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http://dx.doi.org/10.4218/etrij.2018-0331

Blind downlink channel estimation for TDD-based multiuser massive MIMO in the presence of nonlinear HPA  

Pasangi, Parisa (Department of Electrical Engineering, Azarbaijan Shahid Madani University)
Atashbar, Mahmoud (Department of Electrical Engineering, Azarbaijan Shahid Madani University)
Feghhi, Mahmood Mohassel (Faculty of Electrical and Computer Engineering, University of Tabriz)
Publication Information
ETRI Journal / v.41, no.4, 2019 , pp. 426-436 More about this Journal
Abstract
In time division duplex (TDD)-based multiuser massive multiple input multiple output (MIMO) systems, the uplink channel is estimated and the results are used in downlink for signal detection. Owing to noisy uplink channel estimation, the downlink channel should also be estimated for accurate signal detection. Therefore, recently, a blind method was developed, which assumes the use of a linear high-power amplifier (HPA) in the base station (BS). In this study, we extend this method to a scenario with a nonlinear HPA in the BS, where the Bussgang decomposition is used for HPA modeling. In the proposed method, the average power of the received signal for each user is a function of channel gain, large-scale fading, and nonlinear distortion variance. Therefore, the channel gain is estimated, which is required for signal detection. The performance of the proposed method is analyzed theoretically. The simulation results show superior performance of the proposed method compared to that of the other methods in the literature.
Keywords
Blind channel estimation; channel gain; flat fading; massive MIMO;
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1 J. Hoydis, S. ten Brink, and M. Debbah, Massive MIMO in the UL/DL of cellular networks: How many antennas do we need? IEEE J. Sel. Areas Commun. 31 (2013), no. 2, 160-171.   DOI
2 I. Yoffe and D. Wulich, Predistorter for MIMO system with nonlinear power amplifiers, IEEE Trans. Commun. 65 (2017), no. 8, 3288-3301.   DOI
3 J. Qi and S. Aissa, Analysis and compensation of power amplifier nonlinearity in MIMO transmit diversity systems, IEEE Trans. Veh. Technol. 59 (2010), no. 6, 2921-2931.   DOI
4 J. Guerreiro et al., Analytical performance evaluation of pre‐coding techniques for nonlinear massive MIMO Systems with channel estimation errors, IEEE Trans. Commun. 66 (2017), no. 4, 1440-1451.   DOI
5 M. Sanchez‐Fernandez et al., SVM multiregression for nonlinear channel estimation in multiple‐input multiple‐output systems, IEEE Trans. Sig. Process 52 (2004), no. 8, 2298-2307.   DOI
6 E. Bogenfeld et al., Influence on nonlinear HPA on trellis‐coded OFDM for terrestrial broadcasting of digital HDTV, in ICC'93, Houston, TX, USA, Nov. 23-Dec. 2, 1993, pp. 1433-1438.
7 A. A. M. Saleh, Frequency‐independent and frequency‐dependent nonlinear models of TWT amplifiers, IEEE Trans. Commun. 29 (1981), no. 11, 1715-1720.   DOI
8 C. Rapp, Effects of HPA‐nonlinearity on 4‐DPSK‐OFDM‐signal for a digital sound broadcasting system, in Proc. Eur. Conf. Satellite Commun, Liege, Belgium, Oct. 22-24, 1991, pp. 179-184.
9 G. Santella and F. Mazzenga, A hybrid analytical‐simulation procedure for performance evaluation in M‐QAM‐OFDM schemes in presence of nonlinear distortions, IEEE Trans. Veh. Technol. 47 (1998), no. 1, 142-151.   DOI
10 H. E. Rowe, Memoryless nonlinearities with Gaussian inputs: elementary results, Bell Syst. Tech. J. 61 (1982), no. 7, 1519-1525.   DOI
11 S. Nohn et al., Pilot beam pattern design for channel estimation in massive MIMO systems, IEEE J. Sel. Topics Signal Process. 8 (2014), no. 5, 787-801.   DOI
12 H. Q. Ngo, E. G. Larsson, and T. L. Marzetta, Energy and spectral efficiency of very large multiuser MIMO systems, IEEE Trans. Commun. 61 (2013), no. 4, 1436-1449.   DOI
13 D. Dardari, V. Tralli, and A. Vaccari, A theoretical characterization of nonlinear distortion effects in OFDM systems, IEEE Trans. Commun. 48 (2000), no. 10, 1755-1764.   DOI
14 E. G. Larsson et al., Massive MIMO for next generation wireless systems, IEEE Commun. Mag. 52 (2014), no. 2, 186-195.   DOI
15 Q. Zhang et al., Power scaling of uplink massive MIMO systems with arbitrary‐rank channel means, IEEE J. Sel. Topics Signal Process. 8 (2014), no. 5, 966-981.   DOI
16 A. Liu and V. K. N. Lau, Phase only RF pre‐coding for massive MIMO systems with limited RF chains, IEEE Trans. Signal Process. 62 (2014), no. 17, 4505-4515.   DOI
17 J. Zhang et al., Pilot contamination elimination for large‐scale multiple‐antenna aided OFDM systems, IEEE J. Sel. Topics Signal Process. 8 (2014), no. 5, 759-772.   DOI
18 F. Rusek et al., Scaling up MIMO: opportunities and challenges with very large arrays, IEEE Signal Process. Mag. 30 (2013), no. 1, 40-60.   DOI
19 H. Xie, F. Gao, and S. Jin, An overview of low‐rank channel estimation for massive MIMO systems, IEEE Access 4 (2016), 7313-7321.   DOI
20 E. Bjornson, E. G. Larsson, and T. L. Mazetta, Massive MIMO: Ten myths and one critical question, IEEE Commun. Mag. 54 (2016), no. 2, 114-123.   DOI
21 Y. Nan, L. Zhang, and X. Sun, Efficient downlink channel estimation scheme based on block‐structured compressive sensing for TDD massive MU‐MIMO systems, IEEE Wireless Commun. Letts. 4 (2015), no. 4, 345-348.   DOI
22 C. Shin, R. W. Heath, and E. J. Powers, Blind channel estimation for MIMO‐OFDM systems, IEEE Trans. Veh. Technol. 56 (2007), no. 2, 670-685.   DOI
23 Y. Nan, L. Zhang, and X. Sun, An efficient downlink channel estimation approach for TDD massive MIMO systems, in Proc. IEEE Veh. Technol. Conf. (VTC), Nanjing, China, May 15-18, 2016, pp. 1-5.
24 J. Zuo et al., Multi‐cell multiuser massive MIMO transmission with downlink training and pilot contamination pre‐coding, IEEE Trans. Veh. Technol. 65 (2016), no. 8, 6301-6314.   DOI
25 L. Shen et al., Blind decoding based on independent component analiysis for a massive MIMO uplink system in microcell Rician/Rayleigh fading channels, IEEE Trans. Veh. Technol. 56 (2016), no. 10, 8322-8329.
26 A. Khansefid and H. Minn, Achievable Downlink Rates of MRC and ZF Precoders in Massive MIMO with Uplink and Downlink Pilot Contamination, IEEE Trans. Commun. 63 (2015), no. 12, 4849-4864.   DOI
27 J.‐D. Jiang, T.‐C. Lin, and S.‐M. Phoong, New subspace‐based blind channel estimation for orthogonally coded MIMO‐OFDM systems, in Proc. IEEE ICASSP, Florence, Italy, May 4-9, 2014, pp. 6489-6493.
28 W. Zhang, F. Gao, and Q. Yin, Blind channel estimation for MIMO‐OFDM Systems with low order signal constellation, IEEE Commun. Lett. 19 (2015), no. 3, 499-502.   DOI
29 H. Q. Ngo and E. G. Larsson, No downlink pilots are needed in TDD massive MIMO, IEEE Trans. Wireless Commun. 16 (2017), no. 5, 2921-2935.   DOI
30 H. Q. Ngo, Massive MIMO: Fundamentals and system designs, Ph.D. Thesis, Linkoping University, Sweden, 2015.
31 H. Yang and T. L. Marzetta, Performance of conjugate and zero-forcing beamforming in large‐scale antenna systems, IEEE J. Sel. Areas Commun. 31 (2013), no. 2, 172-179.   DOI