Large-scale multiple-input multiple-out(MIMO) detection method and device based on adaptive damping Jacobi iteration

Abstract

The invention discloses a large-scale MIMO detection method and device based on an adaptive damping Jacobi iteration, which can overcome the problem that because of large-scale application of MIMO technology in 5G communication system, excessive computational complexity of minimum mean square error(MMSE) detection brings great technical difficulty to specific hardware implementation and circuit system design. The method provided by the invention uses a damping Jacobi iterative method to approximate a large matrix inverse operation. At the same time, a damping factor is automatically updated during an iterative process and that a relaxation factor used in each iteration is optimal is ensured as much as possible, so as to achieve faster convergence effect. The invention also discloses hardware architecture of the adaptive damping Jacobi detection method, mainly comprising a pre-processing module, a residual vector calculation module and an adaptive update module. According to the invention, by improving traditional Jacobi algorithm, faster convergence effect is realized and validity of the Jacobi iterative method is improved. Thus computational complexity of large-scale MIMO detection and complexity of hardware implementation is reduced.

Description

Technical field [0001] The invention relates to a large-scale MIMO detection method and device based on adaptive damping Jacobi iteration, and belongs to the technical field of wireless communication. Background technique [0002] With the rapid development of wireless communication technology, the number of mobile users and the scale of related industries have exploded, causing wireless networks to expose problems such as the shortage of spectrum resources and the urgent need to improve spectrum efficiency. Although the current fourth-generation mobile communication (4G) has been fully industrialized, its spectrum utilization and energy efficiency still cannot meet the needs of the future society, and its wireless coverage and user experience need to be further improved. On this basis, the fifth-generation mobile communication (5G) has become a research hotspot in the field of wireless communication at home and abroad. [0003] In order to meet the increasing performance requirem...

AI Technical Summary

Problems solved by technology

Although the traditional Richardson iteration and Jacobi iteration can achieve detection performance similar to that of MMSE, they require a large number of iterations

Although GS and SOR require fewer iterations, they need to invert a tridiagonal matrix and are not conducive to parallel implementation.

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