Sorry, you need to enable JavaScript to visit this website.

MIMO Communications and Signal Processing

Unsupervised Frequency Clustering Algorithm for Null Space Estimation in Wideband Spectrum Sharing Networks


In spectrum sharing networks, a base station (BS)
needs to mitigate the interference to users associated with other
coexisting network in the same band. The BS can achieve this by
transmitting its downlink signal in the null space of channels
to such users. However, under a wideband scenario, the BS
needs to estimate null space matrices using the received signal
from such non-cooperative users in each frequency bin where
the users are active. To reduce the computational complexity

Paper Details

Authors:
Shailesh Chaudhari, Danijela Cabric
Submitted On:
12 November 2017 - 6:20pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

GlobalSIP2017_nullspace_clustering_v7.pdf

(15 downloads)

Keywords

Subscribe

[1] Shailesh Chaudhari, Danijela Cabric, "Unsupervised Frequency Clustering Algorithm for Null Space Estimation in Wideband Spectrum Sharing Networks", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2319. Accessed: Dec. 16, 2017.
@article{2319-17,
url = {http://sigport.org/2319},
author = {Shailesh Chaudhari; Danijela Cabric },
publisher = {IEEE SigPort},
title = {Unsupervised Frequency Clustering Algorithm for Null Space Estimation in Wideband Spectrum Sharing Networks},
year = {2017} }
TY - EJOUR
T1 - Unsupervised Frequency Clustering Algorithm for Null Space Estimation in Wideband Spectrum Sharing Networks
AU - Shailesh Chaudhari; Danijela Cabric
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2319
ER -
Shailesh Chaudhari, Danijela Cabric. (2017). Unsupervised Frequency Clustering Algorithm for Null Space Estimation in Wideband Spectrum Sharing Networks. IEEE SigPort. http://sigport.org/2319
Shailesh Chaudhari, Danijela Cabric, 2017. Unsupervised Frequency Clustering Algorithm for Null Space Estimation in Wideband Spectrum Sharing Networks. Available at: http://sigport.org/2319.
Shailesh Chaudhari, Danijela Cabric. (2017). "Unsupervised Frequency Clustering Algorithm for Null Space Estimation in Wideband Spectrum Sharing Networks." Web.
1. Shailesh Chaudhari, Danijela Cabric. Unsupervised Frequency Clustering Algorithm for Null Space Estimation in Wideband Spectrum Sharing Networks [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2319

FULL-DUPLEX TWO-WAY MIMO RELAYING SYSTEM: TRANSCEIVER DESIGN AND REVIEW OF PHYSICAL LAYER SECURITY


In this paper, we consider the design of optimal transceiver and relay processing algorithms for a full-duplex (FD) two-way amplify-and-forward (AF) multiple-input multiple-output (MIMO) relaying system. We assume the channel state information of loopback self-interference (SI) channels to be imperfect. The nodes employ precoders and receive filters for suppressing the residual SI. The optimal precoders at transceivers are designed by equalising the signal-to-interference-plus-noise ratio at the relay and transceiver.

Paper Details

Authors:
UBAIDULLA PANDARAKKOTTILIL
Submitted On:
9 November 2017 - 2:08pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

GlobalSIP poster.pdf

(15 downloads)

Keywords

Additional Categories

Subscribe

[1] UBAIDULLA PANDARAKKOTTILIL, "FULL-DUPLEX TWO-WAY MIMO RELAYING SYSTEM: TRANSCEIVER DESIGN AND REVIEW OF PHYSICAL LAYER SECURITY", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2274. Accessed: Dec. 16, 2017.
@article{2274-17,
url = {http://sigport.org/2274},
author = {UBAIDULLA PANDARAKKOTTILIL },
publisher = {IEEE SigPort},
title = {FULL-DUPLEX TWO-WAY MIMO RELAYING SYSTEM: TRANSCEIVER DESIGN AND REVIEW OF PHYSICAL LAYER SECURITY},
year = {2017} }
TY - EJOUR
T1 - FULL-DUPLEX TWO-WAY MIMO RELAYING SYSTEM: TRANSCEIVER DESIGN AND REVIEW OF PHYSICAL LAYER SECURITY
AU - UBAIDULLA PANDARAKKOTTILIL
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2274
ER -
UBAIDULLA PANDARAKKOTTILIL. (2017). FULL-DUPLEX TWO-WAY MIMO RELAYING SYSTEM: TRANSCEIVER DESIGN AND REVIEW OF PHYSICAL LAYER SECURITY. IEEE SigPort. http://sigport.org/2274
UBAIDULLA PANDARAKKOTTILIL, 2017. FULL-DUPLEX TWO-WAY MIMO RELAYING SYSTEM: TRANSCEIVER DESIGN AND REVIEW OF PHYSICAL LAYER SECURITY. Available at: http://sigport.org/2274.
UBAIDULLA PANDARAKKOTTILIL. (2017). "FULL-DUPLEX TWO-WAY MIMO RELAYING SYSTEM: TRANSCEIVER DESIGN AND REVIEW OF PHYSICAL LAYER SECURITY." Web.
1. UBAIDULLA PANDARAKKOTTILIL. FULL-DUPLEX TWO-WAY MIMO RELAYING SYSTEM: TRANSCEIVER DESIGN AND REVIEW OF PHYSICAL LAYER SECURITY [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2274

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

Paper Details

Authors:
Submitted On:
22 May 2017 - 11:56pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

Naveen ICASSP17 PhD Forum Paper

(88 downloads)

Keywords

Subscribe

[1] , " OPTIMAL TRANSCEIVER DESIGN IN MULTI-USER MULTIPLE-INPUT MULTIPLE-OUTPUT WIRELESS NETWORKS", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1796. Accessed: Dec. 16, 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.

Paper Details

Authors:
Kiran Venugopal, Ahmed Alkhateeb, Robert W. Heath, Jr. and Nuria Gonzalez Prelcic
Submitted On:
29 March 2017 - 1:00pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

Time_domain_ch_est_wideband_hybrid_mmWave_v2.pdf

(165 downloads)

Keywords

Subscribe

[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: Dec. 16, 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.

Paper Details

Authors:
Sungwoo Park, Jeonghun Park, Robert W. Heath Jr., Ali Yazdan
Submitted On:
13 March 2017 - 2:16am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

ICASSP 17 Hybrid Precoding Using Long-term Channel Statistics for Massive MIMO Systems.pdf

(131 downloads)

Keywords

Subscribe

[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: Dec. 16, 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.

Paper Details

Authors:
Anum Ali, Robert W. Heath Jr.
Submitted On:
10 March 2017 - 6:02pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

ICASSP 17 Compressed Beam-Selection In Millimeter Wave Systems With Out-of-band Partial Support Information.pdf

(107 downloads)

Keywords

Subscribe

[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: Dec. 16, 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

PDF icon slides.pdf (340 downloads)

Paper Details

Authors:
Dennis Ogbe, David J. Love, Vasanthan Raghavan
Submitted On:
6 March 2017 - 11:23pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

slides.pdf

(340 downloads)

Keywords

Subscribe

[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: Dec. 16, 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

Paper Details

Authors:
Brian Evans, Alan Gatherer
Submitted On:
7 March 2017 - 12:03am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

ADCBitAllocationICASSP17_final.pptx

(104 downloads)

Keywords

Subscribe

[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: Dec. 16, 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.

Paper Details

Authors:
Yanxiang Huang, Claude Desset, André Bourdoux, Wim Dehaene, Liesbet Van der Perre
Submitted On:
3 March 2017 - 7:15am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

SPCOM_L1_6_Huang_v3.pdf

(117 downloads)

Keywords

Subscribe

[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: Dec. 16, 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

Paper Details

Authors:
Submitted On:
1 March 2017 - 6:21pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

RobustSDP_icassp_slides.pdf

(100 downloads)

Keywords

Subscribe

[1] , "SDR Approximation Bounds for the Robust Multicast Beamforming Problem with Interference Temperature Constraints", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1565. Accessed: Dec. 16, 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

Pages