Improved ADMM-based algorithms for multi-group multicasting in large-scale antenna systems with extension to hybrid beamforming

Demir, Özlem Tuğfe; Tuncer, T. Engin

doi:10.1016/j.dsp.2019.07.005

Cited by 6 publications

(1 citation statement)

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“…Even though we obtain a non-convex problem in this case, an efficient ADMM algorithm can be developed with closed-form updates. ADMM is a powerful first-order optimization method and has been proved to be effective in solving some non-convex problems [21][22][23][24][25]. The problem we propose is a non-convex QCQP problem and there is a weak convergence result for these problems in [21] which states under some conditions, the ADMM iterations converge to a KKT point.…”

Section: ≥0mentioning

confidence: 99%

ADMM-Based One-Bit Quantized Signal Detection for Massive MIMO Systems With Hardware Impairments

Demir

Björnson

2020

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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This paper considers signal detection in massive multiple-input multiple-output (MIMO) systems with general additive hardware impairments and one-bit quantization. First, we present the quantization-unaware and Bussgang decomposition-based linear receivers by generalizing them for the considered hardware impairment model. We propose an optimization problem to estimate the uplink data signals by choosing a suitable cost function that treats the unquantized received signal at the base station as the variable. We exploit the additional structure of the one-bit quantization and signal modulation by including proper constraints. To solve the non-convex quadratically-constrained quadratic programming (QCQP) problem, we propose an ADMM-based algorithm with closed-form update equations. Then, we replace the harsh projectors in the updates with their soft versions to improve the detection performance. We show that the proposed ADMM-based algorithm outperforms the state-ofthe-art linear receivers significantly in terms of bit error rate (BER) and the performance gain increases with the number of antennas and users.Index Terms-MIMO signal detection, massive MIMO, onebit quantization, ADMM, hardware impairments.

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