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20142026
most citedSpatially Common Sparsity Based Adaptive Channel Estimation and Feedback for FDD Massive MIMO

528 citations · 3.2k across the 54 of their papers we have counts for

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Showing 2016Show all

5 papers · 1 filter

cs.IT2016★ 40 cited

Channel Estimation for mmWave Massive MIMO Based Access and Backhaul in Ultra-Dense Network

Zhen Gao, Linglong Dai, Zhaocheng Wang

Millimeter-wave (mmWave) massive MIMO used for access and backhaul in ultra-dense network (UDN) has been considered as the promising 5G technique. We consider such an heterogeneous…

cs.IT2016★ 3 cited

On the Performance of Channel Statistics-Based Codebook for Massive MIMO

Wenqian Shen, Linglong Dai, Yu Zhang +1

The channel feedback overhead for massive MIMO systems with a large number of base station (BS) antennas is very high, since the number of feedback bits of traditional codebooks sc…

cs.IT2016★ 528 cited

Spatially Common Sparsity Based Adaptive Channel Estimation and Feedback for FDD Massive MIMO

Zhen Gao, Linglong Dai, Zhaocheng Wang +1

This paper proposes a spatially common sparsity based adaptive channel estimation and feedback scheme for frequency division duplex based massive multi-input multi-output (MIMO) sy…

cs.IT2016★ 360 cited

Channel Estimation for Millimeter-Wave Massive MIMO with Hybrid Precoding over Frequency-Selective Fading Channels

Zhen Gao, Linglong Dai, Chen Hu +1

Channel estimation for millimeter-wave (mmWave) massive MIMO with hybrid precoding is challenging, since the number of radio frequency (RF) chains is usually much smaller than that…

cs.IT2016★ 35 cited

Near-Optimal Signal Detector Based on Structured Compressive Sensing for Massive SM-MIMO

Zhen Gao, Linglong Dai, Chenhao Qi +2

Massive spatial modulation (SM)-MIMO, which employs massive low-cost antennas but few power-hungry transmit radio frequency (RF) chains at the transmitter, is recently proposed to…