIMO Systems
复制标题
基于深度学习的多用户分布式大规模 MIMO 系统试点设计
DOI：
10.1109/lwc.2019.2904229
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发表时间：
2019-03
影响因子：
6.3
通讯作者：
You Xiaohu
中科院分区：
文献类型：
--
作者：
Xu Jun;Zhu Pengcheng;Li Jiamin;You Xiaohu
This letter proposes a deep learning-based pilot design scheme to minimize the sum mean square error (MSE) of channel estimation for multi-user distributed massive multiple-input multiple-output (MIMO) systems. The pilot signal of each user is expressed as a weighted superposition of orthonormal pilot sequence basis, where the power assigned to each pilot sequence is the corresponding weight. A multi-layer fully connected deep neural network (DNN) is designed to optimize the power allocated to each pilot sequence to minimize the sum MSE, which takes the channel large-scale fading coefficients as input and outputs the pilot power allocation vector. The loss function of the DNN is defined as the sum MSE, and we leverage the unsupervised learning strategy to train the DNN. Simulation results show that the proposed scheme achieves better sum MSE performance than other methods with low complexity.
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影响因子：
10.4
作者：
You, Li;Gao, Xiqi;Peng, Yan
通讯作者：
Peng, Yan
DOI：
10.1109/lcomm.2018.2803054
发表时间：
2018-04-01
期刊：
IEEE COMMUNICATIONS LETTERS
影响因子：
--
作者：
Kim, Kwihoon;Lee, Joohyung;Choi, Junkyun
通讯作者：
Choi, Junkyun
影响因子：
12.9
作者：
Xiao-hu You;Dongmei Wang;B. Sheng;Xiqi Gao;Xinsheng Zhao;Ming Chen
通讯作者：
Xiao-hu You;Dongmei Wang;B. Sheng;Xiqi Gao;Xinsheng Zhao;Ming Chen
影响因子：
5.4
作者：
Neumann, David;Wiese, Thomas;Utschick, Wolfgang
通讯作者：
Utschick, Wolfgang
用于通道解码的迭代 BP-CNN 架构
DOI：
10.1109/jstsp.2018.2794062
发表时间：
2018-02-01
影响因子：
7.5
作者：
Liang, Fei;Shen, Cong;Wu, Feng
通讯作者：
Wu, Feng