Gram-Schmidt orthogonalisation aided hybrid precoding in millimetre-wave massive MIMO systems

The authors introduce a novel hybrid precoding algorithm based on Gram-Schmidt orthogonalisation (GSO) in millimetre-wave massive MIMO systems. Specifically, the columns of array response matrix orthogonalised by the GSO process are considered as a set of candidate analogue precoders, then traditional orthogonal matching pursuit (OMP) is utilised to find the optimal analogue and digital precoders. Since GSO is a recursive process that depends on the order in which the matrix columns are selected. A heuristic solution to the order of columns selection is suggested according to the array response vector along which the fully-digital precoder has the maximum projection. The proposed algorithm, not only constrained to uniform linear arrays, can avoid the matrix inversion in designing the digital precoder compared to OMP. Simulation results show that the spectral efficiency and bit error rate of the proposed hybrid precoding solutions are close to that obtained with fully digital architectures. Furthermore, the results indicate that the proposed hybrid precoding solutions outperform the orthogonality-based matching pursuit, which uses the columns of the DFT matrix as a set of candidate analogue precoders.

[1]  Xiaodai Dong,et al.  5G Cellular User Equipment: From Theory to Practical Hardware Design , 2017, IEEE Access.

[2]  A.F. Molisch,et al.  Variable-phase-shift-based RF-baseband codesign for MIMO antenna selection , 2005, IEEE Transactions on Signal Processing.

[3]  Xiaodai Dong,et al.  Low-Complexity Hybrid Precoding in Massive Multiuser MIMO Systems , 2014, IEEE Wireless Communications Letters.

[4]  Andreas F. Molisch,et al.  Channel Statistics-Based RF Pre-Processing with Antenna Selection , 2006, IEEE Transactions on Wireless Communications.

[5]  Thomas L. Marzetta,et al.  Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas , 2010, IEEE Transactions on Wireless Communications.

[6]  Ahmed Iyanda Sulyman,et al.  Hybrid Precoding-Beamforming Design With Hadamard RF Codebook for mmWave Large-Scale MIMO Systems , 2017, IEEE Access.

[7]  A. Lee Swindlehurst,et al.  Millimeter-wave massive MIMO: the next wireless revolution? , 2014, IEEE Communications Magazine.

[8]  Theodore S. Rappaport,et al.  Millimeter Wave Mobile Communications for 5G Cellular: It Will Work! , 2013, IEEE Access.

[9]  Erik G. Larsson,et al.  Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays , 2012, IEEE Signal Process. Mag..

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

[11]  Khaled Ben Letaief,et al.  Alternating Minimization Algorithms for Hybrid Precoding in Millimeter Wave MIMO Systems , 2016, IEEE Journal of Selected Topics in Signal Processing.

[12]  Theodore S. Rappaport,et al.  Propagation Models and Performance Evaluation for 5G Millimeter-Wave Bands , 2018, IEEE Transactions on Vehicular Technology.

[13]  Robert W. Heath,et al.  Low Complexity Hybrid Precoding Strategies for Millimeter Wave Communication Systems , 2016, IEEE Transactions on Wireless Communications.

[14]  Xiaodai Dong,et al.  Hybrid Block Diagonalization for Massive Multiuser MIMO Systems , 2015, IEEE Transactions on Communications.

[15]  Alle-Jan van der Veen,et al.  Analog Beamforming in MIMO Communications With Phase Shift Networks and Online Channel Estimation , 2010, IEEE Transactions on Signal Processing.

[16]  Luc Vandendorpe,et al.  On the Number of RF Chains and Phase Shifters, and Scheduling Design With Hybrid Analog–Digital Beamforming , 2014, IEEE Transactions on Wireless Communications.

[17]  Robert W. Heath,et al.  Frequency Selective Hybrid Precoding for Limited Feedback Millimeter Wave Systems , 2015, IEEE Transactions on Communications.

[18]  Pierluigi Salvo Rossi,et al.  Massive MIMO for Decentralized Estimation of a Correlated Source , 2016, IEEE Transactions on Signal Processing.

[19]  Xuehua Li,et al.  Hybridly Connected Structure for Hybrid Beamforming in mmWave Massive MIMO Systems , 2018, IEEE Transactions on Communications.

[20]  Kyungwhoon Cheun,et al.  Millimeter-wave beamforming as an enabling technology for 5G cellular communications: theoretical feasibility and prototype results , 2014, IEEE Communications Magazine.

[21]  Rahim Tafazolli,et al.  Low-Complexity and Robust Hybrid Beamforming Design for Multi-Antenna Communication Systems , 2018, IEEE Transactions on Wireless Communications.

[22]  Wei Yu,et al.  Hybrid Digital and Analog Beamforming Design for Large-Scale Antenna Arrays , 2016, IEEE Journal of Selected Topics in Signal Processing.

[23]  Robert W. Heath,et al.  Energy-Efficient Hybrid Analog and Digital Precoding for MmWave MIMO Systems With Large Antenna Arrays , 2015, IEEE Journal on Selected Areas in Communications.

[24]  Shuangfeng Han,et al.  Large-scale antenna systems with hybrid analog and digital beamforming for millimeter wave 5G , 2015, IEEE Communications Magazine.

[25]  Robert W. Heath,et al.  Dynamic Subarrays for Hybrid Precoding in Wideband mmWave MIMO Systems , 2016, IEEE Transactions on Wireless Communications.

[26]  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.