Channel Estimation for RIS-Aided mmWave Massive MIMO System Using Few-Bit ADCs

Millimeter wave (mmWave) massive multiple-input multiple-output (massive MIMO) is one of the most promising technologies for fifth generation and beyond wireless communication system. However, a large number antennas incur high power consumption hardware costs, high-frequency communications place heavy burden on analog-to-digital converters (ADCs) at base station (BS). Furthermore, it too costly to equipping each antenna with high-precision ADC in array It adopt low-resolution ADCs address this problem. In letter, we investigate cascaded channel estimation mmWave MIMO system aided by reconfigurable intelligent surface (RIS) BS equipped few-bit ADCs. Due low-rank property channel, can be formulated as matrix completion We introduce Bayesian optimal inference framework tackle information loss caused quantization. To implement estimator achieve completion, use efficient bilinear generalized approximate message passing (BiG-AMP) algorithm. Extensive simulation results verify that our proposed method accurately estimate RIS-aided