Abstract

In this paper, we investigate the capacity of massive multiple-input multiple-output (MIMO) systems corrupted by complex-valued additive white Gaussian noise (AWGN) when both the transmitter and the receiver employ 1-bit digital-to-analog converters (DACs) and 1-bit analog-to-digital-converters (ADCs). As a result of 1-bit DACs and ADCs, the transmitted and received symbols, as well as the transmitand receive-side noisy channel state information (CSI) are assumed to be quantized to 1-bit of information. The derived results, applicable to both single-user and multi-user MIMO, show that the capacity of the considered massive MIMO system is 2N and 2M bits per channel use when N is fixed and M goes to infinity and when M is fixed and N goes to infinity, respectively, where M and N denote the number of transmit and receive antennas, respectively. These coincide with the respective capacities with full and noise-free CSI at both the transmitter and the receiver. In both cases, we showed that the derived capacities can be achieved with noisy 1-bit CSI at the massive-side and without any CSI at the other end. Moreover, we showed that the capacity can be achieved in one channel use without employing channel coding, which results in a latency of one channel use.

Highlights

  • Massive antenna arrays at the transmitter and at the receiver have shown to be extremely useful for improving the capacity of generation wireless networks

  • In this paper, we investigate the capacity of the additive white Gaussian noise (AWGN) massive multiple-input multipleoutput (MIMO) systems with 1-bit analog-to-digital converters (ADCs) and digital-to-analog converters (DACs) at the receiver and at the transmitter

  • We showed that the capacity can be achieved in one channel use without employing channel coding, which results in a latency of one channel use

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Summary

INTRODUCTION

Massive antenna arrays at the transmitter and at the receiver have shown to be extremely useful for improving the capacity of generation wireless networks. Among the main design problems for the massive multiple-input multipleoutput (MIMO) technology is the power consumption of analog-to-digital converters (ADCs) and digital-to-analog converters (DACs) associated with each radio frequency (RF) chain. This problem is especially significant in massive MIMO systems employing large bandwidths since these systems require ADCs and DACs with large sampling rates, which results in high-resolution, high-speed ADCs and DACs that consume large amounts of energy and are costly [1]–[3].

LOW-RESOLUTION DACs AND ADCs
SYSTEM MODEL
NUMERICAL ANALYSIS
CONCLUSION

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