Achievable Uplink Rates for Massive MIMO with Coarse Quantization

Abstract

The high hardware complexity of a massive MIMO base station, which requires hundreds of radio chains, makes it challenging to build commercially. One way to reduce the hardware complexity and power consumption of the receiver is to lower the resolution of the analog-to-digital converters (ADCs). We derive an achievable rate for a massive MIMO system with arbitrary quantization and use this rate to show that ADCs with as low as 3 bits can be used without significant performance loss at spectral efficiencies around 3.5 bpcu per user, also under interference from stronger transmitters and with some imperfections in the automatic gain control.

References in corpus (6)

• Throughput Analysis of Massive MIMO Uplink with Low-Resolution ADCs
• Massive MIMO with Non-Ideal Arbitrary Arrays: Hardware Scaling Laws and Circuit-Aware Design
• Uplink Achievable Rate for Massive MIMO with Low-Resolution ADC
• On the Spectral Efficiency of Massive MIMO Systems with Low-Resolution ADCs
• Massive MIMO with 1-bit ADC
• Channel Estimation and Uplink Achievable Rates in One-Bit Massive MIMO Systems

Cited by in corpus (10)

• Hardware Distortion Correlation Has Negligible Impact on UL Massive MIMO Spectral Efficiency
• Efficient DSP and Circuit Architectures for Massive MIMO: State-of-the-Art and Future Directions
• Multipair Massive MIMO Relaying Systems with One-Bit ADCs and DACs
• Optimal Per-Antenna ADC Bit Allocation in Correlated and Cell-Free Massive MIMO
• 25 Years of Signal Processing Advances for Multiantenna Communications
• Channel Estimation for One-Bit Massive MIMO Systems Exploiting Spatio-Temporal Correlations
• The Distributed MIMO Scenario: Can Ideal ADCs Be Replaced by Low-resolution ADCs?
• Analysis of Quantization Noise Suppression Gains in Digital Phased Arrays
• Large Multiuser MIMO Detection: Algorithms and Architectures
• Joint AGC and Receiver Design for Large-Scale MU-MIMO Systems Using Low-Resolution Signal Processing in C-RANs