ynamic Oversampling for 1-Bit ADCs in Large-Scale Multiple-Antenna System

Autor(es)

Shao, Zhichao ^[1] ; Landau, Lukas T. N. ^[1] ; de Lamare, Rodrigo C. ^[1]

Afiliação do(s) autor(es)

^[1] Pontifical Catholic Univ Rio de Janeiro, Ctr Telecommun Studies, BR-22453900 Rio De Janeiro - Brazil

• Tipo de documento: Artigo Científico
• Fonte: IEEE TRANSACTIONS ON COMMUNICATIONS; v. 69, n. 5, p. 3423-3435, MAY 2021.
• Citações Web of Science: 8

Resumo

In this work, large-scale multiple-antenna systems are investigated, where the base station employs a large antenna array with low-cost and low-power 1-bit analog-todigital converters. To compensate for the performance loss caused by the coarse quantization, oversampling is applied at the receiver. Unlike existing works that use uniform oversampling, which samples the signal at a constant rate, a novel dynamic oversampling scheme is proposed. The basic idea is to perform time-varying nonuniform oversampling, which selects samples with nonuniform patterns that vary over time. We consider two system design criteria: a design that maximizes the achievable sum rate and another design that minimizes the mean square error of detected symbols. Dynamic oversampling is carried out using a dimension reduction matrix Delta, which can he computed by the generalized eigenvalue decomposition or by novel submatrix-level feature selection algorithms. Moreover, the proposed scheme is analyzed in terms of convergence, computational complexity and power consumption at the receiver. Simulations show that systems with the proposed dynamic oversampling outperform those with uniform oversampling in terms of computational cost, achievable sum rate and symbol error rate performance. (AU)

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