Hybrid Precoders and Combiners for mmWave MIMO Systems with Per-Antenna Power Constraints

This paper considers the design of hybrid precoders and combiners for mmWave MIMO systems with per-antenna power constraints and the additional limitations introduced by the phase-shifting network in the analog processing stage. Previous hybrid designs were obtained using a total power constraint, but in practical implementations per-antenna constraints are more realistic, specially at mmWave, given the large number of power amplifiers used in the transmit array. Assuming perfect channel knowledge, we obtain first an approximation to the alldigital solution for the precoder and the combiner given the per-antenna constraints. Then, we develop a new method for the design of the hybrid precoder and combiner which attempts to match such all- digital approximation. Simulation results show the effectiveness of the proposed approach, which performs close to the all-digital solution.

[1]  P. P. Vaidyanathan,et al.  MIMO Transceiver Optimization With Linear Constraints on Transmitted Signal Covariance Components , 2010, IEEE Transactions on Signal Processing.

[2]  Edin Zhang,et al.  On Achieving Optimal Rate of Digital Precoder by RF-Baseband Codesign for MIMO Systems , 2014, 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall).

[3]  W. Yu,et al.  Downlink beamforming with per-antenna power constraints , 2005, IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005..

[4]  Robert W. Heath,et al.  Low complexity hybrid sparse precoding and combining in millimeter wave MIMO systems , 2015, 2015 IEEE International Conference on Communications (ICC).

[5]  Zhouyue Pi,et al.  Optimal MIMO transmission with per-antenna power constraints , 2012, GLOBECOM.

[6]  Chiao-En Chen,et al.  An Iterative Hybrid Transceiver Design Algorithm for Millimeter Wave MIMO Systems , 2015, IEEE Wireless Communications Letters.

[7]  Songtao Lu,et al.  Beamforming for Per-Antenna Power Constrained Downlink SINR Optimization , 2010, 2010 IEEE 71st Vehicular Technology Conference.

[8]  John M. Cioffi,et al.  Joint Tx-Rx beamforming design for multicarrier MIMO channels: a unified framework for convex optimization , 2003, IEEE Trans. Signal Process..

[9]  H. Witsenhausen.  A Determinant Maximization Problem Occurring in the Theory of Data Communication , 1975 .

[10]  P. Stoica,et al.  MIMO transmit beamforming under uniform elemental power constraint , 2007, SPAWC 2007.

[11]  Mai H. Vu,et al.  MIMO Capacity with Per-Antenna Power Constraint , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

[12]  Jaspreet Singh,et al.  On the Feasibility of Codebook-Based Beamforming in Millimeter Wave Systems With Multiple Antenna Arrays , 2015, IEEE Transactions on Wireless Communications.

[13]  Minhyun Kim,et al.  MSE-Based Hybrid RF/Baseband Processing for Millimeter-Wave Communication Systems in MIMO Interference Channels , 2015, IEEE Transactions on Vehicular Technology.

[14]  Robert W. Heath,et al.  MIMO Precoding and Combining Solutions for Millimeter-Wave Systems , 2014, IEEE Communications Magazine.

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

[16]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[17]  Robert W. Heath,et al.  An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems , 2015, IEEE Journal of Selected Topics in Signal Processing.

[18]  Wei Yu,et al.  Hybrid digital and analog beamforming design for large-scale MIMO systems , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[19]  Robert W. Heath,et al.  Dictionary-free hybrid precoders and combiners for mmWave MIMO systems , 2015, 2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).