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Computer Science > Information Theory

Title: Analysis of Quantization Noise Suppression Gains in Digital Phased Arrays

Abstract: Digital phased arrays have often been disregarded for millimeter-wave communications since the analog-to-digital converters (ADCs) are power-hungry. In this paper, we provide a different perspective on this matter by demonstrating analytically and numerically how the ADC resolution can be reduced when using digital phased arrays. We perform a theoretical analysis of the quantization noise characteristics for an OFDM signal received and processed by a digital phased array, using Gaussian approximation of the OFDM signal. In particular, we quantify the quantization noise suppression factor analytically and numerically. This factor describes how much the coherent combining reduces the quantization noise as a function of the number of antennas, which allows for reducing the ADC bit resolution. For instance in a 8-16 antenna digital phased array the ADC resolution can be reduced with 1-2 bits compared to the ADC required for an analog phased array.
Comments: \copyright 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Subjects: Information Theory (cs.IT); Signal Processing (eess.SP)
Journal reference: Published at the IEEE WCNC 2024, 6 pages, 4 figures
Cite as: arXiv:2405.00830 [cs.IT]
  (or arXiv:2405.00830v1 [cs.IT] for this version)

Submission history

From: Emil Björnson [view email]
[v1] Wed, 1 May 2024 19:33:02 GMT (193kb)

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