期刊论文

Lu, Wei

英文

IEEE ACCESS

2169-3536

2019

7

86964-86978

10.1109/ACCESS.2019.2926790

This work was supported in part by the National Science Foundation of China under Grant 61601509 and Grant 61601334, in part by the China Postdoctoral Science Foundation under Grant 2016M603045 and Grant 2018M632889, in part by the Fundamental Research Funds for the Central Universities under Grant CCNU18QN007, and in part by the MOE (Ministry of Education in China) Project of Humanities and Social Science under Grant 19YJC880068.

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We propose a weighted l-{p} minimization method for downlink channel estimation in frequency division duplexing massive multiple-input multiple-output (MIMO) systems. The proposed algorithm involves two stages, in which it first diagnoses the downlink supports by utilizing the channel sparsity in angular domain and angular reciprocity for uplink and downlink channels. In stage two, a weighted l-{p} minimization algorithm based on the diagnosed supports is used for downlink channel estimation. The diagnosed supports are used for generating the w...