Performance Analysis of Quantized Uplink Massive MIMO-OFDM With Oversampling Under Adjacent Channel Interference

Abstract

Massive multiple-input multiple-output (MIMO) systems have attracted much attention lately due to the many advantages they provide over single-antenna systems. Owing to the many antennas, lowcost implementation and low power consumption per antenna are desired. To that end, massive MIMO structures with low-resolution analog-to-digital converters (ADC) have been investigated in many studies.However, the effect of a strong interferer in the adjacent band on quantized massive MIMO systems have not been examined yet. In this study, we analyze the performance of uplink massive MIMO with low-resolution ADCs under frequency selective fading with orthogonal frequency division multiplexing in the perfect and imperfect receiver channel state information cases. We derive analytical expressions for the bit error rate and ergodic capacity. We show that the interfering band can be suppressed by increasing the number of antennas or the oversampling rate when a zero-forcing receiver is employed.

State Machine-Based Waveforms for Channels With 1-bit Quantization and Oversampling With Time-Instance Zero-Crossing Modulation

“…The benefits of 1-bit quantization and oversampling have been studied in [12], [13] for multiuser multiple-input multiple-output (MIMO) systems in uplink scenarios. Moreover, the studies in [14], [15] have investigated sequences for downlink MIMO systems with 1-bit quantization and oversampling.…”