Performance Analysis of Linear Precoded MU-MIMO-OFDM Systems With Nonlinear Power Amplifiers and Correlated Channel

In this paper, we investigate the effect of power amplifier (PA) nonlinearity on a multi user multiple-input multiple-output orthogonal frequency division multiplexing (MU-MIMO-OFDM) system where the base station (BS) uses linear precoding to transmit data for single antenna users through a correlated channel. The signal to distortion, interference and noise ratio is derived for any order of PA nonlinearity. Our analysis shows that a correlated channel can result in correlated distortions at the output of PAs which increase the received distortion power of users. Approximations for the ergodic achievable rate of the users are provided when the BS transmits data through a correlated channel using maximum ratio transmission or zero forcing precodings and number of BS antennas and users are large. Also, closed form approximations for the ergodic achievable sum rate of the system are provided when the channel is not correlated. The simulation results agree with the derived approximations even when the number of transmit antennas and users are relatively small. The approximations can be used to find the achievable sum rate maximizing number of users or transmit power of the system.

[1]  Mikko Valkama,et al.  Analysis and Rate Optimization of OFDM-Based Cognitive Radio Networks Under Power Amplifier Nonlinearity , 2014, IEEE Transactions on Communications.

[2]  Zixiang Xiong,et al.  Code design for MIMO broadcast channels , 2009, IEEE Transactions on Communications.

[3]  Emil Björnson,et al.  Performance Analysis of Multi-User Massive MIMO Downlink Under Channel Non-Reciprocity and Imperfect CSI , 2016, IEEE Transactions on Communications.

[4]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..

[5]  Raviv Raich,et al.  Spectral Analysis of Polynomial Nonlinearity with Applications to RF Power Amplifiers , 2004, EURASIP J. Adv. Signal Process..

[6]  Erik G. Larsson,et al.  Energy and Spectral Efficiency of Very Large Multiuser MIMO Systems , 2011, IEEE Transactions on Communications.

[7]  Thomas L. Marzetta,et al.  Performance of Conjugate and Zero-Forcing Beamforming in Large-Scale Antenna Systems , 2013, IEEE Journal on Selected Areas in Communications.

[8]  Vivek Ashok Bohara,et al.  Analytical Characterization of Dual-Band Multi-User MIMO-OFDM System With Nonlinear Transmitter Constraints , 2018, IEEE Transactions on Communications.

[9]  Paolo Banelli,et al.  Theoretical analysis and performance of OFDM signals in nonlinear fading channels , 2003, IEEE Trans. Wirel. Commun..

[10]  Christian Fager,et al.  Complexity analysis of power amplifier behavioral models , 2010, 2010 Workshop on Integrated Nonlinear Microwave and Millimeter-Wave Circuits.

[11]  Fredrik Tufvesson,et al.  Impact of Power Amplifier Nonlinearities in Multi-User Massive MIMO Downlink , 2015, 2015 IEEE Globecom Workshops (GC Wkshps).

[12]  Mairtin O'Droma,et al.  A Practical Analysis of Performance Optimization in OSTBC Based Nonlinear MIMO-OFDM Systems , 2014, IEEE Transactions on Communications.

[13]  Stefan Parkvall,et al.  NR - The New 5G Radio-Access Technology , 2017, 2018 IEEE 87th Vehicular Technology Conference (VTC Spring).

[14]  Navrati Saxena,et al.  Next Generation 5G Wireless Networks: A Comprehensive Survey , 2016, IEEE Communications Surveys & Tutorials.

[15]  Sofie Pollin,et al.  Finite Large Antenna Arrays for Massive MIMO: Characterization and System Impact , 2017, IEEE Transactions on Antennas and Propagation.

[16]  D. Brillinger Time series - data analysis and theory , 1981, Classics in applied mathematics.

[17]  Zhi Ding,et al.  Linear Precoding for MIMO Broadcast Channels With Finite-Alphabet Constraints , 2012, IEEE Transactions on Wireless Communications.

[18]  Muriel Médard,et al.  The effect upon channel capacity in wireless communications of perfect and imperfect knowledge of the channel , 2000, IEEE Trans. Inf. Theory.

[19]  Matteo Trivellato,et al.  A near-optimum precoding technique for downlink multi-user MIMO transmissions , 2009 .

[20]  Abdolali Abdipour,et al.  Analytical Modeling of MIMO-OFDM System in the Presence of Nonlinear Power Amplifier with Memory , 2013, IEEE Transactions on Communications.

[21]  Emil Björnson,et al.  Massive MIMO: ten myths and one critical question , 2015, IEEE Communications Magazine.

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

[23]  Andrea J. Goldsmith,et al.  On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming , 2006, IEEE Journal on Selected Areas in Communications.

[24]  Giuseppe Caire,et al.  Performance Analysis of Massive MIMO for Cell-Boundary Users , 2013, IEEE Transactions on Wireless Communications.

[25]  Shlomo Shamai,et al.  On the achievable throughput of a multiantenna Gaussian broadcast channel , 2003, IEEE Transactions on Information Theory.

[26]  Robert W. Heath,et al.  Shifting the MIMO Paradigm , 2007, IEEE Signal Processing Magazine.

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

[28]  Mérouane Debbah,et al.  Large System Analysis of Linear Precoding in Correlated MISO Broadcast Channels Under Limited Feedback , 2009, IEEE Transactions on Information Theory.

[29]  Jaehyeong Kim,et al.  A Generalized Memory Polynomial Model for Digital Predistortion of RF Power Amplifiers , 2006, IEEE Transactions on Signal Processing.

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

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

[32]  Emil Björnson,et al.  Performance Limits of MIMO Systems with Nonlinear Power Amplifiers , 2014, 2015 IEEE Global Communications Conference (GLOBECOM).

[33]  Andrea J. Goldsmith,et al.  Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels , 2003, IEEE Trans. Inf. Theory.

[34]  Muhammad Ali Imran,et al.  5G Backhaul Challenges and Emerging Research Directions: A Survey , 2016, IEEE Access.

[35]  Raviraj S. Adve,et al.  Distributed Massive MIMO Systems With Non-Reciprocal Channels: Impacts and Robust Beamforming , 2018, IEEE Transactions on Communications.

[36]  David Tse,et al.  Sum capacity of the vector Gaussian broadcast channel and uplink-downlink duality , 2003, IEEE Trans. Inf. Theory.

[37]  AKHIL GUPTA,et al.  A Survey of 5G Network: Architecture and Emerging Technologies , 2015, IEEE Access.

[38]  Thomas L. Marzetta,et al.  Massive MIMO: An Introduction , 2015, Bell Labs Technical Journal.

[39]  John M. Cioffi,et al.  Spatio-temporal coding for wireless communication , 1998, IEEE Trans. Commun..

[40]  Tharmalingam Ratnarajah,et al.  Large-Scale MIMO Transmitters in Fixed Physical Spaces: The Effect of Transmit Correlation and Mutual Coupling , 2013, IEEE Transactions on Communications.

[41]  John G. Proakis,et al.  Digital Signal Processing: Principles, Algorithms, and Applications , 1992 .

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

[43]  W. C. Jakes,et al.  Microwave Mobile Communications , 1974 .

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

[45]  Vivek Ashok Bohara,et al.  A Nonlinear Downlink Multiuser MIMO-OFDM Systems , 2017, IEEE Wireless Communications Letters.

[46]  Dov Wulich,et al.  MIMO–OFDM With Nonlinear Power Amplifiers , 2015, IEEE Transactions on Communications.