Synchronization Reduction of the Conjugate Gradient Detector Used in Massive MIMO Uplink

Negrete, Juan Carlos; Iano, Yuzo; Negrete, Pablo David Minango; Ibarra, David Allan; Flores, Andrea Carolina; Oliveira, Gabriel Gomes de

doi:10.1007/978-3-030-57548-9_21

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“…Bit error rate (BER) performance is considerably inferior when compared with that of ML, particularly with high signal-to-noise ratio (SNR) values. Many iterative methods for approximating or avoiding matrix inversion are proposed as a solution, such as the Neumann series (NS) method [13], the Newton iteration (NI) method [14], the Gauss-Seidel (GS) method [8], the Jacobi (JA) method [15], the Richardson (RI) method [16], the CG method [17], and the SOR method [18]. The complexity of iterative procedures is highly influenced by a greater number of iterations.…”

Section: Introductionmentioning

confidence: 99%

Efficient Iterative Detection Based on Conjugate Gradient and Successive Over-Relaxation Methods for Uplink Massive MIMO Systems

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Aounallah

2023

JTIT

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Being a crucial aspect of fifth-generation (5G) mobile communications systems, massively multiple-input multiple-output (mMIMO) architectures are expected to help achieve the highest key performance indicators. However, the huge numbers of antennas used in such systems make it difficult to determine the inversion of the signal channel matrix relied upon by several detection methods, hence posing a problem with accurate estimation of the symbols sent. In this paper, conjugate gradient (CG) and successive over-relaxation (SOR) methods are selected to construct a new iterative approach that avoids the matrix inversion computation issue. This suggested approach for uplink mMIMO detection is based on a joint cascade structure of both iterative methods. The CG method is first applied and adjusted for the initial solution, followed by the SOR method in the final iterations for terminal computations, resulting in an algorithm with robust performance and low computational complexity. Furthermore, the new hybrid scheme operates based on the relaxation parameter, whose value has a great impact on error performance and, whose optimal determination is necessary. Numerical simulations reveal that the proposed scheme is capable of significantly improving signal detection accuracy with minimum complexity. The simulation results indicated that the proposed detector outperforms CG and SOR detectors, achieves close to optimal performance, requires fewer iterations, and reduces complexity.

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