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20162023
most citedHierarchical Codebook based Multiuser Beam Training for Millimeter Wave Massive MIMO

138 citations · 284 across the 23 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

eess.SP2019

Precoding Design for Energy Efficiency of Multibeam Satellite Communications

Chenhao Qi, Xin Wang

Instead of merely improving the spectral efficiency (SE), improving the energy efficiency (EE) is another important concern for multibeam satellite systems, due to the power constr…

eess.SP2019

Beamspace Channel Estimation for Millimeter Wave Massive MIMO System with Hybrid Precoding and Combining

Wenyan Ma, Chenhao Qi

In this paper, a framework of beamspace channel estimation in millimeter wave (mmWave) massive MIMO system is proposed. The framework includes the design of hybrid precoding and co…

eess.SP2019

Beam Training based on Dynamic Hierarchical Codebook for Millimeter Wave Massive MIMO

Kangjian Chen, Chenhao Qi

Beam training based on hierarchical codebook for millimeter wave (mmWave) massive MIMO is investigated. Unlike the existing work using the same hierarchical codebook to estimate di…

eess.SP2019

Codeword Selection and Hybrid Precoding for Multiuser Millimeter Wave Massive MIMO Systems

Xuyao Sun, Chenhao Qi

Aiming at maximizing the achievable sum-rate of wideband multiuser mmWave massive MIMO systems, the hybrid precoding is studied. Since each computation of the achievable sum-rate c…

eess.SP2019

Beam Training and Allocation for Multiuser Millimeter Wave Massive MIMO Systems

Xuyao Sun, Chenhao Qi, Geoffrey Ye Li

We investigate beam training and allocation for multiuser millimeter wave massive MIMO systems. An orthogonal pilot based beam training scheme is first developed to reduce the numb…