Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Oversampling in One-Bit Quantized Massive MIMO Systems and Performance Analysis
Date
2018-12-01
Author
Üçüncü, Ali Bulut
Yılmaz, Ali Özgür
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
236
views
0
downloads
Cite This
Low-resolution analog-to-digital converters (ADCs) have attracted much attention lately for massive multiple-input multiple-output (MIMO) communication and systems with large bandwidth. Especially, 1-bit ADCs are suitable for such systems due to their low-power consumption and cast. In this paper, we illustrate the benefits of using faster than symbol rate (FTSR) sampling in an uplink massive MIMO system with 1-bit ADCs in terms of symbol error rate (SER). We show that the FTSR sampling provides about 5-dB signal-to-noise ratio (SNR) advantage in terms of SER and achievable rate with a linear zeroforcing-type receiver. We also develop analytical bounds on the SER and achievable rate performance of uplink massive MIMO structures with 1-bit quantization for the FTSR scenario for the whole SNR region. The proposed analytical hound holds not only for the FTSR case but also to yield more accurate results compared with some other analytical expressions in the literature. Our results establish a tradeoff between temporal oversampling and the number of receive antennas.
Subject Keywords
Analog-to-digital converter
,
Channel estimation
,
Massive MIMO
,
One-bit quantization
,
Performance analysis
,
Temporal oversampling
URI
https://hdl.handle.net/11511/44785
Journal
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
DOI
https://doi.org/10.1109/twc.2018.2873300
Collections
Department of Electrical and Electronics Engineering, Article
Suggestions
OpenMETU
Core
Performance Analysis of Faster than Symbol Rate Sampling in 1-Bit Massive MIMO Systems
Üçüncü, Ali Bulut; Yılmaz, Ali Özgür (2017-05-25)
Low resolution analog-to-digital converters (ADC) attracted much attention lately for massive multiple-input multiple-output (MIMO) communication and systems with high bandwidth. Especially, 1-bit ADCs are suitable for such systems due to their low power consumption and cost. In this study, we illustrate the benefits of using faster than symbol rate (FTSR) sampling in an uplink massive MIMO system with 1-bit ADCs in terms of symbol error rate (SER). We show that FTSR sampling provides about 4 dB signal-to-n...
Pseudo-random quantization based detection in one-bit massive MIMO systems
Yılmaz, Gökhan; Yılmaz, Ali Özgür; Department of Electrical and Electronics Engineering (2023-1-18)
Analog-to-digital converter (ADC) units are one of the most power-hungry devices in the radio-frequency (RF) chains of massive multiple-input multiple-output (MIMO) systems. Therefore, utilizing low-resolution ADCs in uplink massive MIMO systems is a practical solution to decrease power consumption. However, when high modulation orders are employed for high-rate communication, the achievable rate saturates after a finite SNR value due to the stochastic resonance (SR) phenomenon. This thesis proposes a novel...
Performance of One-Bit Massive MIMO With Oversampling Under Adjacent Channel Interference
Üçüncü, Ali Bulut; Johansson, Hakan; Yılmaz, Ali Özgür (2019-01-01)
Massive multiple-input multiple-output (MIMO) systems have attracted much attention lately due to the many advantages they provide over single-antenna systems. Owing to the many antennas, low-cost implementation and low power consumption per antenna are desired. To that end, massive MIMO structures with one-bit analog-to-digital converters (ADC) have been investigated in many studies. However, the effect of a strong interferer in the adjacent band on one-bit quantized massive MIMO systems have not been exam...
Massive Multiple-Input Multiple-Output Communication Systems with Low-Resolution Quantizers
Üçüncü, Ali Bulut; Yılmaz, Ali Özgür; Department of Electrical and Electronics Engineering (2021-12-2)
Low resolution analog-to-digital converters (ADC) attracted much attention for their use inmassivemultiple-inputmultiple-output (MIMO) systems due to their low power consumption and cost. In this thesis, we question whether large number of antennas present in massive MIMO is sufficient to provide an ultimate performance or additional sampling in time (temporal oversampling) will provide significant performance advantages. To begin with, we illustrate the benefits of oversampling in time for uplink massive M...
Iterative Frequency Domain Equalization for Single-Carrier Wideband MIMO Channels
Güvensen, Gökhan Muzaffer; Yılmaz, Ali Özgür (2009-09-16)
Single carrier frequency domain equalization (SC-FDE) is receiving considerable attention recently due to its comparable complexity and performance with OFDM. In this paper, an iterative SC-FDE with decision feedback in frequency domain is proposed for wideband multiple-input multiple-output (MIMO) channels and more general multipath vector channels as a generalization of previous works considering FDE with decision feedback for single-input single-output (SISO) systems. The proposed detector is based on it...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
A. B. Üçüncü and A. Ö. Yılmaz, “Oversampling in One-Bit Quantized Massive MIMO Systems and Performance Analysis,”
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
, pp. 7952–7964, 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/44785.