Linear CE and 1-bit Quantized Precoding With Optimized Dithering

High power amplifiers (HPA), used at transmission, add nonlinear impairments to the output signals. Through Constant envelope (CE) transmission, distortion in the signal can be avoided without wasting power on PA linearization. A more restricted form of CE transmission, 1-bit quantized transmission,...

Full description

Bibliographic Details
Main Authors: Amodh Kant Saxena, Amine Mezghani, Robert W. Heath
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Open Journal of Signal Processing
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9271818/
_version_ 1819168493089587200
author Amodh Kant Saxena
Amine Mezghani
Robert W. Heath
author_facet Amodh Kant Saxena
Amine Mezghani
Robert W. Heath
author_sort Amodh Kant Saxena
collection DOAJ
description High power amplifiers (HPA), used at transmission, add nonlinear impairments to the output signals. Through Constant envelope (CE) transmission, distortion in the signal can be avoided without wasting power on PA linearization. A more restricted form of CE transmission, 1-bit quantized transmission, further simplifies the RF chain and reduces the DAC power consumption. In this paper, for CE transmission and 1-bit quantized transmission at the BS antennas, we analyze downlink transmission for low complexity linear precoding. We observe that for small numbers of users in the downlink, correlation among the quantization error components across BS antennas is high, deteriorating the performance rapidly as number of users become smaller. To improve performance for smaller numbers of downlink users, we propose the addition of correlated Gaussian dither to the precoded signal before quantization and subsequent transmission. We observe that the receive SQINR peaks for finite non-trivial dither power. For given value of transmit power, number of BS antennas and number of users, SQINR is maximized analytically by the transmitter, to find the optimum dither power, using the Bussgang decomposition. We observe that with the implementation of optimized dithering, the error floor in the coded BER at high transmit power, for CE and 1-bit quantized transmissions, is pushed down significantly. We also observe that optimum dither power increases monotonically with transmit power, with rate of increase decreasing with increasing transmit power. Further, the optimum dither power strictly increases with number of BS antennas.
first_indexed 2024-12-22T19:04:29Z
format Article
id doaj.art-82153b137b324128b7953386a3a05459
institution Directory Open Access Journal
issn 2644-1322
language English
last_indexed 2024-12-22T19:04:29Z
publishDate 2020-01-01
publisher IEEE
record_format Article
series IEEE Open Journal of Signal Processing
spelling doaj.art-82153b137b324128b7953386a3a054592022-12-21T18:15:51ZengIEEEIEEE Open Journal of Signal Processing2644-13222020-01-01131032510.1109/OJSP.2020.30405909271818Linear CE and 1-bit Quantized Precoding With Optimized DitheringAmodh Kant Saxena0https://orcid.org/0000-0002-3890-4553Amine Mezghani1Robert W. Heath2https://orcid.org/0000-0002-4666-5628Wireless Networking and Communications Group, UT Austin, Austin, USADepartment of ECE, University of Manitoba, Winnipeg, MB, CanadaDepartment of ECE, North Carolina State University, Raleigh, USAHigh power amplifiers (HPA), used at transmission, add nonlinear impairments to the output signals. Through Constant envelope (CE) transmission, distortion in the signal can be avoided without wasting power on PA linearization. A more restricted form of CE transmission, 1-bit quantized transmission, further simplifies the RF chain and reduces the DAC power consumption. In this paper, for CE transmission and 1-bit quantized transmission at the BS antennas, we analyze downlink transmission for low complexity linear precoding. We observe that for small numbers of users in the downlink, correlation among the quantization error components across BS antennas is high, deteriorating the performance rapidly as number of users become smaller. To improve performance for smaller numbers of downlink users, we propose the addition of correlated Gaussian dither to the precoded signal before quantization and subsequent transmission. We observe that the receive SQINR peaks for finite non-trivial dither power. For given value of transmit power, number of BS antennas and number of users, SQINR is maximized analytically by the transmitter, to find the optimum dither power, using the Bussgang decomposition. We observe that with the implementation of optimized dithering, the error floor in the coded BER at high transmit power, for CE and 1-bit quantized transmissions, is pushed down significantly. We also observe that optimum dither power increases monotonically with transmit power, with rate of increase decreasing with increasing transmit power. Further, the optimum dither power strictly increases with number of BS antennas.https://ieeexplore.ieee.org/document/9271818/1-bit quantized transmissionmassive MIMOdownlink precodingconstant envelope transmission1-bit DACsBussgang decomposition
spellingShingle Amodh Kant Saxena
Amine Mezghani
Robert W. Heath
Linear CE and 1-bit Quantized Precoding With Optimized Dithering
IEEE Open Journal of Signal Processing
1-bit quantized transmission
massive MIMO
downlink precoding
constant envelope transmission
1-bit DACs
Bussgang decomposition
title Linear CE and 1-bit Quantized Precoding With Optimized Dithering
title_full Linear CE and 1-bit Quantized Precoding With Optimized Dithering
title_fullStr Linear CE and 1-bit Quantized Precoding With Optimized Dithering
title_full_unstemmed Linear CE and 1-bit Quantized Precoding With Optimized Dithering
title_short Linear CE and 1-bit Quantized Precoding With Optimized Dithering
title_sort linear ce and 1 bit quantized precoding with optimized dithering
topic 1-bit quantized transmission
massive MIMO
downlink precoding
constant envelope transmission
1-bit DACs
Bussgang decomposition
url https://ieeexplore.ieee.org/document/9271818/
work_keys_str_mv AT amodhkantsaxena linearceand1bitquantizedprecodingwithoptimizeddithering
AT aminemezghani linearceand1bitquantizedprecodingwithoptimizeddithering
AT robertwheath linearceand1bitquantizedprecodingwithoptimizeddithering