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MIMO Communications and Signal Processing

OPTIMAL TRANSCEIVER DESIGN IN MULTI-USER MULTIPLE-INPUT MULTIPLE-OUTPUT WIRELESS NETWORKS

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22 May 2017 - 11:56pm
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Naveen ICASSP17 PhD Forum Paper

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[1] , " OPTIMAL TRANSCEIVER DESIGN IN MULTI-USER MULTIPLE-INPUT MULTIPLE-OUTPUT WIRELESS NETWORKS", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1796. Accessed: Jun. 24, 2017.
@article{1796-17,
url = {http://sigport.org/1796},
author = { },
publisher = {IEEE SigPort},
title = { OPTIMAL TRANSCEIVER DESIGN IN MULTI-USER MULTIPLE-INPUT MULTIPLE-OUTPUT WIRELESS NETWORKS},
year = {2017} }
TY - EJOUR
T1 - OPTIMAL TRANSCEIVER DESIGN IN MULTI-USER MULTIPLE-INPUT MULTIPLE-OUTPUT WIRELESS NETWORKS
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1796
ER -
. (2017). OPTIMAL TRANSCEIVER DESIGN IN MULTI-USER MULTIPLE-INPUT MULTIPLE-OUTPUT WIRELESS NETWORKS. IEEE SigPort. http://sigport.org/1796
, 2017. OPTIMAL TRANSCEIVER DESIGN IN MULTI-USER MULTIPLE-INPUT MULTIPLE-OUTPUT WIRELESS NETWORKS. Available at: http://sigport.org/1796.
. (2017). " OPTIMAL TRANSCEIVER DESIGN IN MULTI-USER MULTIPLE-INPUT MULTIPLE-OUTPUT WIRELESS NETWORKS." Web.
1. . OPTIMAL TRANSCEIVER DESIGN IN MULTI-USER MULTIPLE-INPUT MULTIPLE-OUTPUT WIRELESS NETWORKS [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1796

Time-Domain Channel Estimation for Wideband Millimeter Wave Systems With Hybrid Architecture


Millimeter wave (mmWave) systems will likely employ large antennas at both the transmitter and receiver for directional beamforming. Hybrid analog/digital MIMO architectures have been proposed previously for leveraging both array gain and multiplexing gain, while reducing the power consumption in analog-to-digital converters. Channel knowledge is needed to design the hybrid precoders/combiners, which is difficult to obtain due to the large antenna arrays and the frequency selective nature of the channel.

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Authors:
Kiran Venugopal, Ahmed Alkhateeb, Robert W. Heath, Jr. and Nuria Gonzalez Prelcic
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29 March 2017 - 1:00pm
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Time_domain_ch_est_wideband_hybrid_mmWave_v2.pdf

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[1] Kiran Venugopal, Ahmed Alkhateeb, Robert W. Heath, Jr. and Nuria Gonzalez Prelcic, "Time-Domain Channel Estimation for Wideband Millimeter Wave Systems With Hybrid Architecture", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1785. Accessed: Jun. 24, 2017.
@article{1785-17,
url = {http://sigport.org/1785},
author = {Kiran Venugopal; Ahmed Alkhateeb; Robert W. Heath; Jr. and Nuria Gonzalez Prelcic },
publisher = {IEEE SigPort},
title = {Time-Domain Channel Estimation for Wideband Millimeter Wave Systems With Hybrid Architecture},
year = {2017} }
TY - EJOUR
T1 - Time-Domain Channel Estimation for Wideband Millimeter Wave Systems With Hybrid Architecture
AU - Kiran Venugopal; Ahmed Alkhateeb; Robert W. Heath; Jr. and Nuria Gonzalez Prelcic
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1785
ER -
Kiran Venugopal, Ahmed Alkhateeb, Robert W. Heath, Jr. and Nuria Gonzalez Prelcic. (2017). Time-Domain Channel Estimation for Wideband Millimeter Wave Systems With Hybrid Architecture. IEEE SigPort. http://sigport.org/1785
Kiran Venugopal, Ahmed Alkhateeb, Robert W. Heath, Jr. and Nuria Gonzalez Prelcic, 2017. Time-Domain Channel Estimation for Wideband Millimeter Wave Systems With Hybrid Architecture. Available at: http://sigport.org/1785.
Kiran Venugopal, Ahmed Alkhateeb, Robert W. Heath, Jr. and Nuria Gonzalez Prelcic. (2017). "Time-Domain Channel Estimation for Wideband Millimeter Wave Systems With Hybrid Architecture." Web.
1. Kiran Venugopal, Ahmed Alkhateeb, Robert W. Heath, Jr. and Nuria Gonzalez Prelcic. Time-Domain Channel Estimation for Wideband Millimeter Wave Systems With Hybrid Architecture [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1785

Hybrid Precoding Using Long-term Channel Statistics for Massive MIMO Systems


Hybrid analog/digital precoding in the downlink of multiuser massive MIMO systems can reduce the number of RF chains hence reducing total cost and improving power efficiency. Having few RF chains, however, makes it difficult for a base station to acquire instantaneous channel state information across all antennas. We develop a hybrid technique that uses only long-term (slowly changing) channel statistics in computing the analog precoding matrix. The proposed analog precoder is designed to maximize signal-to-leakage-plusnoise ratio (SLNR) when combined with a baseband precoder.

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Authors:
Sungwoo Park, Jeonghun Park, Robert W. Heath Jr., Ali Yazdan
Submitted On:
13 March 2017 - 2:16am
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ICASSP 17 Hybrid Precoding Using Long-term Channel Statistics for Massive MIMO Systems.pdf

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[1] Sungwoo Park, Jeonghun Park, Robert W. Heath Jr., Ali Yazdan, "Hybrid Precoding Using Long-term Channel Statistics for Massive MIMO Systems", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1755. Accessed: Jun. 24, 2017.
@article{1755-17,
url = {http://sigport.org/1755},
author = {Sungwoo Park; Jeonghun Park; Robert W. Heath Jr.; Ali Yazdan },
publisher = {IEEE SigPort},
title = {Hybrid Precoding Using Long-term Channel Statistics for Massive MIMO Systems},
year = {2017} }
TY - EJOUR
T1 - Hybrid Precoding Using Long-term Channel Statistics for Massive MIMO Systems
AU - Sungwoo Park; Jeonghun Park; Robert W. Heath Jr.; Ali Yazdan
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1755
ER -
Sungwoo Park, Jeonghun Park, Robert W. Heath Jr., Ali Yazdan. (2017). Hybrid Precoding Using Long-term Channel Statistics for Massive MIMO Systems. IEEE SigPort. http://sigport.org/1755
Sungwoo Park, Jeonghun Park, Robert W. Heath Jr., Ali Yazdan, 2017. Hybrid Precoding Using Long-term Channel Statistics for Massive MIMO Systems. Available at: http://sigport.org/1755.
Sungwoo Park, Jeonghun Park, Robert W. Heath Jr., Ali Yazdan. (2017). "Hybrid Precoding Using Long-term Channel Statistics for Massive MIMO Systems." Web.
1. Sungwoo Park, Jeonghun Park, Robert W. Heath Jr., Ali Yazdan. Hybrid Precoding Using Long-term Channel Statistics for Massive MIMO Systems [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1755

Compressed Beam-Selection In Millimeter Wave Systems With Out-of-band Partial Support Information


Compressed beam-selection (CBS) exploits the limited scattering of the millimeter wave (mmWave) channel using compressed sensing (CS) and finds the best beam-pair with limited overhead. The CBS procedure can further benefit from the knowledge of some additional structure in the channel. As mmWave systems are envisioned to be deployed in conjunction with sub-6 GHz systems, we use the spatial information extracted at sub 6 GHz as out-of-band side information about the mmWave channel.

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Authors:
Anum Ali, Robert W. Heath Jr.
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10 March 2017 - 6:02pm
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ICASSP 17 Compressed Beam-Selection In Millimeter Wave Systems With Out-of-band Partial Support Information.pdf

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[1] Anum Ali, Robert W. Heath Jr., "Compressed Beam-Selection In Millimeter Wave Systems With Out-of-band Partial Support Information", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1739. Accessed: Jun. 24, 2017.
@article{1739-17,
url = {http://sigport.org/1739},
author = {Anum Ali; Robert W. Heath Jr. },
publisher = {IEEE SigPort},
title = {Compressed Beam-Selection In Millimeter Wave Systems With Out-of-band Partial Support Information},
year = {2017} }
TY - EJOUR
T1 - Compressed Beam-Selection In Millimeter Wave Systems With Out-of-band Partial Support Information
AU - Anum Ali; Robert W. Heath Jr.
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1739
ER -
Anum Ali, Robert W. Heath Jr.. (2017). Compressed Beam-Selection In Millimeter Wave Systems With Out-of-band Partial Support Information. IEEE SigPort. http://sigport.org/1739
Anum Ali, Robert W. Heath Jr., 2017. Compressed Beam-Selection In Millimeter Wave Systems With Out-of-band Partial Support Information. Available at: http://sigport.org/1739.
Anum Ali, Robert W. Heath Jr.. (2017). "Compressed Beam-Selection In Millimeter Wave Systems With Out-of-band Partial Support Information." Web.
1. Anum Ali, Robert W. Heath Jr.. Compressed Beam-Selection In Millimeter Wave Systems With Out-of-band Partial Support Information [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1739

Iterative Beam Alignment Algorithms for TDD MIMO Systems


We propose two novel, low-complexity techniques for beam alignment in time division duplexing (TDD) multiple-input multiple-output (MIMO) systems. The techniques are inspired by the power method, an iterative algorithm to determine eigenvalues and eigenvectors through repeated matrix multiplications and improve upon this simple idea by providing a better performance in the low-SNR regime. The first technique sequentially constructs a least-squares estimate of the channel matrix, which is then used to calculate the optimal beamformer/combiner pair.

slides.pdf

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Authors:
Dennis Ogbe, David J. Love, Vasanthan Raghavan
Submitted On:
6 March 2017 - 11:23pm
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slides.pdf

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[1] Dennis Ogbe, David J. Love, Vasanthan Raghavan, "Iterative Beam Alignment Algorithms for TDD MIMO Systems", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1675. Accessed: Jun. 24, 2017.
@article{1675-17,
url = {http://sigport.org/1675},
author = {Dennis Ogbe; David J. Love; Vasanthan Raghavan },
publisher = {IEEE SigPort},
title = {Iterative Beam Alignment Algorithms for TDD MIMO Systems},
year = {2017} }
TY - EJOUR
T1 - Iterative Beam Alignment Algorithms for TDD MIMO Systems
AU - Dennis Ogbe; David J. Love; Vasanthan Raghavan
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1675
ER -
Dennis Ogbe, David J. Love, Vasanthan Raghavan. (2017). Iterative Beam Alignment Algorithms for TDD MIMO Systems. IEEE SigPort. http://sigport.org/1675
Dennis Ogbe, David J. Love, Vasanthan Raghavan, 2017. Iterative Beam Alignment Algorithms for TDD MIMO Systems. Available at: http://sigport.org/1675.
Dennis Ogbe, David J. Love, Vasanthan Raghavan. (2017). "Iterative Beam Alignment Algorithms for TDD MIMO Systems." Web.
1. Dennis Ogbe, David J. Love, Vasanthan Raghavan. Iterative Beam Alignment Algorithms for TDD MIMO Systems [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1675

ADC BIT ALLOCATION UNDER A POWER CONSTRAINT FOR MMWAVE MASSIVE MIMO COMMUNICATION RECEIVERS

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Brian Evans, Alan Gatherer
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7 March 2017 - 12:03am
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ADCBitAllocationICASSP17_final.pptx

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[1] Brian Evans, Alan Gatherer, "ADC BIT ALLOCATION UNDER A POWER CONSTRAINT FOR MMWAVE MASSIVE MIMO COMMUNICATION RECEIVERS", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1673. Accessed: Jun. 24, 2017.
@article{1673-17,
url = {http://sigport.org/1673},
author = {Brian Evans; Alan Gatherer },
publisher = {IEEE SigPort},
title = {ADC BIT ALLOCATION UNDER A POWER CONSTRAINT FOR MMWAVE MASSIVE MIMO COMMUNICATION RECEIVERS},
year = {2017} }
TY - EJOUR
T1 - ADC BIT ALLOCATION UNDER A POWER CONSTRAINT FOR MMWAVE MASSIVE MIMO COMMUNICATION RECEIVERS
AU - Brian Evans; Alan Gatherer
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1673
ER -
Brian Evans, Alan Gatherer. (2017). ADC BIT ALLOCATION UNDER A POWER CONSTRAINT FOR MMWAVE MASSIVE MIMO COMMUNICATION RECEIVERS. IEEE SigPort. http://sigport.org/1673
Brian Evans, Alan Gatherer, 2017. ADC BIT ALLOCATION UNDER A POWER CONSTRAINT FOR MMWAVE MASSIVE MIMO COMMUNICATION RECEIVERS. Available at: http://sigport.org/1673.
Brian Evans, Alan Gatherer. (2017). "ADC BIT ALLOCATION UNDER A POWER CONSTRAINT FOR MMWAVE MASSIVE MIMO COMMUNICATION RECEIVERS." Web.
1. Brian Evans, Alan Gatherer. ADC BIT ALLOCATION UNDER A POWER CONSTRAINT FOR MMWAVE MASSIVE MIMO COMMUNICATION RECEIVERS [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1673

Massive MIMO Processing at the Semiconductor Edge: Exploring the System and Circuit Margins for Power Saving


In this work, we consider the potential of processing at the semiconductor edge by allowing voltage over-scaling and complete antenna signal failures, focusing on the per-antenna digital functionality that dominant the DSP complexity. The impact of the resulting hardware errors on the performance of Massive MIMO transmission is analyzed. It shows that the inherent redundancy in the system brings a solid tolerance to sporadic hardware errors. Potential control tactics are introduced, that could further optimize the operation of the error-prone circuitry.

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Authors:
Yanxiang Huang, Claude Desset, André Bourdoux, Wim Dehaene, Liesbet Van der Perre
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3 March 2017 - 7:15am
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SPCOM_L1_6_Huang_v3.pdf

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[1] Yanxiang Huang, Claude Desset, André Bourdoux, Wim Dehaene, Liesbet Van der Perre, "Massive MIMO Processing at the Semiconductor Edge: Exploring the System and Circuit Margins for Power Saving", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1607. Accessed: Jun. 24, 2017.
@article{1607-17,
url = {http://sigport.org/1607},
author = {Yanxiang Huang; Claude Desset; André Bourdoux; Wim Dehaene; Liesbet Van der Perre },
publisher = {IEEE SigPort},
title = {Massive MIMO Processing at the Semiconductor Edge: Exploring the System and Circuit Margins for Power Saving},
year = {2017} }
TY - EJOUR
T1 - Massive MIMO Processing at the Semiconductor Edge: Exploring the System and Circuit Margins for Power Saving
AU - Yanxiang Huang; Claude Desset; André Bourdoux; Wim Dehaene; Liesbet Van der Perre
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1607
ER -
Yanxiang Huang, Claude Desset, André Bourdoux, Wim Dehaene, Liesbet Van der Perre. (2017). Massive MIMO Processing at the Semiconductor Edge: Exploring the System and Circuit Margins for Power Saving. IEEE SigPort. http://sigport.org/1607
Yanxiang Huang, Claude Desset, André Bourdoux, Wim Dehaene, Liesbet Van der Perre, 2017. Massive MIMO Processing at the Semiconductor Edge: Exploring the System and Circuit Margins for Power Saving. Available at: http://sigport.org/1607.
Yanxiang Huang, Claude Desset, André Bourdoux, Wim Dehaene, Liesbet Van der Perre. (2017). "Massive MIMO Processing at the Semiconductor Edge: Exploring the System and Circuit Margins for Power Saving." Web.
1. Yanxiang Huang, Claude Desset, André Bourdoux, Wim Dehaene, Liesbet Van der Perre. Massive MIMO Processing at the Semiconductor Edge: Exploring the System and Circuit Margins for Power Saving [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1607

SDR Approximation Bounds for the Robust Multicast Beamforming Problem with Interference Temperature Constraints

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1 March 2017 - 6:21pm
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RobustSDP_icassp_slides.pdf

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[1] , "SDR Approximation Bounds for the Robust Multicast Beamforming Problem with Interference Temperature Constraints", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1565. Accessed: Jun. 24, 2017.
@article{1565-17,
url = {http://sigport.org/1565},
author = { },
publisher = {IEEE SigPort},
title = {SDR Approximation Bounds for the Robust Multicast Beamforming Problem with Interference Temperature Constraints},
year = {2017} }
TY - EJOUR
T1 - SDR Approximation Bounds for the Robust Multicast Beamforming Problem with Interference Temperature Constraints
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1565
ER -
. (2017). SDR Approximation Bounds for the Robust Multicast Beamforming Problem with Interference Temperature Constraints. IEEE SigPort. http://sigport.org/1565
, 2017. SDR Approximation Bounds for the Robust Multicast Beamforming Problem with Interference Temperature Constraints. Available at: http://sigport.org/1565.
. (2017). "SDR Approximation Bounds for the Robust Multicast Beamforming Problem with Interference Temperature Constraints." Web.
1. . SDR Approximation Bounds for the Robust Multicast Beamforming Problem with Interference Temperature Constraints [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1565

Optimal Transmit Strategy for MIMO Channels with Joint Sum and Per-antenna Power Constraints


This paper studies optimal transmit strategies for multiple-input multiple-output (MIMO) Gaussian channels with joint sum and per-antenna power constraints. It is shown that if an unconstraint optimal allocation for an antenna exceeds a per-antenna power constraint, then the maximal power for this antenna is used in the constraint optimal transmit strategy. This observation is then used in an iterative algorithm to compute the optimal transmit strategy in closed-form. Finally, a numerical example is provided to illustrate the theoretical results.

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Authors:
Phuong Le Cao and Tobias J. Oechtering
Submitted On:
28 February 2017 - 5:48am
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ICASSP17_Poster_v4.pdf

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[1] Phuong Le Cao and Tobias J. Oechtering, "Optimal Transmit Strategy for MIMO Channels with Joint Sum and Per-antenna Power Constraints", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1499. Accessed: Jun. 24, 2017.
@article{1499-17,
url = {http://sigport.org/1499},
author = {Phuong Le Cao and Tobias J. Oechtering },
publisher = {IEEE SigPort},
title = {Optimal Transmit Strategy for MIMO Channels with Joint Sum and Per-antenna Power Constraints},
year = {2017} }
TY - EJOUR
T1 - Optimal Transmit Strategy for MIMO Channels with Joint Sum and Per-antenna Power Constraints
AU - Phuong Le Cao and Tobias J. Oechtering
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1499
ER -
Phuong Le Cao and Tobias J. Oechtering. (2017). Optimal Transmit Strategy for MIMO Channels with Joint Sum and Per-antenna Power Constraints. IEEE SigPort. http://sigport.org/1499
Phuong Le Cao and Tobias J. Oechtering, 2017. Optimal Transmit Strategy for MIMO Channels with Joint Sum and Per-antenna Power Constraints. Available at: http://sigport.org/1499.
Phuong Le Cao and Tobias J. Oechtering. (2017). "Optimal Transmit Strategy for MIMO Channels with Joint Sum and Per-antenna Power Constraints." Web.
1. Phuong Le Cao and Tobias J. Oechtering. Optimal Transmit Strategy for MIMO Channels with Joint Sum and Per-antenna Power Constraints [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1499

A MINORIZATION-MAXIMIZATION (MM) ALGORITHM FOR ARTIFICIAL NOISE (AN)-BASED MIMOME SECRECY RATE MAXIMIZATION


We consider the problem of secrecy rate maximization in a multi-input multi-output multi-eavesdropper (MIMOME) wiretap channel and present an exact solution. A general system model with a multi-antenna eavesdropper and a multi-antenna full-duplex receiver is considered. In particular, we perform joint beamforming and artificial noise optimization in an effort to maximize the achievable secrecy rate. The optimization is performed in the presence of artificial noise generated by both transmitter and legitimate receiver. The resulting optimization problem is non-convex and difficult to solve.

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Authors:
Mudassir Masood, Ali Ghrayeb, Prabhu Babu, Issa Khalil, Mazen Hasna
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7 December 2016 - 2:36am
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A Minorization-Maximization (MM) Algorithm for artificial-noise (AN)-based MIMOME secrecy rate maximization

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[1] Mudassir Masood, Ali Ghrayeb, Prabhu Babu, Issa Khalil, Mazen Hasna, "A MINORIZATION-MAXIMIZATION (MM) ALGORITHM FOR ARTIFICIAL NOISE (AN)-BASED MIMOME SECRECY RATE MAXIMIZATION", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1398. Accessed: Jun. 24, 2017.
@article{1398-16,
url = {http://sigport.org/1398},
author = {Mudassir Masood; Ali Ghrayeb; Prabhu Babu; Issa Khalil; Mazen Hasna },
publisher = {IEEE SigPort},
title = {A MINORIZATION-MAXIMIZATION (MM) ALGORITHM FOR ARTIFICIAL NOISE (AN)-BASED MIMOME SECRECY RATE MAXIMIZATION},
year = {2016} }
TY - EJOUR
T1 - A MINORIZATION-MAXIMIZATION (MM) ALGORITHM FOR ARTIFICIAL NOISE (AN)-BASED MIMOME SECRECY RATE MAXIMIZATION
AU - Mudassir Masood; Ali Ghrayeb; Prabhu Babu; Issa Khalil; Mazen Hasna
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1398
ER -
Mudassir Masood, Ali Ghrayeb, Prabhu Babu, Issa Khalil, Mazen Hasna. (2016). A MINORIZATION-MAXIMIZATION (MM) ALGORITHM FOR ARTIFICIAL NOISE (AN)-BASED MIMOME SECRECY RATE MAXIMIZATION. IEEE SigPort. http://sigport.org/1398
Mudassir Masood, Ali Ghrayeb, Prabhu Babu, Issa Khalil, Mazen Hasna, 2016. A MINORIZATION-MAXIMIZATION (MM) ALGORITHM FOR ARTIFICIAL NOISE (AN)-BASED MIMOME SECRECY RATE MAXIMIZATION. Available at: http://sigport.org/1398.
Mudassir Masood, Ali Ghrayeb, Prabhu Babu, Issa Khalil, Mazen Hasna. (2016). "A MINORIZATION-MAXIMIZATION (MM) ALGORITHM FOR ARTIFICIAL NOISE (AN)-BASED MIMOME SECRECY RATE MAXIMIZATION." Web.
1. Mudassir Masood, Ali Ghrayeb, Prabhu Babu, Issa Khalil, Mazen Hasna. A MINORIZATION-MAXIMIZATION (MM) ALGORITHM FOR ARTIFICIAL NOISE (AN)-BASED MIMOME SECRECY RATE MAXIMIZATION [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1398

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