Impact of residual transceiver impairments on MMSE filtering performance of Rayleigh-product MIMO channels

Recent studies have demonstrated the presence of residual transceiver hardware impairments even after employing calibration and compensation techniques in different wireless systems. The effect of these impairments becomes more severe in the systems involving a large number of inexpensive Radio Frequency (RF) chains such as massive Multiple Input Multiple Output (MIMO) systems due to the requirement of cost-efficient implementation. However, most of the existing studies consider ideal transceivers without incorporating the effect of residual hardware impairments. In this regard, this paper studies the impact of additive residual transceiver hardware impairments on the Minimum Mean Square Error (MMSE) filtering performance of Rayleigh-Product (RP) MIMO channels. Using principles from Random Matrix Theory (RMT), the MMSE filtering performance of the RP channels is analyzed and a tight lower bound is derived by taking the effects of residual additive transceiver impairments into account. Moreover, some useful insights on the performance of the considered system with respect to various parameters such as the transmit Signal to Noise Ratio (SNR), the number of scatterers and the severity of impairments on both the transmit and receive sides are provided.

[1]  Tharmalingam Ratnarajah,et al.  Impact of transceiver hardware impairments on the ergodic channel capacity for Rayleigh-product MIMO channels , 2016, 2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[2]  Reinaldo A. Valenzuela,et al.  Keyholes, correlations, and capacities of multielement transmit and receive antennas , 2002, IEEE Trans. Wirel. Commun..

[3]  Emil Björnson,et al.  Queen ' s University Belfast-Research Portal On the MIMO Capacity with Residual Transceiver Hardware Impairments , 2016 .

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

[5]  J. Lasserre A trace inequality for matrix product , 1995, IEEE Trans. Autom. Control..

[6]  Vahid Tarokh,et al.  Transmit beamforming in Rayleigh product MIMO channels: Ergodic mutual information and symbol error rate , 2016, 2016 IEEE International Conference on Communications (ICC).

[7]  Preben E. Mogensen,et al.  A stochastic MIMO radio channel model with experimental validation , 2002, IEEE J. Sel. Areas Commun..

[8]  Sergio Verdu,et al.  Multiuser Detection , 1998 .

[9]  Matthew R. McKay,et al.  Transmit Beamforming in Rayleigh Product MIMO Channels: Capacity and Performance Analysis , 2008, IEEE Transactions on Signal Processing.

[10]  Emil Björnson,et al.  Multi-cell massive MIMO performance with double scattering channels , 2016, 2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD).

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

[12]  Symeon Chatzinotas,et al.  Impact of Transceiver Impairments on the Capacity of Dual-Hop Relay Massive MIMO Systems , 2015, 2015 IEEE Globecom Workshops (GC Wkshps).

[13]  Symeon Chatzinotas MMSE Filtering Performance of Dual-Hop Amplify-and-Forward Multiple-Access Channels , 2013, IEEE Wireless Communications Letters.

[14]  J. W. Silverstein,et al.  On the empirical distribution of eigenvalues of a class of large dimensional random matrices , 1995 .

[15]  Antti Toskala,et al.  LTE for UMTS: Evolution to LTE-Advanced , 2011 .

[16]  Emil Björnson,et al.  Capacity Limits and Multiplexing Gains of MIMO Channels with Transceiver Impairments , 2012, IEEE Communications Letters.

[17]  Hyundong Shin,et al.  On the capacity of doubly correlated MIMO channels , 2005, IEEE Transactions on Wireless Communications.

[18]  Erik G. Larsson,et al.  Massive MIMO for next generation wireless systems , 2013, IEEE Communications Magazine.

[19]  Symeon Chatzinotas,et al.  MMSE filtering performance of DH-AF massive MIMO relay systems with residual transceiver impairments , 2016, 2016 IEEE International Conference on Communications Workshops (ICC).

[20]  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.

[21]  Hyundong Shin,et al.  Capacity of multiple-antenna fading channels: spatial fading correlation, double scattering, and keyhole , 2003, IEEE Trans. Inf. Theory.

[22]  Caijun Zhong,et al.  Performance of Rayleigh-Product MIMO Channels with Linear Receivers , 2014, IEEE Transactions on Wireless Communications.