Efficient Equalization Method for Cyclic Prefix-Free Coarsely Quantized Massive MIMO Systems

TL;DR

This paper introduces a frequency domain equalization method for CP-free massive MIMO systems with low-resolution ADCs, optimizing block length to balance complexity and performance in quantized, frequency-selective channels.

Contribution

It proposes a novel block processing FDE technique for CP-free massive MIMO systems with low-resolution ADCs, including an optimal block length selection method.

Findings

Optimal block length minimizes computational complexity.

The method achieves good MSE and BER performance.

Numerical simulations validate the approach.

Abstract

The use of low resolution Analog to Digital Converters (ADCs) can significantly reduce the power consumption for massive Multiple Input Multiple Output (MIMO) systems. The existing literature on quantized massive MIMO systems deals with Cyclic Prefix (CP) transmission schemes in frequency-selective fading channels. In this paper, we propose a block processing Frequency Domain Equalization (FDE) technique in CP-free transmission schemes for massive MIMO systems having low resolution ADCs. The optimal block length for FDE is found by minimizing a computational complexity cost function and taking quantization distortion, channel impulse response and the number of transmit and receiver antennas into account. Through numerical simulation, it is shown that the optimal block length also guarantees good performance in terms of the Mean Square Error (MSE) and Bit Error-Rate (BER) criterion.