In frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO)
systems, the overhead of downlink channel estimation is complex in terms of the pilot …

摘要针对现有的远场和近场信道估计方案不能直接用于精确估计混合场信道状态信息的问题ꎬ
提出了一种有效的基于压缩采样匹配追踪(compression sampling matching pursuitꎬ …

Massive multiple input multiple output (MIMO) is a promising technology that can enhance
the wireless communication capacity due to increased degrees of freedom. To fully utilize …

Two-stage beamforming is a transmit strategy that uses two types of beamformers to reduce
the feedback overhead of frequency-division-duplexing massive multiple-input multiple …

Massive multiple‐input–multiple‐output (MIMO) emerges as a promising technology to meet
the ever growing demand on a large volume of data transmission in an energy efficient …

The downlink channel estimation techniques in FDD (frequency-division-duplex) massive
MIMO (multiple-input multiple-output) systems rely upon the spatial reciprocity to obtain the …

This paper proposes a time-frequency joint channel estimation method based on structured
compression sensing (SCS) for multi-input and multi-output orthogonal frequency division …

A new adaptive channel estimation algorithm for large-scale multiple input multiple output
(MIMO) systems is proposed by combining the block sparsity adaptive matching pursuit …

Structured Compression Sensing (SCS) is a relatively new subject that has piqued the
curiosity of wireless communication systems. The time-frequency joint channel estimation …

With the number of antennas and users increases significantly, and the complexity of
channel estimation and pilot overhead increase continuously in Massive MIMO systems. To …