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Bayes-Optimal Joint Channel-and-Data Estimation for Massive MIMO With Low-Precision ADCs
2016
IEEE Transactions on Signal Processing
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To address this requirement, we adopt a joint channel-and-data (JCD) estimation method based on Bayes-optimal inference. ...
This paper considers a multiple-input multiple-output (MIMO) receiver with very low-precision analog-to-digital convertors (ADCs) with the goal of developing massive MIMO antenna systems that require minimal ...
CONCLUSION We developed a framework for studying the best possible estimation performance of the quantized MIMO system, namely, the massive MIMO system with very low-precision ADCs. ...
doi:10.1109/tsp.2015.2508786
fatcat:ou74xige65edbefwg5lk6wys7e
Mixed-ADC Massive MIMO Detectors: Performance Analysis and Design Optimization
2016
IEEE Transactions on Wireless Communications
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2015 pre-print arXiv:1509.07950v1 fatcat:cn4g46c7rbailfnbs5vnobibruOther Versions
However, such a pure low-resolution ADC architecture also complicates parameter estimation problems such as time/frequency synchronization and channel estimation. ...
A mixed-ADC architecture, where most of the antennas are equipped with low-precision ADCs while a few antennas have full-precision ADCs, can solve these issues and actualize the potential of the pure low-resolution ...
Such pilot overhead cannot be sustained by a practical system; to reduce pilot cost, a joint channeland-data estimation method that used predicated payload data to aid channel estimation was proposed in ...
doi:10.1109/twc.2016.2606592
fatcat:lop42uqeffhqzcjova33tetsxy
Joint Channel-and-Data Estimation for Large-MIMO Systems with Low-Precision ADCs
[article]
2015
arXiv
pre-print
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A possible solution to the quantized MIMO systems is joint channel-and-data (JCD) estimation. ...
In particular, we use the Bayes-optimal inference for the JCD estimation and realize this estimator utilizing a recent technique based on approximate message passing. ...
Several aspects of low precision ADCs have been studied in the literature for single-input single-output (SISO) channels [4] and more recently MIMO channels [5] and references therein. ...
arXiv:1501.05580v1
fatcat:n76fpbdypjhxhkog7eej4jkxly
Low-Resolution ADCs for Wireless Communication: A Comprehensive Survey
2019
IEEE Access
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However, massive MIMO systems are faced with the problems of mass data processing, high hardware cost, and huge total power consumption. ...
scenarios for the low-resolution ADCs. ...
His research interests include low-resolution quantization, signal processing for wireless communications, intelligent signal processing, computer vision, and information fusion. ...
doi:10.1109/access.2019.2927891
fatcat:2qmas34hsrbwtilozekisqe5r4
Spectral Efficiency of Mixed-ADC Massive MIMO
2018
IEEE Transactions on Signal Processing
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2018 pre-print arXiv:1802.10259v1 fatcat:753hudyxhreidghryr3353oc4aOther Versions
This architecture has been proposed as an approach for realizing massive MIMO systems with reasonable power consumption. ...
Then, we analyze the impact of the resulting channel estimation error in the data detection phase. ...
The advantage of using a mixed-ADC architecture in designing Bayes-optimal detectors for MIMO systems with low-resolution ADCs is reported in [28] . ...
doi:10.1109/tsp.2018.2833807
fatcat:idsori56jnf7jkokcr7i74xbdu
Quantization Design and Channel Estimation for Massive MIMO Systems with One-Bit ADCs
[article]
2017
arXiv
pre-print
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In this paper, we study the problem of optimal one-bit quantization design for channel estimation in one-bit massive MIMO systems. ...
Channel estimation for one-bit massive MIMO systems is challenging due to the severe distortion caused by the coarse quantization. ...
To alleviate this issue, a Bayes-optimal joint channel and data estimation scheme was proposed in [11] , in which the estimated payload data are utilized to aid channel estimation. ...
arXiv:1704.04709v1
fatcat:nqy5dd3xcnavbnn3sbmlw6hcum
Channel Estimation Techniques for Millimeter-Wave Communication Systems: Achievements and Challenges
2020
IEEE Open Journal of the Communications Society
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The fifth-generation (5G) of cellular networks and beyond requires massive connectivity, high data rates, and low latency. ...
(UDNs) and massive multiple-input-multiple-output (massive MIMO) systems. ...
Some of these works include, [178] where a joint channel-and-data estimation algorithm for low-precision ADCs system was proposed based on the optimal Bayes estimator, and [195] where the bilinear ...
doi:10.1109/ojcoms.2020.3015394
fatcat:oy522sijkrfwfhltkft4col7km
2019 Index IEEE Transactions on Communications Vol. 67
2019
IEEE Transactions on Communications
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., +, TCOMM April 2019 2924-2938 Globally Optimal Joint Uplink Base Station Association and Beamforming. Low-Complexity SC-FDE Techniques for Massive MIMO Schemes With Low-Resolution ADCs. ...
., +, TCOMM May 2019 3220-3233
Performance Analysis of Multi-Cell Millimeter-Wave Massive MIMO Net-
works With Low-Precision ADCs. ...
doi:10.1109/tcomm.2019.2963622
fatcat:qd6so3reavde3eiukfknmpbfsu
Soft-Output Detection Methods for Sparse Millimeter Wave MIMO Systems with Low-Precision ADCs
[article]
2018
arXiv
pre-print
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In this paper, we propose computationally-efficient yet near-optimal soft-output detection methods for the coded mmWave MIMO systems with low-precision ADCs. ...
The use of low-precision analog-to-digital converters (ADCs) is a low-cost and power-efficient solution for a millimeter wave (mmWave) multiple-input multiple-output (MIMO) system operating at sampling ...
Related Work There is a rich literature on data detection methods in MIMO systems with low-precision ADCs [17] - [24] . ...
arXiv:1811.11923v1
fatcat:pzyqlljrkjd2znzkxttf7urwse
Variational Bayes for Joint Channel Estimation and Data Detection in Few-Bit Massive MIMO Systems
[article]
2022
arXiv
pre-print
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This paper proposes joint channel estimation and data detection methods for massive MIMO systems with low-resolution ADCs based on the variational Bayes (VB) inference framework. ...
Massive multiple-input multiple-output (MIMO) communications using low-resolution analog-to-digital converters (ADCs) is a promising technology for providing high spectral and energy efficiency with affordable ...
In this paper, we develop a VB framework for channel estimation and data detection for massive MIMO systems with low-resolution ADCs. ...
arXiv:2212.01717v1
fatcat:iltig5yuybg77fry53zvj7auem
2019 Index IEEE Wireless Communications Letters Vol. 8
2019
IEEE Wireless Communications Letters
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., +, LWC Aug. 2019 1216-1219 Wideband mmWave Channel Estimation for Hybrid Massive MIMO With Low-Precision ADCs. Wang, Y., +, LWC Feb. ...
., +, LWC Dec. 2019 1550-1554 FCFGS-CV-Based Channel Estimation for Wideband mmWave Massive MIMO Systems With Low-Resolution ADCs. ...
doi:10.1109/lwc.2019.2961756
fatcat:bwxehcl4ejew7a6m66prb6s4z4
2019 Index IEEE Transactions on Signal Processing Vol. 67
2019
IEEE Transactions on Signal Processing
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., +, TSP Jan. 1, 2019 245-259 Joint Channel Estimation and User Grouping for Massive MIMO Systems. ...
., +, TSP May 1, 2019 2499-2512 Joint Channel Estimation and User Grouping for Massive MIMO Systems. ...
doi:10.1109/tsp.2020.2968163
fatcat:dvvpqntb2rc2bjed5nnk4xora4
2021 Index IEEE Transactions on Wireless Communications Vol. 20
2021
IEEE Transactions on Wireless Communications
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Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name. ...
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
., +, TWC Nov. 2021 7118-7134 Spatial Wideband Channel Estimation for mmWave Massive MIMO Systems With Hybrid Architectures and Low-Resolution ADCs. ...
doi:10.1109/twc.2021.3135649
fatcat:bgd3vzb7pbee7jp75dnbucihmq
2020 Index IEEE Transactions on Signal Processing Vol. 68
2020
IEEE Transactions on Signal Processing
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., and Rahmani, M., One-Step Prediction for Discrete Time-Varying Nonlinear Systems With Unknown Inputs and Correlated Noises; TSP ...
., +, TSP 2020 4320-4335
Bayes-Optimal MMSE Detector for Massive MIMO Relaying With
Low-Precision ADCs/DACs. ...
Aubry, A., +, TSP 2020 2231-2243 Analog-digital conversion Bayes-Optimal MMSE Detector for Massive MIMO Relaying With Low-Precision ADCs/DACs. ...
doi:10.1109/tsp.2021.3055469
fatcat:6uswtuxm5ba6zahdwh5atxhcsy
Massive MIMO Systems with Low-Resolution ADCs: Achievable Rates and Allocation of Quantization Bits
2023
Wireless Communications and Mobile Computing
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In this work, the uplink achievable rates of massive MIMO systems with low-resolution ADCs are studied with consideration of both "Uniform-ADC" that uses ADCs with the same number of quantization bits ...
It is found that the optimal quantization bits allocation for LMMSE is Mixed-ADCs with number of quantization bits that are polarized, while Uniform-ADC is optimal for MRC and ZF. ...
Acknowledgments This work was supported in part by National Natural Science Foundation of China (Nos. 61701198 and 62171204), Six Talent Peak High Level Talent Plan Projects of Jiangsu Province (N0XYDXX ...
doi:10.1155/2023/4012841
fatcat:vocxefjjsvdsln53dxbxtrfgo4
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