Robust massive MIMO equilization for mmWave systems with low resolution ADCs

Roth, Kilian; Nossek, Josef A.

doi:10.1109/wcncw.2018.8369025

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…Besides, if the imperfections of the AGC is in the range of −20% to 20%, there is no major influence on the performance. In [210], the performance of digital beamforming with low-resolution ADCs based on link level simulations was investigated. In their observations, they found that the complexity of MMSE equalization is dominated by the computation of the gram matrix and not the matrix inversion.…”

Section: Millimeter-wave Massive Mimo Systems With Low-resolution Adcsmentioning

confidence: 99%

Low-Resolution ADCs for Wireless Communication: A Comprehensive Survey

Luo

Xiong

2019

IEEE Access

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With the rapid growth of wireless data traffic and antennas configuration, higher spectrum efficiency and lower power consumption processing have evoked remarkable attention from the research and industry community for the deployment of future wireless communication. It has become a heated topic quickly in recent years and gives rise to the widespread interest around the world. As a core technology of the fifth-generation (5G) mobile communication, massive multi-input multi-output (MIMO) technology can fully exploit the space resources and greatly improve the spectral and energy efficiency. However, massive MIMO systems are faced with the problems of mass data processing, high hardware cost, and huge total power consumption. To cope with these problems, a useful solution is that the receiver equips with finite resolution analog-to-digital (ADC) converters. A large number of research results show that the low-resolution quantization technology brings significant performance within the allowable loss of capacity. This promising technique has attracted many scholars to do tremendous endeavor on it. As a motivation, we make a comprehensive survey about low-resolution ADCs for wireless communication. This paper summarizes the latest developments in the design of low-resolution communication systems, focusing on system performance analysis, some key technologies of the receiver, and typical application scenarios for the low-resolution ADCs. In view of the adverse effects caused by coarse quantization, some potential implementations are presented to alleviate this dilemma. Future research directions are also given and suggested in this paper. This overview contributes significantly to providing an informative and tutorial reference for the key technologies of low-resolution ADCs as well as its applications in practical systems.INDEX TERMS Low resolution quantization, multi-input and multi-output, channel capacity, channel estimation, automatic gain control, synchronization, receiver, relay system. JUN LIU received the B.S. degree in communication engineering from the Sichuan University of Science and Engineering, Zigong, China, in 2017, where he is currently pursuing the M.S. degree. From 2018 to 2020, he will be a Visiting Scholar with the Department of Aeronautics and Astronautics, Shanghai Jiao Tong University (SJTU). His research interests include low-resolution quantization, signal processing for wireless communications, intelligent signal processing, computer vision, and information fusion.

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Section: Millimeter-wave Massive Mimo Systems With Low-resolution Adcsmentioning

confidence: 99%

Low-Resolution ADCs for Wireless Communication: A Comprehensive Survey

Luo

Xiong

2019

IEEE Access

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“…As in [8] we use an unbiased MMSE receiver for the MIMO equalization. We use the channel estimates to generate the MMSE MIMO equalizer.…”

Section: B Link-level Simulation Based Rate Evaluationmentioning

confidence: 99%

“…Due to the limited space not all details are given. In this work we only describe the overview and the differences with our theoretical evaluation in [1] and the link-level evaluation in [8]. The remaining paper is organized as follows: In the first section we present the chosen channel estimation method as well as the model for the theoretical evaluation.…”

Section: Introductionmentioning

confidence: 99%

Are the Data Rates Predicted by the Analytic Analysis of Receivers with Low Resolution ADCs Achievable?

Roth

Pirzadeh

Swindlehurst

et al. 2018

2018 European Conference on Networks and Communications (EuCNC)

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Leveraging the available millimeter wave spectrum will be important for 5G. In this work, we compare an information theory based analytic result for the achievable rate of digital beamforming systems using low resolution Analogto-Digital-Converters (ADCs), to a link-level simulation of the same system. For both evaluation methods we include imperfect channel knowledge at the receiver and the effects of the ADC in a wideband multiuser uplink scenario. For the system we choose a configuration defined by 3GPP New Radio (5G). Our results show a performance gap between the two systems, which is comparable to other evaluations of this kind for systems like LTE (4G). In the low-to-medium SNR regime from-20 to 0 dB there is a constant difference of about 4 dB between the two evaluation methods. However, due to a number of effects not modeled in the achievable rate analysis the maximum spectral efficiency saturates at a significantly lower value.

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Data and Energy Beamforming with Multiple Antennas

Hu,

Yang

2024

Textbooks in Telecommunication Engineering

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Robust massive MIMO equilization for mmWave systems with low resolution ADCs

Cited by 4 publications

References 13 publications

Low-Resolution ADCs for Wireless Communication: A Comprehensive Survey

Low-Resolution ADCs for Wireless Communication: A Comprehensive Survey

Are the Data Rates Predicted by the Analytic Analysis of Receivers with Low Resolution ADCs Achievable?

Data and Energy Beamforming with Multiple Antennas

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