Joint RF/baseband grouping-based codebook design for hybrid beamforming in mmWave MIMO systems

Millimeter-wave (mmWave) multiple input multiple output (MIMO) is a key technology for next-generation mobile communication. To overcome mmWave's instinctive channel limitations like serious path attenuation, beamforming is essential for communication systems. In this paper, we proposed a low-complexity hybrid codebook design algorithm for mmWave MIMO motivated by Lloyd algorithm with orthogonal mapping technique motivated by Compressive Sensing (CS). Based on the proposed hybrid codebook design, RF beamforming classification (RF-C) algorithm is later proposed with reduced search effort. This work can support large number of antennas, and achieves good performance with low computational complexity and low search overhead. Simulation results show that the proposed codebook and feedback strategy reduce the search complexity by more than 85% with less than 4% performance loss compared with related work.

[1]  Robert W. Heath,et al.  Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems , 2014, IEEE Journal of Selected Topics in Signal Processing.

[2]  Desmond P. Taylor,et al.  A Statistical Model for Indoor Multipath Propagation , 2007 .

[3]  Joel A. Tropp,et al.  Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit , 2006, Signal Process..

[4]  S. Frick,et al.  Compressed Sensing , 2014, Computer Vision, A Reference Guide.

[5]  Zhouyue Pi,et al.  An introduction to millimeter-wave mobile broadband systems , 2011, IEEE Communications Magazine.

[6]  Robert W. Heath,et al.  An overview of limited feedback in wireless communication systems , 2008, IEEE Journal on Selected Areas in Communications.

[7]  Robert W. Heath,et al.  Spatially Sparse Precoding in Millimeter Wave MIMO Systems , 2013, IEEE Transactions on Wireless Communications.