A PDQ-Based Iterative Receiver in Massive MIMO Systems With Low Resolution ADCs

In this paper, we propose a low-complexity pseudo-de-quantization based (PDQ-based) iterative receiver in massive multi-user multi-input multi-output (MU-MIMO) systems with low resolution analog-to-digital converters (ADCs). First, a unified framework of massive MU-MIMO system with low resolution ADCs is presented. Then, a low-complexity iterative algorithm applying iterative soft decision interference cancellation (ISDIC) is introduced, where a soft information updating scheme is proposed for the PQD-based optimal detection and an iterative architecture of PDQ-based receiver is given. After that, the effect of quantization step size on the performance of PDQ-based iterative receiver is discussed and a new method is proposed to optimize the quantization step with given resolution ADCs. Finally, simulation results show that the PDQ-based iterative receiver can achieve significant improvement with iterative processing and provide a noticeable performance gain over the MMSE-ISDIC receiver with low resolution ADCs.

[1]  Robert W. Heath,et al.  Five disruptive technology directions for 5G , 2013, IEEE Communications Magazine.

[2]  Meixiang Zhang,et al.  Universal soft demodulation schemes for M-ary phase shift keying and quadrature amplitude modulation , 2016, IET Commun..

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

[4]  Erik G. Larsson,et al.  Massive MIMO with 1-bit ADC , 2014, ArXiv.

[5]  W. Marsden.  I and J , 2012 .

[6]  Robert W. Heath,et al.  Near Maximum-Likelihood Detector and Channel Estimator for Uplink Multiuser Massive MIMO Systems With One-Bit ADCs , 2015, IEEE Transactions on Communications.

[7]  Wolfgang H. Gerstacker,et al.  Matched-filter- and MMSE-based iterative equalization with soft feedback for QPSK transmission , 2002, 2002 International Zurich Seminar on Broadband Communications Access - Transmission - Networking (Cat. No.02TH8599).

[8]  Namyoon Lee,et al.  Uplink Multiuser Massive MIMO Systems with Low-Resolution ADCs: A Coding-Theoretic Approach , 2017, ArXiv.

[9]  Shi Jin,et al.  Spectral Efficiency of Mixed-ADC Receivers for Massive MIMO Systems , 2016, IEEE Access.

[10]  A. Lozano,et al.  What Will 5 G Be ? , 2014 .

[11]  Tao Jiang,et al.  Mixed-ADC Massive MIMO Detectors: Performance Analysis and Design Optimization , 2015, IEEE Transactions on Wireless Communications.

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

[13]  John M. Cioffi,et al.  On the uniform ADC bit precision and clip level computation for a Gaussian signal , 1996, IEEE Trans. Signal Process..

[14]  Robert W. Heath,et al.  High SNR capacity of millimeter wave MIMO systems with one-bit quantization , 2014, 2014 Information Theory and Applications Workshop (ITA).