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Downlink Channel Estimation in Massive Multiple-Input Multiple-Output with Correlated Sparsity by Overcomplete Dictionary and Bayesian Inference

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成果类型:
期刊论文
作者:
Lu, Wei*;Wang, Yongliang;Wen, Xiaoqiao;Peng, Shixin;Zhong, Liang
通讯作者:
Lu, Wei
作者机构:
[Lu, Wei; Wen, Xiaoqiao; Wang, Yongliang] Air Force Early Warning Acad, Wuhan 430019, Hubei, Peoples R China.
[Peng, Shixin] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.
[Zhong, Liang] China Univ Geosci, Dept Commun Syst, Wuhan 430074, Hubei, Peoples R China.
通讯机构:
[Lu, Wei] A
Air Force Early Warning Acad, Wuhan 430019, Hubei, Peoples R China.
语种:
英文
关键词:
massive MIMO;channel estimation;Bayesian inference;overcomplete dictionary
期刊:
Electronics
ISSN:
2079-9292
年:
2019
卷:
8
期:
5
页码:
473
基金类别:
National Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61601509, 61601334]; China Postdoctoral Science FoundationChina Postdoctoral Science Foundation [2016M603045, 2018M632889]; self-determined research funds of CCNU from the colleges basic research and operation of MOE [CCNU18QN007]
机构署名:
本校为其他机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
We exploited the temporal correlation of channels in the angular domain for the downlink channel estimation in a massive multiple-input multiple-output (MIMO) system. Based on the slow time-varying channel supports in the angular domain, we combined the channel support information of the downlink angular channel in the previous timeslot into the channel estimation in the current timeslot. A downlink channel estimation method based on variational Bayesian inference (VBI) and overcomplete dictionary was proposed, in which the support prior inform...

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