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Telecommunications and Radio Engineering

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ISSN Печать: 0040-2508

ISSN Онлайн: 1943-6009

SJR: 0.185 SNIP: 0.268 CiteScore™:: 1.5 H-Index: 22

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LOW-COMPLEXITY ITERATIVE DETECTION BASED ON PARAMETRIC AOR FOR UPLINK MASSIVE MIMO SYSTEMS

Том 79, Выпуск 18, 2020, pp. 1609-1623
DOI: 10.1615/TelecomRadEng.v79.i18.30
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Краткое описание

Currently, massive multiple-input multiple-output (MIMO) is one of the most enthralling wireless access technologies to deliver the needs of 5G and beyond networks. Massive MIMO requires handling large scale matrix computation, especially for matrix inversion. Linear minimum mean-square error (LMMSE) can achieve near-optimal performance but involves computationally expensive large-scale matrix inversions. In this paper, we propose a novel LMMSE signal detection for an uplink massive MIMO system using the parametric accelerated over relaxation (PAOR) iterative method without complicated matrix inversion, which is capable of reducing the complexity of the classical LMMSE algorithm. Also, the initial solution is proposed by exploiting the benefits of a stair matrix to obtain a high performance, fast convergence rate, and low complexity. Simulation results show that the proposed algorithm outperforms the existing methods and achieves near-LMMSE performance with low computational complexity. Also, we find that matrix inversion based on PAOR iteration is the practical solution for data detection in massive MIMO systems.

Ключевые слова: 5G, massive MIMO, stair matrix, LMMSE, GS, SOR, Jacobi, AOR, PAOR
ЛИТЕРАТУРА
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