Algorithm and Architecture of a Channel-Correlation-Resistant Massive MIMO Detector Based on Expectation Propagation

Expectation propagation (EP) and its approximation algorithms achieve near-optimal signal detection in massive multiple-input multiple-output (MIMO) systems with substantially reduced complexity under uncorrelated channels. However, approximate EP (EPA) detectors often suffer from severe performance degradation in the presence of channel correlation. This article presents a novel EPA-correlation-resistant Chebyshev-accelerated Richardson iteration (EPA-CR-CARI) MIMO detection algorithm that achieves near-optimal performance without requiring channel-specific processing, which incurs considerable latency and area overhead even under correlated channels. Furthermore, a corresponding low-latency and low-complexity VLSI architecture is presented. Compared to the state-of-the-art design targeting correlated channels, the proposed MIMO detector achieves an 18.7% reduction in latency and a 17.3% decrease in hardware complexity.