Impact of hardware impairments on mmWave MIMO systems with hybrid precoding

A notable commonality in the existing studies on millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems is the assumption of perfect hardware during communication. However, this is a strong hypothesis since residual tranceiver hardware impairments (RTHIs) are inevitable in reality. Hence, this paper proposes a mmWave MIMO system that generalizes the state of the art by considering the inevitable RTHIs. We shed light on the impact of three major hardware impairments, namely, the multiplicative phase noise (PN), the amplified thermal noise (ATN), and the residual additive transceiver hardware impairments (RATHIs). In particular, we derive the spectral efficiency of the system under the presence of RTHIs. Additionally, we provide a detailed analysis to quantify the degradation caused to the spectral efficiency of the system by each separate impairment. Among the noteworthy outcomes is that the multiplicative PN is the most critical of the three impairments. Furthermore, we verify that the merits of the mmWave MIMO system are improved in line with large MIMO, which needs to be deployed in a cost-efficient manner.

[1]  Robert W. Heath,et al.  Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems , 2014, IEEE Transactions on Wireless Communications.

[2]  Tharmalingam Ratnarajah,et al.  Impact of Residual Additive Transceiver Hardware Impairments on Rayleigh-Product MIMO Channels With Linear Receivers: Exact and Asymptotic Analyses , 2018, IEEE Transactions on Communications.

[3]  Tharmalingam Ratnarajah,et al.  Rate-Splitting to Mitigate Residual Transceiver Hardware Impairments in Massive MIMO Systems , 2017, IEEE Transactions on Vehicular Technology.

[4]  Andreas Peter Burg,et al.  MIMO transmission with residual transmit-RF impairments , 2010, 2010 International ITG Workshop on Smart Antennas (WSA).

[5]  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..

[6]  Emil Björnson,et al.  Massive MIMO Systems With Non-Ideal Hardware: Energy Efficiency, Estimation, and Capacity Limits , 2013, IEEE Transactions on Information Theory.

[7]  Tharmalingam Ratnarajah,et al.  Downlink MIMO HCNs With Residual Transceiver Hardware Impairments , 2016, IEEE Communications Letters.

[8]  Wolfgang Rave,et al.  Impact of Major RF Impairments on mm-Wave Communications Using OFDM Waveforms , 2016, 2016 IEEE Globecom Workshops (GC Wkshps).

[9]  Anastasios K. Papazafeiropoulos Downlink Performance of Massive MIMO under General Channel Aging Conditions , 2014, 2015 IEEE Global Communications Conference (GLOBECOM).

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

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

[12]  Tharmalingam Ratnarajah,et al.  Toward a Realistic Assessment of Multiple Antenna HCNs: Residual Additive Transceiver Hardware Impairments and Channel Aging , 2017, IEEE Transactions on Vehicular Technology.

[13]  Joel A. Tropp,et al.  Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit , 2007, IEEE Transactions on Information Theory.

[14]  Symeon Chatzinotas,et al.  Ergodic Capacity Analysis of AF DH MIMO Relay Systems With Residual Transceiver Hardware Impairments: Conventional and Large System Limits , 2017, IEEE Transactions on Vehicular Technology.

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

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

[17]  Anastasios K. Papazafeiropoulos,et al.  Towards a Realistic Assessment of Multiple Antenna HCNs: Residual Additive Transceiver Hardware Impairments and Channel Ageing , 2017 .

[18]  Christian Fager,et al.  On the impact of hardware impairments on massive MIMO , 2014, 2014 IEEE Globecom Workshops (GC Wkshps).