MIMO Detection for Reconfigurable Intelligent Surface-Assisted Millimeter Wave Systems
arXiv:2004.06001
Abstract
Millimeter wave (mmWave) band, or high frequencies such as THz, has large undeveloped band of spectrum. However, wireless channels over the mmWave band usually have one or two paths only due to the severe attenuation. The channel property restricts its development in the multiple-input multiple-output (MIMO) system, which can improve throughput by increasing the spectral efficiency. Recent development in reconfigurable intelligent surface (RIS) provides new opportunities to mmWave communications. In this study, we propose a mmWave system, which used low-precision analog-to-digital converters (ADCs), with the aid of several RIS arrays. Moreover, each RIS array has many reflectors with discrete phase shift. By employing the linear spatial processing, these arrays form a synthetic channel with increased spatial diversity and power gain, which can support MIMO transmission. We develop a MIMO detector according to the characteristics of the synthetic channel. RIS arrays can provide spatial diversity to support MIMO transmission, however, different number, antenna configuration, and deployment of RIS arrays affect the bit error rate (BER) performance. We present state evolution (SE) equations to evaluate the BER of the proposed MIMO detector in the different cases. The BER performance of indoor system is studied extensively through leveraging by the SE equations. We reveal numerous insights about the RIS effects and discuss the appropriate system settings. In addition, our results demonstrate that the low-cost hardware, such as the 3-bit ADCs of the receiver side and the 2-bit uniform discrete phase shift of the RIS arrays, only moderately degenerate the system performance.
References in corpus (11)
- Wireless Communications with Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement
- Beyond Massive-MIMO: The Potential of Data-Transmission with Large Intelligent Surfaces
- Channel Estimation and Performance Analysis of One-Bit Massive MIMO Systems
- Capacity Analysis of One-Bit Quantized MIMO Systems with Transmitter Channel State Information
- Throughput Analysis of Massive MIMO Uplink with Low-Resolution ADCs
- Bayes-Optimal Joint Channel-and-Data Estimation for Massive MIMO with Low-Precision ADCs
- Wireless Communications with Programmable Metasurface: New Paradigms, Opportunities, and Challenges on Transceiver Design
- Uplink Achievable Rate for Massive MIMO with Low-Resolution ADC
- Bayesian Optimal Data Detector for Hybrid mmWave MIMO-OFDM Systems with Low-Resolution ADCs
- Spectral Efficiency of Mixed-ADC Massive MIMO
- Bayesian Optimal Data Detector for mmWave OFDM System with Low-Resolution ADC