Cell-Free Massive MIMO Systems With Low-Resolution ADCs: The Rician Fading Case

This article studies the uplink and downlink achievable rates of cell-free massive multi-input multi-output (MIMO) systems over Rician fading channels, assuming that each access point possesses multiple antennas that are connected with low-resolution analog-to-digital converters (ADCs). Achievable c...

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Bibliographic Details
Published in:IEEE systems journal 2022-03, Vol.16 (1), p.1471-1482
Main Authors: Zhang, Yao, Yang, Longxiang, Zhu, Hongbo
Format: Article
Language:English
Subjects:
Algorithms
Analog to digital converters
Antennas
Cell-free massive multi-input multi-output (MIMO)
Channel estimation
Downlink
Downlinking
Fading
low-resolution analog-to-digital converters (ADCs)
Massive MIMO
Mathematical programming
MIMO communication
Optimization
Quantization (signal)
Rician channels
Rician fading
Transmitting antennas
Uplink
Uplinking
weighted max–min fairness
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Summary:This article studies the uplink and downlink achievable rates of cell-free massive multi-input multi-output (MIMO) systems over Rician fading channels, assuming that each access point possesses multiple antennas that are connected with low-resolution analog-to-digital converters (ADCs). Achievable closed-form rate expressions for both uplink and downlink are derived, which enable us to explore the design issues surrounded by the key parameters, such as the number of total antennas, the transmit power, the ADC resolution, and the Rician \mathbf {{\it K}}-factor. Moreover, the weighted max-min fairness power optimization algorithms are proposed. Specifically, the proposed algorithms for uplink and downlink can be formulated as geometric programming and second-order-cone programming, respectively. All the theoretical analyses and the effectiveness of the proposed algorithms are verified by simulation experiments.
ISSN:1932-8184
1937-9234
DOI:10.1109/JSYST.2020.3043216