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MIMO Communications and Signal Processing

PERFORMANCE OF INTERLEAVED TRAINING FOR SINGLE-USER HYBRID MASSIVE ANTENNA DOWNLINK


In this paper, we study the beam-based training design for the single-user (SU) hybrid massive antenna system based on outage probability performance. First, an interleaved training design is proposed where the feedback is concatenated with the training procedure to monitor the training status and to have the training length adaptive to the channel realization. Then, the average training length and outage probability are derived for the proposed interleaved training and SU transmission.

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19 April 2018 - 5:13pm
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[1] , "PERFORMANCE OF INTERLEAVED TRAINING FOR SINGLE-USER HYBRID MASSIVE ANTENNA DOWNLINK", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3029. Accessed: May. 25, 2018.
@article{3029-18,
url = {http://sigport.org/3029},
author = { },
publisher = {IEEE SigPort},
title = {PERFORMANCE OF INTERLEAVED TRAINING FOR SINGLE-USER HYBRID MASSIVE ANTENNA DOWNLINK},
year = {2018} }
TY - EJOUR
T1 - PERFORMANCE OF INTERLEAVED TRAINING FOR SINGLE-USER HYBRID MASSIVE ANTENNA DOWNLINK
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3029
ER -
. (2018). PERFORMANCE OF INTERLEAVED TRAINING FOR SINGLE-USER HYBRID MASSIVE ANTENNA DOWNLINK. IEEE SigPort. http://sigport.org/3029
, 2018. PERFORMANCE OF INTERLEAVED TRAINING FOR SINGLE-USER HYBRID MASSIVE ANTENNA DOWNLINK. Available at: http://sigport.org/3029.
. (2018). "PERFORMANCE OF INTERLEAVED TRAINING FOR SINGLE-USER HYBRID MASSIVE ANTENNA DOWNLINK." Web.
1. . PERFORMANCE OF INTERLEAVED TRAINING FOR SINGLE-USER HYBRID MASSIVE ANTENNA DOWNLINK [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3029

PARALLEL BEAMFORMING DESIGN IN FULL DUPLEX SYSTEMS WITH PER-ANTENNA POWER CONSTRAINTS


We investigate the max-min weighted downlink signal-to-interference ratio (SINR) problem under uplink SINR
constraints and practical per-antenna constraints in full-duplex systems. The successive convex approximation (SCA)

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Authors:
Ruijin Sun, Ying Wang, Runcong Su, Yuanfei Liu
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19 April 2018 - 4:24pm
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ICASSP_2018.pdf

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[1] Ruijin Sun, Ying Wang, Runcong Su, Yuanfei Liu, "PARALLEL BEAMFORMING DESIGN IN FULL DUPLEX SYSTEMS WITH PER-ANTENNA POWER CONSTRAINTS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3020. Accessed: May. 25, 2018.
@article{3020-18,
url = {http://sigport.org/3020},
author = {Ruijin Sun; Ying Wang; Runcong Su; Yuanfei Liu },
publisher = {IEEE SigPort},
title = {PARALLEL BEAMFORMING DESIGN IN FULL DUPLEX SYSTEMS WITH PER-ANTENNA POWER CONSTRAINTS},
year = {2018} }
TY - EJOUR
T1 - PARALLEL BEAMFORMING DESIGN IN FULL DUPLEX SYSTEMS WITH PER-ANTENNA POWER CONSTRAINTS
AU - Ruijin Sun; Ying Wang; Runcong Su; Yuanfei Liu
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3020
ER -
Ruijin Sun, Ying Wang, Runcong Su, Yuanfei Liu. (2018). PARALLEL BEAMFORMING DESIGN IN FULL DUPLEX SYSTEMS WITH PER-ANTENNA POWER CONSTRAINTS. IEEE SigPort. http://sigport.org/3020
Ruijin Sun, Ying Wang, Runcong Su, Yuanfei Liu, 2018. PARALLEL BEAMFORMING DESIGN IN FULL DUPLEX SYSTEMS WITH PER-ANTENNA POWER CONSTRAINTS. Available at: http://sigport.org/3020.
Ruijin Sun, Ying Wang, Runcong Su, Yuanfei Liu. (2018). "PARALLEL BEAMFORMING DESIGN IN FULL DUPLEX SYSTEMS WITH PER-ANTENNA POWER CONSTRAINTS." Web.
1. Ruijin Sun, Ying Wang, Runcong Su, Yuanfei Liu. PARALLEL BEAMFORMING DESIGN IN FULL DUPLEX SYSTEMS WITH PER-ANTENNA POWER CONSTRAINTS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3020

FDD Channel Spatial Covariance Conversion Using Projection Methods


Knowledge of second-order statistics of channels (e.g. in the form of covariance matrices) is crucial for the acquisition of downlink channel state information (CSI) in massive MIMO systems operating in the frequency division duplexing (FDD) mode. Current MIMO systems usually obtain downlink covariance information via feedback of the estimated covariance matrix from the user equipment (UE), but in the massive MIMO regime this approach is infeasible because of the unacceptably high training overhead.

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Authors:
Lorenzo Miretti, Renato L.G. Cavalcante, Slawomir Stanczak
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16 April 2018 - 10:40am
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[1] Lorenzo Miretti, Renato L.G. Cavalcante, Slawomir Stanczak, "FDD Channel Spatial Covariance Conversion Using Projection Methods", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2827. Accessed: May. 25, 2018.
@article{2827-18,
url = {http://sigport.org/2827},
author = {Lorenzo Miretti; Renato L.G. Cavalcante; Slawomir Stanczak },
publisher = {IEEE SigPort},
title = {FDD Channel Spatial Covariance Conversion Using Projection Methods},
year = {2018} }
TY - EJOUR
T1 - FDD Channel Spatial Covariance Conversion Using Projection Methods
AU - Lorenzo Miretti; Renato L.G. Cavalcante; Slawomir Stanczak
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2827
ER -
Lorenzo Miretti, Renato L.G. Cavalcante, Slawomir Stanczak. (2018). FDD Channel Spatial Covariance Conversion Using Projection Methods. IEEE SigPort. http://sigport.org/2827
Lorenzo Miretti, Renato L.G. Cavalcante, Slawomir Stanczak, 2018. FDD Channel Spatial Covariance Conversion Using Projection Methods. Available at: http://sigport.org/2827.
Lorenzo Miretti, Renato L.G. Cavalcante, Slawomir Stanczak. (2018). "FDD Channel Spatial Covariance Conversion Using Projection Methods." Web.
1. Lorenzo Miretti, Renato L.G. Cavalcante, Slawomir Stanczak. FDD Channel Spatial Covariance Conversion Using Projection Methods [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2827

Semi-blind Channel Estimation in Massive MIMO Systems with Different Priors on Data Symbols


This paper investigates semi-blind channel estimation in massive multiple-input multiple-output (MIMO) systems using different priors on data symbols. We derive two tractable expectation-maximization (EM) based channel estimation algorithms; one based on a Gaussian prior and the other one based on a Gaussian mixture model (GMM) for the unknown data symbols. The numerical results show that the semi-blind estimation schemes provide better channel estimates compared with the estimation based on training sequences only.

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Authors:
Elina Nayebi, Bhaskar D. Rao
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14 April 2018 - 1:30am
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ICASSP 2018 Semi-Blind Channel Estimation.pdf

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[1] Elina Nayebi, Bhaskar D. Rao, "Semi-blind Channel Estimation in Massive MIMO Systems with Different Priors on Data Symbols", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2797. Accessed: May. 25, 2018.
@article{2797-18,
url = {http://sigport.org/2797},
author = {Elina Nayebi; Bhaskar D. Rao },
publisher = {IEEE SigPort},
title = {Semi-blind Channel Estimation in Massive MIMO Systems with Different Priors on Data Symbols},
year = {2018} }
TY - EJOUR
T1 - Semi-blind Channel Estimation in Massive MIMO Systems with Different Priors on Data Symbols
AU - Elina Nayebi; Bhaskar D. Rao
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2797
ER -
Elina Nayebi, Bhaskar D. Rao. (2018). Semi-blind Channel Estimation in Massive MIMO Systems with Different Priors on Data Symbols. IEEE SigPort. http://sigport.org/2797
Elina Nayebi, Bhaskar D. Rao, 2018. Semi-blind Channel Estimation in Massive MIMO Systems with Different Priors on Data Symbols. Available at: http://sigport.org/2797.
Elina Nayebi, Bhaskar D. Rao. (2018). "Semi-blind Channel Estimation in Massive MIMO Systems with Different Priors on Data Symbols." Web.
1. Elina Nayebi, Bhaskar D. Rao. Semi-blind Channel Estimation in Massive MIMO Systems with Different Priors on Data Symbols [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2797

A Refined Analysis of the Gap between Expected Rate for Partial CSIT and the Massive MIMO Rate Limit


Optimal BeamFormers (BFs) that maximize the Weighted Sum Rate
(WSR) for a Multiple-Input Multiple-Output (MIMO) interference
broadcast channel (IBC) remains an important research area. Under
practical scenarios, the problem is compounded by the fact that only
partial channel state information at the transmitter (CSIT) is available.
Hence, a typical choice of the optimization metric is the Expected
Weighted Sum Rate (EWSR). However, the presence of the
expectation operator makes the optimization a daunting task. On the

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Authors:
Dirk Slock
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13 April 2018 - 12:26pm
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[1] Dirk Slock, "A Refined Analysis of the Gap between Expected Rate for Partial CSIT and the Massive MIMO Rate Limit", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2726. Accessed: May. 25, 2018.
@article{2726-18,
url = {http://sigport.org/2726},
author = {Dirk Slock },
publisher = {IEEE SigPort},
title = {A Refined Analysis of the Gap between Expected Rate for Partial CSIT and the Massive MIMO Rate Limit},
year = {2018} }
TY - EJOUR
T1 - A Refined Analysis of the Gap between Expected Rate for Partial CSIT and the Massive MIMO Rate Limit
AU - Dirk Slock
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2726
ER -
Dirk Slock. (2018). A Refined Analysis of the Gap between Expected Rate for Partial CSIT and the Massive MIMO Rate Limit. IEEE SigPort. http://sigport.org/2726
Dirk Slock, 2018. A Refined Analysis of the Gap between Expected Rate for Partial CSIT and the Massive MIMO Rate Limit. Available at: http://sigport.org/2726.
Dirk Slock. (2018). "A Refined Analysis of the Gap between Expected Rate for Partial CSIT and the Massive MIMO Rate Limit." Web.
1. Dirk Slock. A Refined Analysis of the Gap between Expected Rate for Partial CSIT and the Massive MIMO Rate Limit [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2726

Optimal algorithms and CRB for reciprocity calibration in Massive MIMO


Gains from Massive MIMO are crucially dependent on the availability
of channel state information at the transmitter which is far
too costly if it has to estimated directly. Hence, for a time division
duplexing system, this is derived from the uplink channel estimates
using the concept of channel reciprocity. However, while the propagation
channel is reciprocal, the overall digital channel in the downlink
also involves the radio frequency chain which is non-reciprocal.

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Authors:
Dirk Slock
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13 April 2018 - 12:19pm
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OptAlgoRCMM.pdf

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[1] Dirk Slock, "Optimal algorithms and CRB for reciprocity calibration in Massive MIMO", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2723. Accessed: May. 25, 2018.
@article{2723-18,
url = {http://sigport.org/2723},
author = {Dirk Slock },
publisher = {IEEE SigPort},
title = {Optimal algorithms and CRB for reciprocity calibration in Massive MIMO},
year = {2018} }
TY - EJOUR
T1 - Optimal algorithms and CRB for reciprocity calibration in Massive MIMO
AU - Dirk Slock
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2723
ER -
Dirk Slock. (2018). Optimal algorithms and CRB for reciprocity calibration in Massive MIMO. IEEE SigPort. http://sigport.org/2723
Dirk Slock, 2018. Optimal algorithms and CRB for reciprocity calibration in Massive MIMO. Available at: http://sigport.org/2723.
Dirk Slock. (2018). "Optimal algorithms and CRB for reciprocity calibration in Massive MIMO." Web.
1. Dirk Slock. Optimal algorithms and CRB for reciprocity calibration in Massive MIMO [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2723

Three-User MIMO Broadcast Channel with Delayed CSIT: A Higher Achievable DoF


Degrees of freedom (DoF) of the three-user multiple-input multiple-output (MIMO) broadcast channel (BC) with delayed CSIT was derived for most antenna configurations except for the case of 2N < M < 3N, where transmitter has M antennas and each receiver has N antennas. In this paper, for that problem, we propose an effective scheme for acquiring a higher achievable DoF than the value via existing methods. In the initial transmission phase, we transmit more data symbols than the amount that the receivers can instantaneously decode.

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Authors:
Xiongwei Wu, Yinfei Xu, Yao Ge, P. C. Ching
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13 April 2018 - 1:10am
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ICASSP_2018_Poster_SPCOM

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[1] Xiongwei Wu, Yinfei Xu, Yao Ge, P. C. Ching, "Three-User MIMO Broadcast Channel with Delayed CSIT: A Higher Achievable DoF ", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2567. Accessed: May. 25, 2018.
@article{2567-18,
url = {http://sigport.org/2567},
author = {Xiongwei Wu; Yinfei Xu; Yao Ge; P. C. Ching },
publisher = {IEEE SigPort},
title = {Three-User MIMO Broadcast Channel with Delayed CSIT: A Higher Achievable DoF },
year = {2018} }
TY - EJOUR
T1 - Three-User MIMO Broadcast Channel with Delayed CSIT: A Higher Achievable DoF
AU - Xiongwei Wu; Yinfei Xu; Yao Ge; P. C. Ching
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2567
ER -
Xiongwei Wu, Yinfei Xu, Yao Ge, P. C. Ching. (2018). Three-User MIMO Broadcast Channel with Delayed CSIT: A Higher Achievable DoF . IEEE SigPort. http://sigport.org/2567
Xiongwei Wu, Yinfei Xu, Yao Ge, P. C. Ching, 2018. Three-User MIMO Broadcast Channel with Delayed CSIT: A Higher Achievable DoF . Available at: http://sigport.org/2567.
Xiongwei Wu, Yinfei Xu, Yao Ge, P. C. Ching. (2018). "Three-User MIMO Broadcast Channel with Delayed CSIT: A Higher Achievable DoF ." Web.
1. Xiongwei Wu, Yinfei Xu, Yao Ge, P. C. Ching. Three-User MIMO Broadcast Channel with Delayed CSIT: A Higher Achievable DoF [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2567

ACHIEVABLE RATE MAXIMIZATION BY PASSIVE INTELLIGENT MIRRORS

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Authors:
Chongwen Huang, Alessio Zappone, Merouane Debbah, Chau Yuen
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12 April 2018 - 3:49pm
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[1] Chongwen Huang, Alessio Zappone, Merouane Debbah, Chau Yuen, "ACHIEVABLE RATE MAXIMIZATION BY PASSIVE INTELLIGENT MIRRORS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2490. Accessed: May. 25, 2018.
@article{2490-18,
url = {http://sigport.org/2490},
author = {Chongwen Huang; Alessio Zappone; Merouane Debbah; Chau Yuen },
publisher = {IEEE SigPort},
title = {ACHIEVABLE RATE MAXIMIZATION BY PASSIVE INTELLIGENT MIRRORS},
year = {2018} }
TY - EJOUR
T1 - ACHIEVABLE RATE MAXIMIZATION BY PASSIVE INTELLIGENT MIRRORS
AU - Chongwen Huang; Alessio Zappone; Merouane Debbah; Chau Yuen
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2490
ER -
Chongwen Huang, Alessio Zappone, Merouane Debbah, Chau Yuen. (2018). ACHIEVABLE RATE MAXIMIZATION BY PASSIVE INTELLIGENT MIRRORS. IEEE SigPort. http://sigport.org/2490
Chongwen Huang, Alessio Zappone, Merouane Debbah, Chau Yuen, 2018. ACHIEVABLE RATE MAXIMIZATION BY PASSIVE INTELLIGENT MIRRORS. Available at: http://sigport.org/2490.
Chongwen Huang, Alessio Zappone, Merouane Debbah, Chau Yuen. (2018). "ACHIEVABLE RATE MAXIMIZATION BY PASSIVE INTELLIGENT MIRRORS." Web.
1. Chongwen Huang, Alessio Zappone, Merouane Debbah, Chau Yuen. ACHIEVABLE RATE MAXIMIZATION BY PASSIVE INTELLIGENT MIRRORS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2490

ANTENNA SELECTION FOR LARGE-SCALE MIMO SYSTEMS WITH LOW-RESOLUTION ADCS

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Authors:
Jinseok Choi, Junmo Sung, Brian L. Evans, Alan Gatherer
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12 April 2018 - 3:42pm
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ICASSP18_AntennaSelection_final.pdf

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[1] Jinseok Choi, Junmo Sung, Brian L. Evans, Alan Gatherer, "ANTENNA SELECTION FOR LARGE-SCALE MIMO SYSTEMS WITH LOW-RESOLUTION ADCS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2489. Accessed: May. 25, 2018.
@article{2489-18,
url = {http://sigport.org/2489},
author = {Jinseok Choi; Junmo Sung; Brian L. Evans; Alan Gatherer },
publisher = {IEEE SigPort},
title = {ANTENNA SELECTION FOR LARGE-SCALE MIMO SYSTEMS WITH LOW-RESOLUTION ADCS},
year = {2018} }
TY - EJOUR
T1 - ANTENNA SELECTION FOR LARGE-SCALE MIMO SYSTEMS WITH LOW-RESOLUTION ADCS
AU - Jinseok Choi; Junmo Sung; Brian L. Evans; Alan Gatherer
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2489
ER -
Jinseok Choi, Junmo Sung, Brian L. Evans, Alan Gatherer. (2018). ANTENNA SELECTION FOR LARGE-SCALE MIMO SYSTEMS WITH LOW-RESOLUTION ADCS. IEEE SigPort. http://sigport.org/2489
Jinseok Choi, Junmo Sung, Brian L. Evans, Alan Gatherer, 2018. ANTENNA SELECTION FOR LARGE-SCALE MIMO SYSTEMS WITH LOW-RESOLUTION ADCS. Available at: http://sigport.org/2489.
Jinseok Choi, Junmo Sung, Brian L. Evans, Alan Gatherer. (2018). "ANTENNA SELECTION FOR LARGE-SCALE MIMO SYSTEMS WITH LOW-RESOLUTION ADCS." Web.
1. Jinseok Choi, Junmo Sung, Brian L. Evans, Alan Gatherer. ANTENNA SELECTION FOR LARGE-SCALE MIMO SYSTEMS WITH LOW-RESOLUTION ADCS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2489

Narrowband Channel Estimation for Hybrid Beamforming Millimeter Wave Communication Systems with One-Bit Quantization


Millimeter wave (mmWave) spectrum has drawn attention due to its tremendous available bandwidth. The high propagation losses in the mmWave bands necessitate beamforming with a large number of antennas. Traditionally each antenna is paired with a high-speed analog-to-digital converter (ADC), which results in high power consumption. A hybrid beamforming architecture and one-bit resolution ADCs have been proposed to reduce power consumption. However, analog beamforming and one-bit quantization make channel estimation more challenging.

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Authors:
Junmo Sung, Jinseok Choi, Brian L. Evans
Submitted On:
12 April 2018 - 3:37pm
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Poster

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[1] Junmo Sung, Jinseok Choi, Brian L. Evans, "Narrowband Channel Estimation for Hybrid Beamforming Millimeter Wave Communication Systems with One-Bit Quantization", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2479. Accessed: May. 25, 2018.
@article{2479-18,
url = {http://sigport.org/2479},
author = {Junmo Sung; Jinseok Choi; Brian L. Evans },
publisher = {IEEE SigPort},
title = {Narrowband Channel Estimation for Hybrid Beamforming Millimeter Wave Communication Systems with One-Bit Quantization},
year = {2018} }
TY - EJOUR
T1 - Narrowband Channel Estimation for Hybrid Beamforming Millimeter Wave Communication Systems with One-Bit Quantization
AU - Junmo Sung; Jinseok Choi; Brian L. Evans
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2479
ER -
Junmo Sung, Jinseok Choi, Brian L. Evans. (2018). Narrowband Channel Estimation for Hybrid Beamforming Millimeter Wave Communication Systems with One-Bit Quantization. IEEE SigPort. http://sigport.org/2479
Junmo Sung, Jinseok Choi, Brian L. Evans, 2018. Narrowband Channel Estimation for Hybrid Beamforming Millimeter Wave Communication Systems with One-Bit Quantization. Available at: http://sigport.org/2479.
Junmo Sung, Jinseok Choi, Brian L. Evans. (2018). "Narrowband Channel Estimation for Hybrid Beamforming Millimeter Wave Communication Systems with One-Bit Quantization." Web.
1. Junmo Sung, Jinseok Choi, Brian L. Evans. Narrowband Channel Estimation for Hybrid Beamforming Millimeter Wave Communication Systems with One-Bit Quantization [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2479

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