Quantized Massive MIMO Systems With Multicell Coordinated Beamforming and Power Control

In this paper, we investigate a coordinated multipoint (CoMP) beamforming and power control problem for base stations (BSs) with a massive number of antenna arrays under coarse quantization at low-resolution analog-to-digital converters (ADCs) and digital-to-analog converter (DACs). Unlike high-reso...

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Published inIEEE transactions on communications Vol. 69; no. 2; pp. 946 - 961
Main Authors Choi, Jinseok, Cho, Yunseong, Evans, Brian L.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.02.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Analog to digital conversion
Analog to digital converters
Antenna arrays
Array signal processing
Beamforming
Channel estimation
Coordinated multipoint
Digital to analog conversion
Digital to analog converters
Interference
Iterative algorithms
joint beamforming and power control
low-resolution ADC/DAC
Lower bounds
Measurement
MIMO (control systems)
OFDM
Optimization
Orthogonal Frequency Division Multiplexing
Power control
Quantization (signal)
Signal to noise ratio
Subcarriers
total transmit power minimization
UL-DL strong duality
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Abstract In this paper, we investigate a coordinated multipoint (CoMP) beamforming and power control problem for base stations (BSs) with a massive number of antenna arrays under coarse quantization at low-resolution analog-to-digital converters (ADCs) and digital-to-analog converter (DACs). Unlike high-resolution ADC and DAC systems, non-negligible quantization noise that needs to be considered in CoMP design makes the problem more challenging. We first formulate total power minimization problems of both uplink (UL) and downlink (DL) systems subject to signal-to-interference-and-noise ratio (SINR) constraints. We then derive strong duality for the UL and DL problems under coarse quantization systems. Leveraging the duality, we propose a framework that is directed toward a twofold aim: to discover the optimal transmit powers in UL by developing iterative algorithm in a distributed manner and to obtain the optimal precoder in DL as a scaled instance of UL combiner. Under homogeneous transmit power and SINR constraints per cell, we further derive a deterministic solution for the UL CoMP problem by analyzing the lower bound of the SINR. Lastly, we extend the derived result to wideband orthogonal frequency-division multiplexing systems to optimize transmit power and beamformer for all subcarriers. Simulation results validate the theoretical results and proposed algorithms.
AbstractList In this paper, we investigate a coordinated multipoint (CoMP) beamforming and power control problem for base stations (BSs) with a massive number of antenna arrays under coarse quantization at low-resolution analog-to-digital converters (ADCs) and digital-to-analog converter (DACs). Unlike high-resolution ADC and DAC systems, non-negligible quantization noise that needs to be considered in CoMP design makes the problem more challenging. We first formulate total power minimization problems of both uplink (UL) and downlink (DL) systems subject to signal-to-interference-and-noise ratio (SINR) constraints. We then derive strong duality for the UL and DL problems under coarse quantization systems. Leveraging the duality, we propose a framework that is directed toward a twofold aim: to discover the optimal transmit powers in UL by developing iterative algorithm in a distributed manner and to obtain the optimal precoder in DL as a scaled instance of UL combiner. Under homogeneous transmit power and SINR constraints per cell, we further derive a deterministic solution for the UL CoMP problem by analyzing the lower bound of the SINR. Lastly, we extend the derived result to wideband orthogonal frequency-division multiplexing systems to optimize transmit power and beamformer for all subcarriers. Simulation results validate the theoretical results and proposed algorithms.
Author Cho, Yunseong
Evans, Brian L.
Choi, Jinseok
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  fullname: Choi, Jinseok
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  givenname: Brian L.
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Snippet In this paper, we investigate a coordinated multipoint (CoMP) beamforming and power control problem for base stations (BSs) with a massive number of antenna...
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SubjectTerms Analog to digital conversion
Analog to digital converters
Antenna arrays
Array signal processing
Beamforming
Channel estimation
Coordinated multipoint
Digital to analog conversion
Digital to analog converters
Interference
Iterative algorithms
joint beamforming and power control
low-resolution ADC/DAC
Lower bounds
Measurement
MIMO (control systems)
OFDM
Optimization
Orthogonal Frequency Division Multiplexing
Power control
Quantization (signal)
Signal to noise ratio
Subcarriers
total transmit power minimization
UL-DL strong duality
Title Quantized Massive MIMO Systems With Multicell Coordinated Beamforming and Power Control
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