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MIMO Communications and Signal Processing

Efficient Techniques for In-band System Information Broadcast in Multi-cell Massive MIMO

Saif Khan Mohammed

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Authors:
Saif Khan Mohammed
Jinu Jayachandran, Kamal Biswas, Saif Khan Mohammed, Erik G. Larsson
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20 May 2020 - 1:16am
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Efficient Techniques for In-band System Information Broadcast in Multi-cell Massive MIMO

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[1] Jinu Jayachandran, Kamal Biswas, Saif Khan Mohammed, Erik G. Larsson, "Efficient Techniques for In-band System Information Broadcast in Multi-cell Massive MIMO", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5402. Accessed: Sep. 19, 2020.
@article{5402-20,
url = {http://sigport.org/5402},
author = {Jinu Jayachandran; Kamal Biswas; Saif Khan Mohammed; Erik G. Larsson },
publisher = {IEEE SigPort},
title = {Efficient Techniques for In-band System Information Broadcast in Multi-cell Massive MIMO},
year = {2020} }
TY - EJOUR
T1 - Efficient Techniques for In-band System Information Broadcast in Multi-cell Massive MIMO
AU - Jinu Jayachandran; Kamal Biswas; Saif Khan Mohammed; Erik G. Larsson
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5402
ER -
Jinu Jayachandran, Kamal Biswas, Saif Khan Mohammed, Erik G. Larsson. (2020). Efficient Techniques for In-band System Information Broadcast in Multi-cell Massive MIMO. IEEE SigPort. http://sigport.org/5402
Jinu Jayachandran, Kamal Biswas, Saif Khan Mohammed, Erik G. Larsson, 2020. Efficient Techniques for In-band System Information Broadcast in Multi-cell Massive MIMO. Available at: http://sigport.org/5402.
Jinu Jayachandran, Kamal Biswas, Saif Khan Mohammed, Erik G. Larsson. (2020). "Efficient Techniques for In-band System Information Broadcast in Multi-cell Massive MIMO." Web.
1. Jinu Jayachandran, Kamal Biswas, Saif Khan Mohammed, Erik G. Larsson. Efficient Techniques for In-band System Information Broadcast in Multi-cell Massive MIMO [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5402

Theoretical Performance Bound of Uplink Channel Estimation Accuracy in Massive MIMO

Alexander Osinsky
Andrey Ivanov

In this paper, we present a new performance bound for uplink channel estimation (CE) accuracy in the Massive Multiple Input Multiple Output (MIMO) system. The proposed approach is based on noise power calculation after the CE unit in a multi-antenna receiver. Each time the impulse response of ideal channel estimation is decomposed into separate taps (beams) and cross-covariance matrix is calculated between them.

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Authors:
Alexander Osinsky
Andrey Ivanov
Alexander Osinsky, Andrey Ivanov, Dmitry Yarotsky
Submitted On:
14 May 2020 - 5:26am
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[1] Alexander Osinsky, Andrey Ivanov, Dmitry Yarotsky, "Theoretical Performance Bound of Uplink Channel Estimation Accuracy in Massive MIMO", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5276. Accessed: Sep. 19, 2020.
@article{5276-20,
url = {http://sigport.org/5276},
author = {Alexander Osinsky; Andrey Ivanov; Dmitry Yarotsky },
publisher = {IEEE SigPort},
title = {Theoretical Performance Bound of Uplink Channel Estimation Accuracy in Massive MIMO},
year = {2020} }
TY - EJOUR
T1 - Theoretical Performance Bound of Uplink Channel Estimation Accuracy in Massive MIMO
AU - Alexander Osinsky; Andrey Ivanov; Dmitry Yarotsky
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5276
ER -
Alexander Osinsky, Andrey Ivanov, Dmitry Yarotsky. (2020). Theoretical Performance Bound of Uplink Channel Estimation Accuracy in Massive MIMO. IEEE SigPort. http://sigport.org/5276
Alexander Osinsky, Andrey Ivanov, Dmitry Yarotsky, 2020. Theoretical Performance Bound of Uplink Channel Estimation Accuracy in Massive MIMO. Available at: http://sigport.org/5276.
Alexander Osinsky, Andrey Ivanov, Dmitry Yarotsky. (2020). "Theoretical Performance Bound of Uplink Channel Estimation Accuracy in Massive MIMO." Web.
1. Alexander Osinsky, Andrey Ivanov, Dmitry Yarotsky. Theoretical Performance Bound of Uplink Channel Estimation Accuracy in Massive MIMO [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5276

Passive Intelligent Surface Assisted MIMO Powered Sustainable IoT

Deepak Mishra

Lately, Passive Intelligent Surfaces (PIS) are being recognized to play an important role in meeting the timely demand of low-cost green sustainable Internet of Things (IoT). In this paper, we focus on maximizing the sum received power among the energy harvesting IoT users by jointly optimizing the active precoder for multiantenna power beacon and the passive constant-envelope precoding based phase shifters (PS) design for PIS.

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Authors:
Deepak Mishra
Deepak Mishra, Erik G. Larsson
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13 May 2020 - 10:50pm
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Presentation slides for Paper #4635 at IEEE ICASSP 2020

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[1] Deepak Mishra, Erik G. Larsson, "Passive Intelligent Surface Assisted MIMO Powered Sustainable IoT", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5206. Accessed: Sep. 19, 2020.
@article{5206-20,
url = {http://sigport.org/5206},
author = {Deepak Mishra; Erik G. Larsson },
publisher = {IEEE SigPort},
title = {Passive Intelligent Surface Assisted MIMO Powered Sustainable IoT},
year = {2020} }
TY - EJOUR
T1 - Passive Intelligent Surface Assisted MIMO Powered Sustainable IoT
AU - Deepak Mishra; Erik G. Larsson
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5206
ER -
Deepak Mishra, Erik G. Larsson. (2020). Passive Intelligent Surface Assisted MIMO Powered Sustainable IoT. IEEE SigPort. http://sigport.org/5206
Deepak Mishra, Erik G. Larsson, 2020. Passive Intelligent Surface Assisted MIMO Powered Sustainable IoT. Available at: http://sigport.org/5206.
Deepak Mishra, Erik G. Larsson. (2020). "Passive Intelligent Surface Assisted MIMO Powered Sustainable IoT." Web.
1. Deepak Mishra, Erik G. Larsson. Passive Intelligent Surface Assisted MIMO Powered Sustainable IoT [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5206

Optimizing Backscattering Coefficient Design for Minimizing BER at Monostatic MIMO Reader Deepak Mishra

Deepak Mishra

We present a novel monostatic backscatter communication (BSC) protocol for multiple-input-multiple-output (MIMO) reader to detect signals from a single-antenna tag. Understanding tags resource constraints, it involves new preamble designing that neither requires pilot transmission from tag nor channel estimation at reader. So, considering the maximum likelihood detector, we derive closed-form expressions for the optimal detection threshold and bit error rate (BER) by exploiting practically-motivated approximations for shortrange BSC channels.

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Authors:
Deepak Mishra
Deepak Mishra, Jinhong Yuan
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13 May 2020 - 10:45pm
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Presentation slides for Paper #4694 at IEEE ICASSP 2020

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[1] Deepak Mishra, Jinhong Yuan, "Optimizing Backscattering Coefficient Design for Minimizing BER at Monostatic MIMO Reader Deepak Mishra", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5204. Accessed: Sep. 19, 2020.
@article{5204-20,
url = {http://sigport.org/5204},
author = {Deepak Mishra; Jinhong Yuan },
publisher = {IEEE SigPort},
title = {Optimizing Backscattering Coefficient Design for Minimizing BER at Monostatic MIMO Reader Deepak Mishra},
year = {2020} }
TY - EJOUR
T1 - Optimizing Backscattering Coefficient Design for Minimizing BER at Monostatic MIMO Reader Deepak Mishra
AU - Deepak Mishra; Jinhong Yuan
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5204
ER -
Deepak Mishra, Jinhong Yuan. (2020). Optimizing Backscattering Coefficient Design for Minimizing BER at Monostatic MIMO Reader Deepak Mishra. IEEE SigPort. http://sigport.org/5204
Deepak Mishra, Jinhong Yuan, 2020. Optimizing Backscattering Coefficient Design for Minimizing BER at Monostatic MIMO Reader Deepak Mishra. Available at: http://sigport.org/5204.
Deepak Mishra, Jinhong Yuan. (2020). "Optimizing Backscattering Coefficient Design for Minimizing BER at Monostatic MIMO Reader Deepak Mishra." Web.
1. Deepak Mishra, Jinhong Yuan. Optimizing Backscattering Coefficient Design for Minimizing BER at Monostatic MIMO Reader Deepak Mishra [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5204

Hybrid Precoding for Secure Transmission in Reflect-Array-Assisted Massive MIMO Systems

Rafael Schaefer
H Vincent Poor

Recently, a hybrid analog-digital architecture has been proposed for multiuser MIMO transmission in the millimeter-wave spectrum using reflect-arrays. The architecture exhibits scalability and high energy-efficiency while keeping the transmitter cost-efficient. Inspired by this architecture, we design a secure multiuser hybrid analog-digital precoding scheme. This scheme utilizes the method of regularized least-squares to shape the downlink beamformers, such that the signal received via malicious terminals is effectively suppressed.

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Authors:
Rafael Schaefer
H Vincent Poor
Saba Asaad, Rafael F. Schaefer, and H. Vincent Poor
Submitted On:
11 May 2020 - 11:25am
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icassp20_irs_tak.pdf

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[1] Saba Asaad, Rafael F. Schaefer, and H. Vincent Poor, "Hybrid Precoding for Secure Transmission in Reflect-Array-Assisted Massive MIMO Systems", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5131. Accessed: Sep. 19, 2020.
@article{5131-20,
url = {http://sigport.org/5131},
author = {Saba Asaad; Rafael F. Schaefer; and H. Vincent Poor },
publisher = {IEEE SigPort},
title = {Hybrid Precoding for Secure Transmission in Reflect-Array-Assisted Massive MIMO Systems},
year = {2020} }
TY - EJOUR
T1 - Hybrid Precoding for Secure Transmission in Reflect-Array-Assisted Massive MIMO Systems
AU - Saba Asaad; Rafael F. Schaefer; and H. Vincent Poor
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5131
ER -
Saba Asaad, Rafael F. Schaefer, and H. Vincent Poor. (2020). Hybrid Precoding for Secure Transmission in Reflect-Array-Assisted Massive MIMO Systems. IEEE SigPort. http://sigport.org/5131
Saba Asaad, Rafael F. Schaefer, and H. Vincent Poor, 2020. Hybrid Precoding for Secure Transmission in Reflect-Array-Assisted Massive MIMO Systems. Available at: http://sigport.org/5131.
Saba Asaad, Rafael F. Schaefer, and H. Vincent Poor. (2020). "Hybrid Precoding for Secure Transmission in Reflect-Array-Assisted Massive MIMO Systems." Web.
1. Saba Asaad, Rafael F. Schaefer, and H. Vincent Poor. Hybrid Precoding for Secure Transmission in Reflect-Array-Assisted Massive MIMO Systems [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5131

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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WCSLP_GSIP.pdf

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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: Sep. 19, 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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Sai Subramanyam Thoota
Sai Subramanyam Thoota, Chandra Murthy, Ramesh Annavajjala
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25 October 2019 - 12:53am
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Poster_MLSP2019.pdf

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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: Sep. 19, 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: Sep. 19, 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: Sep. 19, 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
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10 May 2019 - 9:16am
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ICASSP 2019 Slide.pdf

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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: Sep. 19, 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

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