Hybrid Beamforming With a Reduced Number of Phase Shifters for Massive MIMO Systems

In this paper, two novel hybrid beamforming methods are proposed to reduce the cost and power consumption of hybrid beamformers with a subconnected phase shifter network structure in massive multiple–input multiple–output systems. This is achieved by replacing some of the phase shifters with switches, which, in general, are cheaper and have lower power consumption compared to phase shifters. The proposed methods and the closed-form expressions of their performance are derived according to the properties of the elements of the singular vectors of the channel matrix. In the first approach, it is shown that by combining the subconnected phase shifter network with a fully connected switch architecture, the number of the phase shifters can be reduced up to 50%, while the spectral efficiency is preserved. Then, in order to simplify the structure of the switch network, the fully connected switches are replaced by a subconnected switch network, e.g., binary switches. The analytical and simulation results indicate that just by using 25% of phase shifters, 90% spectral efficiency can be achieved. Finally, simulation results indicate that a similar behavior is observed when the wireless channel is considered to be sparse or correlated.

[1]  Mehrdad Dianati,et al.  Hybrid Beamforming for Large Antenna Arrays With Phase Shifter Selection , 2016, IEEE Transactions on Wireless Communications.

[2]  Robert W. Heath,et al.  Massive MIMO Combining with Switches , 2016, IEEE Wireless Communications Letters.

[3]  David James Love,et al.  Downlink Training Techniques for FDD Massive MIMO Systems: Open-Loop and Closed-Loop Training With Memory , 2013, IEEE Journal of Selected Topics in Signal Processing.

[4]  Mathini Sellathurai,et al.  Space-Time Layered Information Processing for Wireless Communications , 2009 .

[5]  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.

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

[7]  Mehrdad Dianati,et al.  Hybrid Beamforming for Downlink Massive MIMO Systems with Multiantenna User Equipment , 2017, 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall).

[8]  Fredrik Tufvesson,et al.  Delay spread properties in a measured massive MIMO system at 2.6 GHz , 2013, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[9]  Erik G. Larsson,et al.  Fundamentals of massive MIMO , 2016, SPAWC.

[10]  M. Brand,et al.  Fast low-rank modifications of the thin singular value decomposition , 2006 .

[11]  F. Tufvesson,et al.  Channel measurements and analysis for very large array systems at 2.6 GHz , 2012, 2012 6th European Conference on Antennas and Propagation (EUCAP).

[12]  Erik G. Larsson,et al.  Massive MIMO in Real Propagation Environments: Do All Antennas Contribute Equally? , 2015, IEEE Transactions on Communications.

[13]  I. S. Gradshteyn,et al.  Table of Integrals, Series, and Products , 1976 .

[14]  A. Lee Swindlehurst,et al.  A vector-perturbation technique for near-capacity multiantenna multiuser communication-part I: channel inversion and regularization , 2005, IEEE Transactions on Communications.

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

[16]  Robert W. Heath,et al.  Channel estimation and hybrid combining for mmWave: Phase shifters or switches? , 2015, 2015 Information Theory and Applications Workshop (ITA).

[17]  Mehrdad Dianati,et al.  Effective RF codebook design and channel estimation for millimeter wave communication systems , 2015, 2015 IEEE International Conference on Communication Workshop (ICCW).

[18]  Naveen Mysore Balasubramanya,et al.  Hybrid Beamforming in Frequency Selective Massive MIMO Systems: A Single-Carrier or a Multicarrier Problem? , 2017, ArXiv.

[19]  Chau Yuen,et al.  Large System Analysis of Power Normalization Techniques in Massive MIMO , 2017, IEEE Transactions on Vehicular Technology.

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

[21]  Erik G. Larsson,et al.  Multi-Switch for Antenna Selection in Massive MIMO , 2014, 2015 IEEE Global Communications Conference (GLOBECOM).

[22]  Chau Yuen,et al.  Reducing the Computational Complexity of Multicasting in Large-Scale Antenna Systems , 2017, IEEE Transactions on Wireless Communications.

[23]  S.S. Wong,et al.  Integrated CMOS transmit-receive switch using LC-tuned substrate bias for 2.4-GHz and 5.2-GHz applications , 2004, IEEE Journal of Solid-State Circuits.

[24]  Antonia Maria Tulino,et al.  Random Matrix Theory and Wireless Communications , 2004, Found. Trends Commun. Inf. Theory.

[25]  C.E. Saavedra,et al.  An Ultra-Compact CMOS Variable Phase Shifter for 2.4-GHz ISM Applications , 2008, IEEE Transactions on Microwave Theory and Techniques.