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Massive MIMO with Transceiver Hardware Impairments: Performance Analysis and Phase Noise Error Minimization
2019
KSII Transactions on Internet and Information Systems
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Compared to the conventional system with ideal transceiver hardware, our results show that impairments of hardware make a finite upper limit on the user's downlink channel capacity; and as the number of ...
In our approach, we show that by reducing the cell size, the effect of accumulated phase noise during channel estimation time is minimized and hence the user capacity is increased, and the downlink transmit ...
Based on the received signals and pilot sequences, the effective channel is estimated to enable coherent detection of received symbols. ...
doi:10.3837/tiis.2019.05.007
fatcat:hncuykssyvdqxcc3rcdugjg27q
Channel Estimation under Hardware Impairments: Bayesian Methods versus Deep Learning
2019
2019 16th International Symposium on Wireless Communication Systems (ISWCS)
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2022 pre-print arXiv:2208.04033v1 fatcat:rhdvc6lzsbenphsqsi5heb66fe
This paper considers the impact of general hardware impairments in a multiple-antenna base station and user equipments on the uplink performance. ...
First, the effective channels are analytically derived for distortion-aware receivers when using finite-sized signal constellations. ...
We refer to [10] , [11] for further details on deep learning. ...
doi:10.1109/iswcs.2019.8877221
dblp:conf/iswcs/DemirB19
fatcat:gk3prl5jgnedbaqnf4wwdxb32m
Hardware design and optimal ADC resolution for uplink massive MIMO systems
2016
2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)
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The results show the trade-off between the number of BS antennas and the level of hardware impairments, which is important for practical hardware design. ...
A closed-form uplink achievable data rate expression is derived considering imperfect channel state information (CSI) and hardware impairments. ...
In the SINR expression (8) and (9) , the numerator is related to the coherent gain and the denominator accounts for the effects of inter-user interference, channel estimation errors, hardware impairment ...
doi:10.1109/sam.2016.7569654
dblp:conf/ieeesam/VerenzuelaBM16
fatcat:v7k5uq6e3nc2dcn5ktnasbucey
A Survey on Massive MIMO Systems in Presence of Channel and Hardware Impairments
2019
Sensors
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The studies and the results show that hardware impairments and inaccurate channel knowledge can degrade the performance of massive MIMO systems extensively. ...
Another issue is the channel estimation and channel aging effects, especially in fast mobility environments. ...
In this paper we studied the hardware impairment and channel variation and aging effects on both OFDM and SC-FDP waveforms, for massive MIMO systems. ...
doi:10.3390/s19010164
fatcat:qgnrl3jdljf2jgvgqrou55qsju
Performance Analysis of Improved Energy Detector With Hardware Impairments for Accurate Spectrum Sensing
2019
IEEE Access
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The impact of transceiver hardware impairments on the accuracy of spectrum sensing cannot be ignored in low-cost and high data rate cognitive radio systems. ...
An asymptotic analysis studies detection probability over fading channels at a low average signal-to-noiseratio region. ...
Section II presents the System and Signal model for ideal and hardware impaired system configurations. ...
doi:10.1109/access.2019.2892714
fatcat:hcm3rmheifckbds3dvhwgipaje
Cell-Free Massive MIMO: A New Next-Generation Paradigm
2019
IEEE Access
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Additionally, the signal processing techniques invoked for reducing the fronthaul burden for joint channel estimation and for transmit precoding are analyzed. ...
To be more specific, the benefit of the so-called channel hardening and the favorable propagation conditions are exploited. ...
CHANNEL ESTIMATION Accurate channel estimation is important for supporting efficient precoding and signal detection in order to reduce the inter-user interference. ...
doi:10.1109/access.2019.2930208
fatcat:l3y4h6j3uzh6fhnysvtvhx7mdy
Low-Resolution ADCs for Wireless Communication: A Comprehensive Survey
2019
IEEE Access
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INDEX TERMS Low resolution quantization, multi-input and multi-output, channel capacity, channel estimation, automatic gain control, synchronization, receiver, relay system. ...
However, massive MIMO systems are faced with the problems of mass data processing, high hardware cost, and huge total power consumption. ...
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
Current aspects of optical performance monitoring and failure root cause analysis in optical WDM networks
2005
Optical Transmission, Switching, and Subsystems II
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Thus additional spendings for OPM have to be significantly smaller than the savings in OPEX due to increased reliability and ease of operation, administration, and maintenance (OAM). ...
This increases the need for appropriate network monitoring and supervision methods. Optical performance monitoring (OPM) has to be costeffective. ...
technology • No existing component-level solution • Ambiguous results → need for further analysis • High input power necessaryIn summary EAS/OSA are principally well suited for OPM. ...
doi:10.1117/12.579499
fatcat:kvwokna3jfeodlp5kho3v52kdm
Terahertz Wireless Communications with Flexible Index Modulation Aided Pilot Design
[article]
2021
arXiv
pre-print
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Furthermore, a turbo receiving algorithm is developed, which jointly performs the detection of pilot indices and channel estimation in an iterative manner. ...
Analytical and simulation results validate that the proposed schemes achieve significant enhancement of bit-error rate performance and channel estimation accuracy, whilst attaining higher spectral efficiency ...
to update the channel estimate, where the resultant CSI is further fed back for updating the pilot index pattern. ...
arXiv:2106.12146v1
fatcat:hjsa3uedofgqdclooyrf2isz3a
Statistical Study of Hardware Impairments Effect on mmWave 77 GHz FMCW Automotive Radar
2020
2020 IEEE Radar Conference (RadarConf20)
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In this paper, we analyze the effects of hardware impairments on 77GHz FMCW automotive radar performance. ...
We derive the signal to distortion plus noise ratio, constant false alarm rate, and range-Doppler sensitivity analysis for both the joint and the individual effects of impairments and validate the formulations ...
so, they need to know the contribution of each hardware impairment effect on the system performance and the resulting cost for compensation in detailed scales. ...
doi:10.1109/radarconf2043947.2020.9266605
fatcat:5dfsm3t7yrd3zfsz2dvmjbheqm
Optical performance monitoring through signal processing in current and future optical communication systems
2012
The 2012 11th International Conference on Optical Communications and Networks (ICOCN)
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We review the current status of Optical Performance Monitoring(OPM) in deployed optical networks and discuss on emerging OPM trends and challenges brought about by the migration towards coherent communications ...
Future research will further leverage coherent detection and/or various signal processing techniques to fully realize the benefits brought about by OPM to optical networks. ...
However, with coherent systems, advanced modulation formats, digital signal processing (DSP) and dynamic impairment-aware lightpath provisioning, OPM is empowered with new hardware capabilities such as ...
doi:10.1109/icocn.2012.6486236
fatcat:b35ez7wuhfbzfas22225u2hice
Channel Estimation in Massive MIMO under Hardware Non-Linearities: Bayesian Methods versus Deep Learning
[article]
2020
arXiv
pre-print
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Next, two deep feedforward neural networks are designed and trained to estimate the effective channels and the distortion variance at each BS antenna, which are used in signal detection. ...
This paper considers the joint impact of non-linear hardware impairments at the base station (BS) and user equipments (UEs) on the uplink performance of single-cell massive MIMO (multiple-input multiple-output ...
channel estimates for signal detection under general hardware distortion. ...
arXiv:1911.07316v2
fatcat:43rb2gcqgbdr7p2vehwds7vola
Robust Symbol Detection in Overloaded NOMA Systems
[article]
2020
arXiv
pre-print
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The method so obtained, referred to as the IDLS, is then extended to address several factors of practical relevance, such as noisy conditions, imperfect CSI, and hardware impairments, thus yielding the ...
We present a framework for the design of low-complexity and high-performance receivers for multidimensional overloaded NOMA systems. ...
Algorithm 2 Robust IDLS Detector External Input: Received signal y, estimated channel matrix Ĥ, noise power σ 2 n , Gauss-Markov uncertainty parameter τ and hardware impairment parameter η. ...
arXiv:2001.07560v3
fatcat:3ytj3due3zgepdjczkk7y5w2wu
Distributed Spatial Multiplexing Systems with Hardware Impairments and Imperfect Channel Estimation under Rank-1 Rician Fading Channels
[article]
2016
arXiv
pre-print
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Both the analytical expressions and simulation results show the impact of imperfect channel estimation and hardware impairments to the overall system performance in the usage scenarios of massive MIMO ...
The system operates under independent and non-identically distributed rank-1 Rician fading channels with imperfect channel estimation and residual hardware impairments (compensation algorithms are assumed ...
., channel estimation errors and hardware impairments), as expected. ...
arXiv:1610.08073v1
fatcat:fluxuxb3hje3zhwy6qvcpsjeru
Reconfigurable performance measurement system-on-a-chip for baseband wireless algorithm design and verification
2012
IEEE wireless communications
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Index Terms-Wireless communication, bit error rate simulation, radio fading channel, rapid prototyping, hardware accelerator, design verification. ...
This article describes how baseband performance verification of wireless systems can be accelerated by over four orders of magnitude using compact, accurate and high-throughput emulators implemented on ...
The baseband section in the receiver recovers the transmitted data using several signal processing stages including channel estimation, signal detection and channel decoding. ...
doi:10.1109/mwc.2012.6393522
fatcat:f46e6l6sljblnb2tqnatgdi74m
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