High Performance Detector for Massive MIMO Systems Using an Adaptive Filtering Approach
Masoud T. Fard, Mojtaba Pakdin Amiri, Ali Olfat · 2024
Massive multiple-input multiple-output (MIMO) systems are a critical technology in modern wireless communications, allowing increased data rates and link reliability. Owing to the increasing number of receivers and transmitters, finding a reliable, low-complexity, and accurate algorithm for data detection is a major issue. In this paper, an innovative method that melds the traditional minimum mean square error (MMSE) detector with an adaptive filter-based reconstruction algorithm is introduced. It is noteworthy that the MMSE detector error often exhibits sparsity, wherein only a few elements in the error vector are non-zero, representing incorrectly detected symbols. This inherent sparsity enables the utilization of efficient sparse recovery techniques for accurate error reconstruction. Numerical results demonstrate that the proposed method enhances performance without a substantial increase in computational overhead.