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Communications and Networking

IMPORTANCE SAMPLING ESTIMATOR OF OUTAGE PROBABILITY UNDER GENERALIZED SELECTION COMBINING MODEL

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Authors:
Nadhir Ben Rached, Zdravko Botev, Abla Kammoun, Mohamed-Slim Alouini, Raul Tempone
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14 April 2018 - 10:41am
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poster.pdf

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[1] Nadhir Ben Rached, Zdravko Botev, Abla Kammoun, Mohamed-Slim Alouini, Raul Tempone, "IMPORTANCE SAMPLING ESTIMATOR OF OUTAGE PROBABILITY UNDER GENERALIZED SELECTION COMBINING MODEL", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2836. Accessed: Aug. 21, 2018.
@article{2836-18,
url = {http://sigport.org/2836},
author = {Nadhir Ben Rached; Zdravko Botev; Abla Kammoun; Mohamed-Slim Alouini; Raul Tempone },
publisher = {IEEE SigPort},
title = {IMPORTANCE SAMPLING ESTIMATOR OF OUTAGE PROBABILITY UNDER GENERALIZED SELECTION COMBINING MODEL},
year = {2018} }
TY - EJOUR
T1 - IMPORTANCE SAMPLING ESTIMATOR OF OUTAGE PROBABILITY UNDER GENERALIZED SELECTION COMBINING MODEL
AU - Nadhir Ben Rached; Zdravko Botev; Abla Kammoun; Mohamed-Slim Alouini; Raul Tempone
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2836
ER -
Nadhir Ben Rached, Zdravko Botev, Abla Kammoun, Mohamed-Slim Alouini, Raul Tempone. (2018). IMPORTANCE SAMPLING ESTIMATOR OF OUTAGE PROBABILITY UNDER GENERALIZED SELECTION COMBINING MODEL. IEEE SigPort. http://sigport.org/2836
Nadhir Ben Rached, Zdravko Botev, Abla Kammoun, Mohamed-Slim Alouini, Raul Tempone, 2018. IMPORTANCE SAMPLING ESTIMATOR OF OUTAGE PROBABILITY UNDER GENERALIZED SELECTION COMBINING MODEL. Available at: http://sigport.org/2836.
Nadhir Ben Rached, Zdravko Botev, Abla Kammoun, Mohamed-Slim Alouini, Raul Tempone. (2018). "IMPORTANCE SAMPLING ESTIMATOR OF OUTAGE PROBABILITY UNDER GENERALIZED SELECTION COMBINING MODEL." Web.
1. Nadhir Ben Rached, Zdravko Botev, Abla Kammoun, Mohamed-Slim Alouini, Raul Tempone. IMPORTANCE SAMPLING ESTIMATOR OF OUTAGE PROBABILITY UNDER GENERALIZED SELECTION COMBINING MODEL [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2836

FINITE-ALPHABET NOMA FOR TWO-USER UPLINK CHANNEL


We consider the non-orthogonal multiple access (NOMA) design for a classical two-user multiple access channel (MAC) with finite-alphabet inputs. In contrast to the majority of existing NOMA schemes using continuous Gaussian distributed inputs, we consider practical quadrature amplitude modulation (QAM) constel- lations at both transmitters, whose sizes are not necessarily the same.

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Authors:
Zheng Dong, He (Henry) Chen, Jian-Kang Zhang, Lei Huang, and Branka Vucetic
Submitted On:
12 April 2018 - 8:55pm
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poster.pdf

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[1] Zheng Dong, He (Henry) Chen, Jian-Kang Zhang, Lei Huang, and Branka Vucetic, "FINITE-ALPHABET NOMA FOR TWO-USER UPLINK CHANNEL", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2530. Accessed: Aug. 21, 2018.
@article{2530-18,
url = {http://sigport.org/2530},
author = {Zheng Dong; He (Henry) Chen; Jian-Kang Zhang; Lei Huang; and Branka Vucetic },
publisher = {IEEE SigPort},
title = {FINITE-ALPHABET NOMA FOR TWO-USER UPLINK CHANNEL},
year = {2018} }
TY - EJOUR
T1 - FINITE-ALPHABET NOMA FOR TWO-USER UPLINK CHANNEL
AU - Zheng Dong; He (Henry) Chen; Jian-Kang Zhang; Lei Huang; and Branka Vucetic
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2530
ER -
Zheng Dong, He (Henry) Chen, Jian-Kang Zhang, Lei Huang, and Branka Vucetic. (2018). FINITE-ALPHABET NOMA FOR TWO-USER UPLINK CHANNEL. IEEE SigPort. http://sigport.org/2530
Zheng Dong, He (Henry) Chen, Jian-Kang Zhang, Lei Huang, and Branka Vucetic, 2018. FINITE-ALPHABET NOMA FOR TWO-USER UPLINK CHANNEL. Available at: http://sigport.org/2530.
Zheng Dong, He (Henry) Chen, Jian-Kang Zhang, Lei Huang, and Branka Vucetic. (2018). "FINITE-ALPHABET NOMA FOR TWO-USER UPLINK CHANNEL." Web.
1. Zheng Dong, He (Henry) Chen, Jian-Kang Zhang, Lei Huang, and Branka Vucetic. FINITE-ALPHABET NOMA FOR TWO-USER UPLINK CHANNEL [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2530

UNDERWATER OPTICAL SENSOR NETWORKS LOCALIZATION WITH LIMITED CONNECTIVITY

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12 April 2018 - 11:29am
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Underwater Optical Sensor Networks Localization

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[1] , "UNDERWATER OPTICAL SENSOR NETWORKS LOCALIZATION WITH LIMITED CONNECTIVITY", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2400. Accessed: Aug. 21, 2018.
@article{2400-18,
url = {http://sigport.org/2400},
author = { },
publisher = {IEEE SigPort},
title = {UNDERWATER OPTICAL SENSOR NETWORKS LOCALIZATION WITH LIMITED CONNECTIVITY},
year = {2018} }
TY - EJOUR
T1 - UNDERWATER OPTICAL SENSOR NETWORKS LOCALIZATION WITH LIMITED CONNECTIVITY
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2400
ER -
. (2018). UNDERWATER OPTICAL SENSOR NETWORKS LOCALIZATION WITH LIMITED CONNECTIVITY. IEEE SigPort. http://sigport.org/2400
, 2018. UNDERWATER OPTICAL SENSOR NETWORKS LOCALIZATION WITH LIMITED CONNECTIVITY. Available at: http://sigport.org/2400.
. (2018). "UNDERWATER OPTICAL SENSOR NETWORKS LOCALIZATION WITH LIMITED CONNECTIVITY." Web.
1. . UNDERWATER OPTICAL SENSOR NETWORKS LOCALIZATION WITH LIMITED CONNECTIVITY [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2400

A Mean-Field Stackelberg Game Approach for Obfuscation Adoption in Empirical Risk Minimization


Data ecosystems are becoming larger and more complex, while privacy concerns are threatening to erode their potential benefits. Recently, users have developed obfuscation techniques that issue fake search engine queries, undermine location tracking algorithms, or evade government surveillance. These techniques raise one conflict between each user and the machine learning algorithms which track the users, and one conflict between the users themselves. We use game theory to capture the first conflict with a Stackelberg game and the second conflict with a mean field game.

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Authors:
Jeffrey Pawlick, Quanyan Zhu
Submitted On:
9 November 2017 - 2:35pm
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GlobalSipPawlickZhu.pdf

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[1] Jeffrey Pawlick, Quanyan Zhu, "A Mean-Field Stackelberg Game Approach for Obfuscation Adoption in Empirical Risk Minimization", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2275. Accessed: Aug. 21, 2018.
@article{2275-17,
url = {http://sigport.org/2275},
author = {Jeffrey Pawlick; Quanyan Zhu },
publisher = {IEEE SigPort},
title = {A Mean-Field Stackelberg Game Approach for Obfuscation Adoption in Empirical Risk Minimization},
year = {2017} }
TY - EJOUR
T1 - A Mean-Field Stackelberg Game Approach for Obfuscation Adoption in Empirical Risk Minimization
AU - Jeffrey Pawlick; Quanyan Zhu
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2275
ER -
Jeffrey Pawlick, Quanyan Zhu. (2017). A Mean-Field Stackelberg Game Approach for Obfuscation Adoption in Empirical Risk Minimization. IEEE SigPort. http://sigport.org/2275
Jeffrey Pawlick, Quanyan Zhu, 2017. A Mean-Field Stackelberg Game Approach for Obfuscation Adoption in Empirical Risk Minimization. Available at: http://sigport.org/2275.
Jeffrey Pawlick, Quanyan Zhu. (2017). "A Mean-Field Stackelberg Game Approach for Obfuscation Adoption in Empirical Risk Minimization." Web.
1. Jeffrey Pawlick, Quanyan Zhu. A Mean-Field Stackelberg Game Approach for Obfuscation Adoption in Empirical Risk Minimization [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2275

Mixed Sparsity Regularized Multi-view Unsupervised Feature Selection

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Authors:
Kennedy W. Wangila, Pengfei Zhu, Qinghua Hu, Changqing Zhang
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16 September 2017 - 8:32am
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Mixed Sparsity Regularized Multi-view Unsupervised Feature Selection.pdf

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[1] Kennedy W. Wangila, Pengfei Zhu, Qinghua Hu, Changqing Zhang, "Mixed Sparsity Regularized Multi-view Unsupervised Feature Selection", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2191. Accessed: Aug. 21, 2018.
@article{2191-17,
url = {http://sigport.org/2191},
author = {Kennedy W. Wangila; Pengfei Zhu; Qinghua Hu; Changqing Zhang },
publisher = {IEEE SigPort},
title = {Mixed Sparsity Regularized Multi-view Unsupervised Feature Selection},
year = {2017} }
TY - EJOUR
T1 - Mixed Sparsity Regularized Multi-view Unsupervised Feature Selection
AU - Kennedy W. Wangila; Pengfei Zhu; Qinghua Hu; Changqing Zhang
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2191
ER -
Kennedy W. Wangila, Pengfei Zhu, Qinghua Hu, Changqing Zhang. (2017). Mixed Sparsity Regularized Multi-view Unsupervised Feature Selection. IEEE SigPort. http://sigport.org/2191
Kennedy W. Wangila, Pengfei Zhu, Qinghua Hu, Changqing Zhang, 2017. Mixed Sparsity Regularized Multi-view Unsupervised Feature Selection. Available at: http://sigport.org/2191.
Kennedy W. Wangila, Pengfei Zhu, Qinghua Hu, Changqing Zhang. (2017). "Mixed Sparsity Regularized Multi-view Unsupervised Feature Selection." Web.
1. Kennedy W. Wangila, Pengfei Zhu, Qinghua Hu, Changqing Zhang. Mixed Sparsity Regularized Multi-view Unsupervised Feature Selection [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2191

Mixed Sparsity Regularized Multi-view Unsupervised Feature Selection

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Authors:
Kennedy W. Wangila, Pengfei Zhu, Qinghua Hu, Changqing Zhang
Submitted On:
16 September 2017 - 8:32am
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Mixed Sparsity Regularized Multi-view Unsupervised Feature Selection.pdf

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[1] Kennedy W. Wangila, Pengfei Zhu, Qinghua Hu, Changqing Zhang, "Mixed Sparsity Regularized Multi-view Unsupervised Feature Selection", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2190. Accessed: Aug. 21, 2018.
@article{2190-17,
url = {http://sigport.org/2190},
author = {Kennedy W. Wangila; Pengfei Zhu; Qinghua Hu; Changqing Zhang },
publisher = {IEEE SigPort},
title = {Mixed Sparsity Regularized Multi-view Unsupervised Feature Selection},
year = {2017} }
TY - EJOUR
T1 - Mixed Sparsity Regularized Multi-view Unsupervised Feature Selection
AU - Kennedy W. Wangila; Pengfei Zhu; Qinghua Hu; Changqing Zhang
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2190
ER -
Kennedy W. Wangila, Pengfei Zhu, Qinghua Hu, Changqing Zhang. (2017). Mixed Sparsity Regularized Multi-view Unsupervised Feature Selection. IEEE SigPort. http://sigport.org/2190
Kennedy W. Wangila, Pengfei Zhu, Qinghua Hu, Changqing Zhang, 2017. Mixed Sparsity Regularized Multi-view Unsupervised Feature Selection. Available at: http://sigport.org/2190.
Kennedy W. Wangila, Pengfei Zhu, Qinghua Hu, Changqing Zhang. (2017). "Mixed Sparsity Regularized Multi-view Unsupervised Feature Selection." Web.
1. Kennedy W. Wangila, Pengfei Zhu, Qinghua Hu, Changqing Zhang. Mixed Sparsity Regularized Multi-view Unsupervised Feature Selection [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2190

Double Relay Communication Protocol with Power Control for Achieving Fairness in Cellular Systems


The growing demand for wireless connectivity has turned bandwidth into a scarce resource that has to be carefully managed and fairly distributed to users. However, the variability of the wireless channel can severely degrade the service received by each user. The Double Relay Communication Protocol (DRCP) is a transmission scheme that addresses these problems by exploiting spatial diversity to enhance the fairness of the system without requiring any additional infrastructure (i.e relay nodes or a backhaul connection).

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Authors:
Fernando Rosas, Paschalis Tsiaflakis, Sofie Pollin, Aldo Orozco, Luc Vandendorpe, Marc Moonen
Submitted On:
28 February 2017 - 4:09am
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PowerContol_ICASSP_poster.pdf

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[1] Fernando Rosas, Paschalis Tsiaflakis, Sofie Pollin, Aldo Orozco, Luc Vandendorpe, Marc Moonen, "Double Relay Communication Protocol with Power Control for Achieving Fairness in Cellular Systems", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1489. Accessed: Aug. 21, 2018.
@article{1489-17,
url = {http://sigport.org/1489},
author = {Fernando Rosas; Paschalis Tsiaflakis; Sofie Pollin; Aldo Orozco; Luc Vandendorpe; Marc Moonen },
publisher = {IEEE SigPort},
title = {Double Relay Communication Protocol with Power Control for Achieving Fairness in Cellular Systems},
year = {2017} }
TY - EJOUR
T1 - Double Relay Communication Protocol with Power Control for Achieving Fairness in Cellular Systems
AU - Fernando Rosas; Paschalis Tsiaflakis; Sofie Pollin; Aldo Orozco; Luc Vandendorpe; Marc Moonen
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1489
ER -
Fernando Rosas, Paschalis Tsiaflakis, Sofie Pollin, Aldo Orozco, Luc Vandendorpe, Marc Moonen. (2017). Double Relay Communication Protocol with Power Control for Achieving Fairness in Cellular Systems. IEEE SigPort. http://sigport.org/1489
Fernando Rosas, Paschalis Tsiaflakis, Sofie Pollin, Aldo Orozco, Luc Vandendorpe, Marc Moonen, 2017. Double Relay Communication Protocol with Power Control for Achieving Fairness in Cellular Systems. Available at: http://sigport.org/1489.
Fernando Rosas, Paschalis Tsiaflakis, Sofie Pollin, Aldo Orozco, Luc Vandendorpe, Marc Moonen. (2017). "Double Relay Communication Protocol with Power Control for Achieving Fairness in Cellular Systems." Web.
1. Fernando Rosas, Paschalis Tsiaflakis, Sofie Pollin, Aldo Orozco, Luc Vandendorpe, Marc Moonen. Double Relay Communication Protocol with Power Control for Achieving Fairness in Cellular Systems [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1489

A Low-Rank Approach for Interference Management in Dense Wireless Networks

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9 December 2016 - 10:21pm
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kaiyang-poster.pdf

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[1] , "A Low-Rank Approach for Interference Management in Dense Wireless Networks", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1434. Accessed: Aug. 21, 2018.
@article{1434-16,
url = {http://sigport.org/1434},
author = { },
publisher = {IEEE SigPort},
title = {A Low-Rank Approach for Interference Management in Dense Wireless Networks},
year = {2016} }
TY - EJOUR
T1 - A Low-Rank Approach for Interference Management in Dense Wireless Networks
AU -
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1434
ER -
. (2016). A Low-Rank Approach for Interference Management in Dense Wireless Networks. IEEE SigPort. http://sigport.org/1434
, 2016. A Low-Rank Approach for Interference Management in Dense Wireless Networks. Available at: http://sigport.org/1434.
. (2016). "A Low-Rank Approach for Interference Management in Dense Wireless Networks." Web.
1. . A Low-Rank Approach for Interference Management in Dense Wireless Networks [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1434

A probabilistic interference distribution model encompassing cellular LOS and NLOS mmWave propagation


We propose a novel probabilistic model for the interference power distributions in a cellular network employing MIMO beamforming in mmWave spectrum. Considering both line-of-sight (LOS) and non-line-of-sight (NLOS) propagations, we use the Gamma distribution for LOS interference power, and propose a mixture of the Inverse Gaussian and Inverse Weibull distributions for the NLOS interference power. For the NLOS mixture model, an expectation maximization algorithm is developed using both analytical moment matching and maximum likelihood estimation.

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Authors:
Hussain Elkotby; Mai Vu
Submitted On:
8 December 2016 - 3:01pm
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GlobalSIP_2016_Poster_v5.pdf

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[1] Hussain Elkotby; Mai Vu, "A probabilistic interference distribution model encompassing cellular LOS and NLOS mmWave propagation", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1425. Accessed: Aug. 21, 2018.
@article{1425-16,
url = {http://sigport.org/1425},
author = {Hussain Elkotby; Mai Vu },
publisher = {IEEE SigPort},
title = {A probabilistic interference distribution model encompassing cellular LOS and NLOS mmWave propagation},
year = {2016} }
TY - EJOUR
T1 - A probabilistic interference distribution model encompassing cellular LOS and NLOS mmWave propagation
AU - Hussain Elkotby; Mai Vu
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1425
ER -
Hussain Elkotby; Mai Vu. (2016). A probabilistic interference distribution model encompassing cellular LOS and NLOS mmWave propagation. IEEE SigPort. http://sigport.org/1425
Hussain Elkotby; Mai Vu, 2016. A probabilistic interference distribution model encompassing cellular LOS and NLOS mmWave propagation. Available at: http://sigport.org/1425.
Hussain Elkotby; Mai Vu. (2016). "A probabilistic interference distribution model encompassing cellular LOS and NLOS mmWave propagation." Web.
1. Hussain Elkotby; Mai Vu. A probabilistic interference distribution model encompassing cellular LOS and NLOS mmWave propagation [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1425

A ROBUST APPLICATION DETECTOR FOR INTELLIGENT WIRELESS COLLABORATION


We present an approach for detecting application level protocols over a wireless communications link, without the need for demodulation or decryption. Our detector is suitable for diverse radio types, since only simple external signal features are used as inputs. We show that the Profile Hidden Markov Model (PHMM) is well suited to this task, due to the probabilistic nature of the wireless channel and the discrete nature of application level traffic. We include results evaluating the detection performance for two application protocols in 802.11 in the presence of background traffic.

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Authors:
Kevin Pietsch, Sean Mason
Submitted On:
8 December 2016 - 1:03pm
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[1] Kevin Pietsch, Sean Mason, "A ROBUST APPLICATION DETECTOR FOR INTELLIGENT WIRELESS COLLABORATION", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1422. Accessed: Aug. 21, 2018.
@article{1422-16,
url = {http://sigport.org/1422},
author = {Kevin Pietsch; Sean Mason },
publisher = {IEEE SigPort},
title = {A ROBUST APPLICATION DETECTOR FOR INTELLIGENT WIRELESS COLLABORATION},
year = {2016} }
TY - EJOUR
T1 - A ROBUST APPLICATION DETECTOR FOR INTELLIGENT WIRELESS COLLABORATION
AU - Kevin Pietsch; Sean Mason
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1422
ER -
Kevin Pietsch, Sean Mason. (2016). A ROBUST APPLICATION DETECTOR FOR INTELLIGENT WIRELESS COLLABORATION. IEEE SigPort. http://sigport.org/1422
Kevin Pietsch, Sean Mason, 2016. A ROBUST APPLICATION DETECTOR FOR INTELLIGENT WIRELESS COLLABORATION. Available at: http://sigport.org/1422.
Kevin Pietsch, Sean Mason. (2016). "A ROBUST APPLICATION DETECTOR FOR INTELLIGENT WIRELESS COLLABORATION." Web.
1. Kevin Pietsch, Sean Mason. A ROBUST APPLICATION DETECTOR FOR INTELLIGENT WIRELESS COLLABORATION [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1422

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