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MIMO Communications and Signal Processing

A Worst Case Performance Optimization Based Design Approach to Robust Symbol Level Precoding for Downlink MU MIMO

Alireza Haqiqatnejad

This paper addresses the optimization problem of symbol-level precoding (SLP) in the downlink of a multiuser multiple-input multiple-output (MU-MIMO) wireless system while the precoder’s output is subject to partially-known distortions. In particular, we assume a linear distortion model with bounded additive noise. The original signal-to-interference-plus-noise ratio (SINR) -constrained SLP problem minimizing the total transmit power is first reformulated as a penalized unconstrained problem, which is referred to as the relaxed robust formulation. We

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Authors:
Alireza Haqiqatnejad
Shahram Shahbazpanahi, Bjorn Ottersten
Submitted On:
18 November 2019 - 1:04pm
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[1] Shahram Shahbazpanahi, Bjorn Ottersten, "A Worst Case Performance Optimization Based Design Approach to Robust Symbol Level Precoding for Downlink MU MIMO", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4960. Accessed: Jan. 18, 2020.
@article{4960-19,
url = {http://sigport.org/4960},
author = {Shahram Shahbazpanahi; Bjorn Ottersten },
publisher = {IEEE SigPort},
title = {A Worst Case Performance Optimization Based Design Approach to Robust Symbol Level Precoding for Downlink MU MIMO},
year = {2019} }
TY - EJOUR
T1 - A Worst Case Performance Optimization Based Design Approach to Robust Symbol Level Precoding for Downlink MU MIMO
AU - Shahram Shahbazpanahi; Bjorn Ottersten
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4960
ER -
Shahram Shahbazpanahi, Bjorn Ottersten. (2019). A Worst Case Performance Optimization Based Design Approach to Robust Symbol Level Precoding for Downlink MU MIMO. IEEE SigPort. http://sigport.org/4960
Shahram Shahbazpanahi, Bjorn Ottersten, 2019. A Worst Case Performance Optimization Based Design Approach to Robust Symbol Level Precoding for Downlink MU MIMO. Available at: http://sigport.org/4960.
Shahram Shahbazpanahi, Bjorn Ottersten. (2019). "A Worst Case Performance Optimization Based Design Approach to Robust Symbol Level Precoding for Downlink MU MIMO." Web.
1. Shahram Shahbazpanahi, Bjorn Ottersten. A Worst Case Performance Optimization Based Design Approach to Robust Symbol Level Precoding for Downlink MU MIMO [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4960

Quantized Variational Bayesian Joint Channel Estimation and Data Detection for Uplink Massive MIMO Systems with Low Resolution ADCs

Sai Subramanyam Thoota

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Authors:
Sai Subramanyam Thoota
Sai Subramanyam Thoota, Chandra Murthy, Ramesh Annavajjala
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25 October 2019 - 12:53am
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[1] Sai Subramanyam Thoota, Chandra Murthy, Ramesh Annavajjala, "Quantized Variational Bayesian Joint Channel Estimation and Data Detection for Uplink Massive MIMO Systems with Low Resolution ADCs", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4892. Accessed: Jan. 18, 2020.
@article{4892-19,
url = {http://sigport.org/4892},
author = {Sai Subramanyam Thoota; Chandra Murthy; Ramesh Annavajjala },
publisher = {IEEE SigPort},
title = {Quantized Variational Bayesian Joint Channel Estimation and Data Detection for Uplink Massive MIMO Systems with Low Resolution ADCs},
year = {2019} }
TY - EJOUR
T1 - Quantized Variational Bayesian Joint Channel Estimation and Data Detection for Uplink Massive MIMO Systems with Low Resolution ADCs
AU - Sai Subramanyam Thoota; Chandra Murthy; Ramesh Annavajjala
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4892
ER -
Sai Subramanyam Thoota, Chandra Murthy, Ramesh Annavajjala. (2019). Quantized Variational Bayesian Joint Channel Estimation and Data Detection for Uplink Massive MIMO Systems with Low Resolution ADCs. IEEE SigPort. http://sigport.org/4892
Sai Subramanyam Thoota, Chandra Murthy, Ramesh Annavajjala, 2019. Quantized Variational Bayesian Joint Channel Estimation and Data Detection for Uplink Massive MIMO Systems with Low Resolution ADCs. Available at: http://sigport.org/4892.
Sai Subramanyam Thoota, Chandra Murthy, Ramesh Annavajjala. (2019). "Quantized Variational Bayesian Joint Channel Estimation and Data Detection for Uplink Massive MIMO Systems with Low Resolution ADCs." Web.
1. Sai Subramanyam Thoota, Chandra Murthy, Ramesh Annavajjala. Quantized Variational Bayesian Joint Channel Estimation and Data Detection for Uplink Massive MIMO Systems with Low Resolution ADCs [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4892

A FAIR AND SCALABLE POWER CONTROL SCHEME IN MULTI-CELL MASSIVE MIMO

Amin Ghazanfari

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Authors:
Amin Ghazanfari
Submitted On:
14 May 2019 - 7:40am
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[1] , "A FAIR AND SCALABLE POWER CONTROL SCHEME IN MULTI-CELL MASSIVE MIMO", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4507. Accessed: Jan. 18, 2020.
@article{4507-19,
url = {http://sigport.org/4507},
author = { },
publisher = {IEEE SigPort},
title = {A FAIR AND SCALABLE POWER CONTROL SCHEME IN MULTI-CELL MASSIVE MIMO},
year = {2019} }
TY - EJOUR
T1 - A FAIR AND SCALABLE POWER CONTROL SCHEME IN MULTI-CELL MASSIVE MIMO
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4507
ER -
. (2019). A FAIR AND SCALABLE POWER CONTROL SCHEME IN MULTI-CELL MASSIVE MIMO. IEEE SigPort. http://sigport.org/4507
, 2019. A FAIR AND SCALABLE POWER CONTROL SCHEME IN MULTI-CELL MASSIVE MIMO. Available at: http://sigport.org/4507.
. (2019). "A FAIR AND SCALABLE POWER CONTROL SCHEME IN MULTI-CELL MASSIVE MIMO." Web.
1. . A FAIR AND SCALABLE POWER CONTROL SCHEME IN MULTI-CELL MASSIVE MIMO [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4507

Deep CNN for Wideband mmWave Massive MIMO Channel Estimation using Frequency Correlation

Peihao Dong

For millimeter wave (mmWave) systems with large-scale arrays, hybrid processing structure is usually used at both transmitters and receivers to reduce the complexity and cost, which poses a very challenging issue in channel estimation, especially at the low transmit signal-to-noise ratio regime. In this paper, deep convolutional neural network (CNN) is employed to perform wideband channel estimation for mmWave massive multiple-input multiple-output (MIMO) systems.

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Authors:
Peihao Dong
Peihao Dong, Hua Zhang, Geoffrey Ye Li, Navid NaderiAlizadeh, Ivan Simões Gaspar
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10 May 2019 - 11:31am
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[1] Peihao Dong, Hua Zhang, Geoffrey Ye Li, Navid NaderiAlizadeh, Ivan Simões Gaspar, "Deep CNN for Wideband mmWave Massive MIMO Channel Estimation using Frequency Correlation", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4364. Accessed: Jan. 18, 2020.
@article{4364-19,
url = {http://sigport.org/4364},
author = {Peihao Dong; Hua Zhang; Geoffrey Ye Li; Navid NaderiAlizadeh; Ivan Simões Gaspar },
publisher = {IEEE SigPort},
title = {Deep CNN for Wideband mmWave Massive MIMO Channel Estimation using Frequency Correlation},
year = {2019} }
TY - EJOUR
T1 - Deep CNN for Wideband mmWave Massive MIMO Channel Estimation using Frequency Correlation
AU - Peihao Dong; Hua Zhang; Geoffrey Ye Li; Navid NaderiAlizadeh; Ivan Simões Gaspar
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4364
ER -
Peihao Dong, Hua Zhang, Geoffrey Ye Li, Navid NaderiAlizadeh, Ivan Simões Gaspar. (2019). Deep CNN for Wideband mmWave Massive MIMO Channel Estimation using Frequency Correlation. IEEE SigPort. http://sigport.org/4364
Peihao Dong, Hua Zhang, Geoffrey Ye Li, Navid NaderiAlizadeh, Ivan Simões Gaspar, 2019. Deep CNN for Wideband mmWave Massive MIMO Channel Estimation using Frequency Correlation. Available at: http://sigport.org/4364.
Peihao Dong, Hua Zhang, Geoffrey Ye Li, Navid NaderiAlizadeh, Ivan Simões Gaspar. (2019). "Deep CNN for Wideband mmWave Massive MIMO Channel Estimation using Frequency Correlation." Web.
1. Peihao Dong, Hua Zhang, Geoffrey Ye Li, Navid NaderiAlizadeh, Ivan Simões Gaspar. Deep CNN for Wideband mmWave Massive MIMO Channel Estimation using Frequency Correlation [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4364

Secure MIMO Interference Channel with Con dential Messages and Delayed CSIT

TONG ZHANG

Slide of Presentation in ICASSP 2019

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Authors:
TONG ZHANG
Tong Zhang, P. C. Ching
Submitted On:
10 May 2019 - 9:16am
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[1] Tong Zhang, P. C. Ching, "Secure MIMO Interference Channel with Con dential Messages and Delayed CSIT", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4325. Accessed: Jan. 18, 2020.
@article{4325-19,
url = {http://sigport.org/4325},
author = {Tong Zhang; P. C. Ching },
publisher = {IEEE SigPort},
title = {Secure MIMO Interference Channel with Con dential Messages and Delayed CSIT},
year = {2019} }
TY - EJOUR
T1 - Secure MIMO Interference Channel with Con dential Messages and Delayed CSIT
AU - Tong Zhang; P. C. Ching
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4325
ER -
Tong Zhang, P. C. Ching. (2019). Secure MIMO Interference Channel with Con dential Messages and Delayed CSIT. IEEE SigPort. http://sigport.org/4325
Tong Zhang, P. C. Ching, 2019. Secure MIMO Interference Channel with Con dential Messages and Delayed CSIT. Available at: http://sigport.org/4325.
Tong Zhang, P. C. Ching. (2019). "Secure MIMO Interference Channel with Con dential Messages and Delayed CSIT." Web.
1. Tong Zhang, P. C. Ching. Secure MIMO Interference Channel with Con dential Messages and Delayed CSIT [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4325

On Massive MIMO Cellular Systems Resilience to Radar Interference

Carmen D'Andrea

In this paper we consider a massive multiple-input multiple output (MIMO) communication system using 5G New Radio compliant

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Authors:
Carmen D'Andrea
Stefano Buzzi, Carmen D'Andrea and Marco Lops
Submitted On:
10 May 2019 - 4:56am
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[1] Stefano Buzzi, Carmen D'Andrea and Marco Lops, "On Massive MIMO Cellular Systems Resilience to Radar Interference", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4291. Accessed: Jan. 18, 2020.
@article{4291-19,
url = {http://sigport.org/4291},
author = {Stefano Buzzi; Carmen D'Andrea and Marco Lops },
publisher = {IEEE SigPort},
title = {On Massive MIMO Cellular Systems Resilience to Radar Interference},
year = {2019} }
TY - EJOUR
T1 - On Massive MIMO Cellular Systems Resilience to Radar Interference
AU - Stefano Buzzi; Carmen D'Andrea and Marco Lops
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4291
ER -
Stefano Buzzi, Carmen D'Andrea and Marco Lops. (2019). On Massive MIMO Cellular Systems Resilience to Radar Interference. IEEE SigPort. http://sigport.org/4291
Stefano Buzzi, Carmen D'Andrea and Marco Lops, 2019. On Massive MIMO Cellular Systems Resilience to Radar Interference. Available at: http://sigport.org/4291.
Stefano Buzzi, Carmen D'Andrea and Marco Lops. (2019). "On Massive MIMO Cellular Systems Resilience to Radar Interference." Web.
1. Stefano Buzzi, Carmen D'Andrea and Marco Lops. On Massive MIMO Cellular Systems Resilience to Radar Interference [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4291

CHANNEL ESTIMATION USING 1-BIT QUANTIZATION AND OVERSAMPLING FOR LARGE-SCALE MULTIPLE-ANTENNA SYSTEMS

Zhichao Shao

Large-scale multiple-antenna systems have been identified as a promising technology for the next generation of wireless systems. However, by scaling up the number of receive antennas the energy consumption will also increase. One possible solution is to use low-resolution analog-to-digital converters at the receiver. This paper considers large-scale multiple-antenna uplink systems with 1-bit analog-to-digital converters on each receive antenna.

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Authors:
Zhichao Shao
Zhichao Shao, Lukas T. N. Landau, Rodrigo C. de Lamare
Submitted On:
9 May 2019 - 12:05pm
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[1] Zhichao Shao, Lukas T. N. Landau, Rodrigo C. de Lamare, "CHANNEL ESTIMATION USING 1-BIT QUANTIZATION AND OVERSAMPLING FOR LARGE-SCALE MULTIPLE-ANTENNA SYSTEMS", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4216. Accessed: Jan. 18, 2020.
@article{4216-19,
url = {http://sigport.org/4216},
author = {Zhichao Shao; Lukas T. N. Landau; Rodrigo C. de Lamare },
publisher = {IEEE SigPort},
title = {CHANNEL ESTIMATION USING 1-BIT QUANTIZATION AND OVERSAMPLING FOR LARGE-SCALE MULTIPLE-ANTENNA SYSTEMS},
year = {2019} }
TY - EJOUR
T1 - CHANNEL ESTIMATION USING 1-BIT QUANTIZATION AND OVERSAMPLING FOR LARGE-SCALE MULTIPLE-ANTENNA SYSTEMS
AU - Zhichao Shao; Lukas T. N. Landau; Rodrigo C. de Lamare
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4216
ER -
Zhichao Shao, Lukas T. N. Landau, Rodrigo C. de Lamare. (2019). CHANNEL ESTIMATION USING 1-BIT QUANTIZATION AND OVERSAMPLING FOR LARGE-SCALE MULTIPLE-ANTENNA SYSTEMS. IEEE SigPort. http://sigport.org/4216
Zhichao Shao, Lukas T. N. Landau, Rodrigo C. de Lamare, 2019. CHANNEL ESTIMATION USING 1-BIT QUANTIZATION AND OVERSAMPLING FOR LARGE-SCALE MULTIPLE-ANTENNA SYSTEMS. Available at: http://sigport.org/4216.
Zhichao Shao, Lukas T. N. Landau, Rodrigo C. de Lamare. (2019). "CHANNEL ESTIMATION USING 1-BIT QUANTIZATION AND OVERSAMPLING FOR LARGE-SCALE MULTIPLE-ANTENNA SYSTEMS." Web.
1. Zhichao Shao, Lukas T. N. Landau, Rodrigo C. de Lamare. CHANNEL ESTIMATION USING 1-BIT QUANTIZATION AND OVERSAMPLING FOR LARGE-SCALE MULTIPLE-ANTENNA SYSTEMS [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4216

Complementary sequence encoding for 1D and 2D constant-modulus OFDM transmission at millimeter wave frequencies

Kyle Willstatter

This paper develops a method for constructing an OFDM signal from a pair of complementary sequences so that the resulting signal is constant-modulus. A recursive method of constructing complementary sequences is developed such that the length of the signal grows linearly with the number of information symbols encoded. The constant-modulus property is exploited at each stage of the backwards symbol-decoding iteration through simple means to progressively reduce noise.

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Authors:
Kyle Willstatter
Kyle Willstatter, Michael D. Zoltowski
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8 May 2019 - 11:58am
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[1] Kyle Willstatter, Michael D. Zoltowski, "Complementary sequence encoding for 1D and 2D constant-modulus OFDM transmission at millimeter wave frequencies", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4119. Accessed: Jan. 18, 2020.
@article{4119-19,
url = {http://sigport.org/4119},
author = {Kyle Willstatter; Michael D. Zoltowski },
publisher = {IEEE SigPort},
title = {Complementary sequence encoding for 1D and 2D constant-modulus OFDM transmission at millimeter wave frequencies},
year = {2019} }
TY - EJOUR
T1 - Complementary sequence encoding for 1D and 2D constant-modulus OFDM transmission at millimeter wave frequencies
AU - Kyle Willstatter; Michael D. Zoltowski
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4119
ER -
Kyle Willstatter, Michael D. Zoltowski. (2019). Complementary sequence encoding for 1D and 2D constant-modulus OFDM transmission at millimeter wave frequencies. IEEE SigPort. http://sigport.org/4119
Kyle Willstatter, Michael D. Zoltowski, 2019. Complementary sequence encoding for 1D and 2D constant-modulus OFDM transmission at millimeter wave frequencies. Available at: http://sigport.org/4119.
Kyle Willstatter, Michael D. Zoltowski. (2019). "Complementary sequence encoding for 1D and 2D constant-modulus OFDM transmission at millimeter wave frequencies." Web.
1. Kyle Willstatter, Michael D. Zoltowski. Complementary sequence encoding for 1D and 2D constant-modulus OFDM transmission at millimeter wave frequencies [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4119

Channel Estimation and Low-complexity Beamforming Design for Passive Intelligent Surface Assisted MISO Wireless Energy Transfer

Deepak Mishra
Hakan Johansson

Usage of passive intelligent surface (PIS) is emerging as a low-cost green alternative to massive antenna systems for realizing high energy beamforming (EB) gains. To maximize its realistic utility, we present a novel channel estimation (CE) protocol for PIS-assisted energy transfer (PET) from a multiantenna power beacon (PB) to a single-antenna energy harvesting (EH) user. Noting the practical limitations of PIS and EH user, all computations are carried out at PB having required active components and radio resources.

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Authors:
Deepak Mishra
Hakan Johansson
Deepak Mishra, Håkan Johansson
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8 May 2019 - 4:49am
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[1] Deepak Mishra, Håkan Johansson, "Channel Estimation and Low-complexity Beamforming Design for Passive Intelligent Surface Assisted MISO Wireless Energy Transfer", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4051. Accessed: Jan. 18, 2020.
@article{4051-19,
url = {http://sigport.org/4051},
author = {Deepak Mishra; Håkan Johansson },
publisher = {IEEE SigPort},
title = {Channel Estimation and Low-complexity Beamforming Design for Passive Intelligent Surface Assisted MISO Wireless Energy Transfer},
year = {2019} }
TY - EJOUR
T1 - Channel Estimation and Low-complexity Beamforming Design for Passive Intelligent Surface Assisted MISO Wireless Energy Transfer
AU - Deepak Mishra; Håkan Johansson
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4051
ER -
Deepak Mishra, Håkan Johansson. (2019). Channel Estimation and Low-complexity Beamforming Design for Passive Intelligent Surface Assisted MISO Wireless Energy Transfer. IEEE SigPort. http://sigport.org/4051
Deepak Mishra, Håkan Johansson, 2019. Channel Estimation and Low-complexity Beamforming Design for Passive Intelligent Surface Assisted MISO Wireless Energy Transfer. Available at: http://sigport.org/4051.
Deepak Mishra, Håkan Johansson. (2019). "Channel Estimation and Low-complexity Beamforming Design for Passive Intelligent Surface Assisted MISO Wireless Energy Transfer." Web.
1. Deepak Mishra, Håkan Johansson. Channel Estimation and Low-complexity Beamforming Design for Passive Intelligent Surface Assisted MISO Wireless Energy Transfer [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4051

[Poster] Localized Random Sampling for Robust Compressive Beam Alignment

Nitin Jonathan Myers
Robert Heath

Compressed sensing (CS)-based beam alignment is a promising solution for rapid link configuration in millimeter wave (mmWave)

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Authors:
Nitin Jonathan Myers
Robert Heath
Nitin Jonathan Myers, Robert W. Heath Jr.
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30 April 2019 - 11:30pm
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[1] Nitin Jonathan Myers, Robert W. Heath Jr., "[Poster] Localized Random Sampling for Robust Compressive Beam Alignment", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/3900. Accessed: Jan. 18, 2020.
@article{3900-19,
url = {http://sigport.org/3900},
author = {Nitin Jonathan Myers; Robert W. Heath Jr. },
publisher = {IEEE SigPort},
title = {[Poster] Localized Random Sampling for Robust Compressive Beam Alignment},
year = {2019} }
TY - EJOUR
T1 - [Poster] Localized Random Sampling for Robust Compressive Beam Alignment
AU - Nitin Jonathan Myers; Robert W. Heath Jr.
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/3900
ER -
Nitin Jonathan Myers, Robert W. Heath Jr.. (2019). [Poster] Localized Random Sampling for Robust Compressive Beam Alignment. IEEE SigPort. http://sigport.org/3900
Nitin Jonathan Myers, Robert W. Heath Jr., 2019. [Poster] Localized Random Sampling for Robust Compressive Beam Alignment. Available at: http://sigport.org/3900.
Nitin Jonathan Myers, Robert W. Heath Jr.. (2019). "[Poster] Localized Random Sampling for Robust Compressive Beam Alignment." Web.
1. Nitin Jonathan Myers, Robert W. Heath Jr.. [Poster] Localized Random Sampling for Robust Compressive Beam Alignment [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/3900

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