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Signal Processing for Communications and Networking

OPTIMUM DECISION FUSION IN COGNITIVE WIRELESS SENSOR NETWORKS WITH UNKNOWN USERS LOCATION


We consider a cooperative cognitive wireless network sce- nario where a primary wireless network is co-located with a cognitive (or secondary) network. In the considered scenario, the nodes of the secondary network make local binary de- cisions about the presence of a signal emitted by a primary node. Then, they transmit their decisions to a fusion center (FC). The final decision about the channel state is up to the FC by means of a proper fusion rule.

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Authors:
Andrea Abrardo
Submitted On:
23 February 2016 - 1:44pm
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ICASSP15_Abrardo_Barni.pdf

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[1] Andrea Abrardo, "OPTIMUM DECISION FUSION IN COGNITIVE WIRELESS SENSOR NETWORKS WITH UNKNOWN USERS LOCATION", IEEE SigPort, 2014. [Online]. Available: http://sigport.org/122. Accessed: Dec. 12, 2018.
@article{122-14,
url = {http://sigport.org/122},
author = {Andrea Abrardo },
publisher = {IEEE SigPort},
title = {OPTIMUM DECISION FUSION IN COGNITIVE WIRELESS SENSOR NETWORKS WITH UNKNOWN USERS LOCATION},
year = {2014} }
TY - EJOUR
T1 - OPTIMUM DECISION FUSION IN COGNITIVE WIRELESS SENSOR NETWORKS WITH UNKNOWN USERS LOCATION
AU - Andrea Abrardo
PY - 2014
PB - IEEE SigPort
UR - http://sigport.org/122
ER -
Andrea Abrardo. (2014). OPTIMUM DECISION FUSION IN COGNITIVE WIRELESS SENSOR NETWORKS WITH UNKNOWN USERS LOCATION. IEEE SigPort. http://sigport.org/122
Andrea Abrardo, 2014. OPTIMUM DECISION FUSION IN COGNITIVE WIRELESS SENSOR NETWORKS WITH UNKNOWN USERS LOCATION. Available at: http://sigport.org/122.
Andrea Abrardo. (2014). "OPTIMUM DECISION FUSION IN COGNITIVE WIRELESS SENSOR NETWORKS WITH UNKNOWN USERS LOCATION." Web.
1. Andrea Abrardo. OPTIMUM DECISION FUSION IN COGNITIVE WIRELESS SENSOR NETWORKS WITH UNKNOWN USERS LOCATION [Internet]. IEEE SigPort; 2014. Available from : http://sigport.org/122

Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading


To develop intelligent receivers, automatic modulation classification (AMC) plays an important role for better spectrum utilization. The emerging deep learning (DL) technique has received much attention in AMC due to its superior performance in classifying data with deep structure. In this work, a novel polar-based deep learning architecture with channel compensation network (CCN) is proposed. Our test results show that learning features from polar domain (r-θ) can improve recognition accuracy by 5% and reduce training overhead by 48%.

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Authors:
Ching-Chun Liao, Chun-Hsiang Chen, An-Yeu (Andy) Wu
Submitted On:
27 November 2018 - 6:59am
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2018 GlobalSIP Oral.pdf

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[1] Ching-Chun Liao, Chun-Hsiang Chen, An-Yeu (Andy) Wu, "Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3811. Accessed: Dec. 12, 2018.
@article{3811-18,
url = {http://sigport.org/3811},
author = {Ching-Chun Liao; Chun-Hsiang Chen; An-Yeu (Andy) Wu },
publisher = {IEEE SigPort},
title = {Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading},
year = {2018} }
TY - EJOUR
T1 - Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading
AU - Ching-Chun Liao; Chun-Hsiang Chen; An-Yeu (Andy) Wu
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3811
ER -
Ching-Chun Liao, Chun-Hsiang Chen, An-Yeu (Andy) Wu. (2018). Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading. IEEE SigPort. http://sigport.org/3811
Ching-Chun Liao, Chun-Hsiang Chen, An-Yeu (Andy) Wu, 2018. Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading. Available at: http://sigport.org/3811.
Ching-Chun Liao, Chun-Hsiang Chen, An-Yeu (Andy) Wu. (2018). "Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading." Web.
1. Ching-Chun Liao, Chun-Hsiang Chen, An-Yeu (Andy) Wu. Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3811

Generalized Graph Signal Processing

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Authors:
Feng Ji, Wee Peng Tay
Submitted On:
22 November 2018 - 7:23am
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Globalsip.pdf

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[1] Feng Ji, Wee Peng Tay, "Generalized Graph Signal Processing", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3713. Accessed: Dec. 12, 2018.
@article{3713-18,
url = {http://sigport.org/3713},
author = {Feng Ji; Wee Peng Tay },
publisher = {IEEE SigPort},
title = {Generalized Graph Signal Processing},
year = {2018} }
TY - EJOUR
T1 - Generalized Graph Signal Processing
AU - Feng Ji; Wee Peng Tay
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3713
ER -
Feng Ji, Wee Peng Tay. (2018). Generalized Graph Signal Processing. IEEE SigPort. http://sigport.org/3713
Feng Ji, Wee Peng Tay, 2018. Generalized Graph Signal Processing. Available at: http://sigport.org/3713.
Feng Ji, Wee Peng Tay. (2018). "Generalized Graph Signal Processing." Web.
1. Feng Ji, Wee Peng Tay. Generalized Graph Signal Processing [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3713

Comparison of Limited Feedback Schemes for NOMA Transmission in mmWave Drone Networks

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Authors:
Yavuz Yapici, Ismail Guvenc, Yuichi Kakishima
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22 June 2018 - 2:03pm
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SPAWC_NOMA_UAV_NOMA_FB_Comparison_v2.0.pdf

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[1] Yavuz Yapici, Ismail Guvenc, Yuichi Kakishima, "Comparison of Limited Feedback Schemes for NOMA Transmission in mmWave Drone Networks", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3298. Accessed: Dec. 12, 2018.
@article{3298-18,
url = {http://sigport.org/3298},
author = {Yavuz Yapici; Ismail Guvenc; Yuichi Kakishima },
publisher = {IEEE SigPort},
title = {Comparison of Limited Feedback Schemes for NOMA Transmission in mmWave Drone Networks},
year = {2018} }
TY - EJOUR
T1 - Comparison of Limited Feedback Schemes for NOMA Transmission in mmWave Drone Networks
AU - Yavuz Yapici; Ismail Guvenc; Yuichi Kakishima
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3298
ER -
Yavuz Yapici, Ismail Guvenc, Yuichi Kakishima. (2018). Comparison of Limited Feedback Schemes for NOMA Transmission in mmWave Drone Networks. IEEE SigPort. http://sigport.org/3298
Yavuz Yapici, Ismail Guvenc, Yuichi Kakishima, 2018. Comparison of Limited Feedback Schemes for NOMA Transmission in mmWave Drone Networks. Available at: http://sigport.org/3298.
Yavuz Yapici, Ismail Guvenc, Yuichi Kakishima. (2018). "Comparison of Limited Feedback Schemes for NOMA Transmission in mmWave Drone Networks." Web.
1. Yavuz Yapici, Ismail Guvenc, Yuichi Kakishima. Comparison of Limited Feedback Schemes for NOMA Transmission in mmWave Drone Networks [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3298

Flexible Infrastructure for the Development and Integration of Access / Fronthauling Solutions in Future Wireless Systems


The deployment of the 5G technology(ies) is planned to start by 2020, and these future systems will comprise multiple heterogeneous technologies and services ranging from the personal cellular, wireless local area networks (WLAN) up to the Internet of Things (IoT). The inherent complexity and heterogeneity in technology conjugated with the random nature of both the wireless channel, access and services will make the system evaluation of 5G a very difficult task calling for flexible testbeds where the randomness of the radio environment and mobility can be realistically emulated.

Paper Details

Authors:
F. P. Guiomar, I. A. Alimi, A. Mufutau, C. B. Lopes, A. Oliveira, P. P. Monteiro and A. Gameiro
Submitted On:
21 June 2018 - 1:09pm
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spawc-2018-poster.pdf

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[1] F. P. Guiomar, I. A. Alimi, A. Mufutau, C. B. Lopes, A. Oliveira, P. P. Monteiro and A. Gameiro, "Flexible Infrastructure for the Development and Integration of Access / Fronthauling Solutions in Future Wireless Systems", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3288. Accessed: Dec. 12, 2018.
@article{3288-18,
url = {http://sigport.org/3288},
author = {F. P. Guiomar; I. A. Alimi; A. Mufutau; C. B. Lopes; A. Oliveira; P. P. Monteiro and A. Gameiro },
publisher = {IEEE SigPort},
title = {Flexible Infrastructure for the Development and Integration of Access / Fronthauling Solutions in Future Wireless Systems},
year = {2018} }
TY - EJOUR
T1 - Flexible Infrastructure for the Development and Integration of Access / Fronthauling Solutions in Future Wireless Systems
AU - F. P. Guiomar; I. A. Alimi; A. Mufutau; C. B. Lopes; A. Oliveira; P. P. Monteiro and A. Gameiro
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3288
ER -
F. P. Guiomar, I. A. Alimi, A. Mufutau, C. B. Lopes, A. Oliveira, P. P. Monteiro and A. Gameiro. (2018). Flexible Infrastructure for the Development and Integration of Access / Fronthauling Solutions in Future Wireless Systems. IEEE SigPort. http://sigport.org/3288
F. P. Guiomar, I. A. Alimi, A. Mufutau, C. B. Lopes, A. Oliveira, P. P. Monteiro and A. Gameiro, 2018. Flexible Infrastructure for the Development and Integration of Access / Fronthauling Solutions in Future Wireless Systems. Available at: http://sigport.org/3288.
F. P. Guiomar, I. A. Alimi, A. Mufutau, C. B. Lopes, A. Oliveira, P. P. Monteiro and A. Gameiro. (2018). "Flexible Infrastructure for the Development and Integration of Access / Fronthauling Solutions in Future Wireless Systems." Web.
1. F. P. Guiomar, I. A. Alimi, A. Mufutau, C. B. Lopes, A. Oliveira, P. P. Monteiro and A. Gameiro. Flexible Infrastructure for the Development and Integration of Access / Fronthauling Solutions in Future Wireless Systems [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3288

Mr. Sayed Hossein Dokhanchi

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Authors:
Sayed Hossein Dokhanchi, Bhavani Shankar, Thomas Sifter, Bjorn Ottersten
Submitted On:
20 June 2018 - 12:35pm
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SPAWC-poster.pdf

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[1] Sayed Hossein Dokhanchi, Bhavani Shankar, Thomas Sifter, Bjorn Ottersten, "Mr. Sayed Hossein Dokhanchi", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3268. Accessed: Dec. 12, 2018.
@article{3268-18,
url = {http://sigport.org/3268},
author = {Sayed Hossein Dokhanchi; Bhavani Shankar; Thomas Sifter; Bjorn Ottersten },
publisher = {IEEE SigPort},
title = {Mr. Sayed Hossein Dokhanchi},
year = {2018} }
TY - EJOUR
T1 - Mr. Sayed Hossein Dokhanchi
AU - Sayed Hossein Dokhanchi; Bhavani Shankar; Thomas Sifter; Bjorn Ottersten
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3268
ER -
Sayed Hossein Dokhanchi, Bhavani Shankar, Thomas Sifter, Bjorn Ottersten. (2018). Mr. Sayed Hossein Dokhanchi. IEEE SigPort. http://sigport.org/3268
Sayed Hossein Dokhanchi, Bhavani Shankar, Thomas Sifter, Bjorn Ottersten, 2018. Mr. Sayed Hossein Dokhanchi. Available at: http://sigport.org/3268.
Sayed Hossein Dokhanchi, Bhavani Shankar, Thomas Sifter, Bjorn Ottersten. (2018). "Mr. Sayed Hossein Dokhanchi." Web.
1. Sayed Hossein Dokhanchi, Bhavani Shankar, Thomas Sifter, Bjorn Ottersten. Mr. Sayed Hossein Dokhanchi [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3268

Software Defined Resource Allocation for Service-Oriented Networks

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Authors:
Nan Zhang,Ya-Feng Liu, Hamid Farmanbar, Tsung-Hui Chang, Mingyi Hong, Zhi-Quan Luo
Submitted On:
22 April 2018 - 11:07pm
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icassp2018_poster_v4.pdf

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[1] Nan Zhang,Ya-Feng Liu, Hamid Farmanbar, Tsung-Hui Chang, Mingyi Hong, Zhi-Quan Luo, "Software Defined Resource Allocation for Service-Oriented Networks", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3141. Accessed: Dec. 12, 2018.
@article{3141-18,
url = {http://sigport.org/3141},
author = {Nan Zhang;Ya-Feng Liu; Hamid Farmanbar; Tsung-Hui Chang; Mingyi Hong; Zhi-Quan Luo },
publisher = {IEEE SigPort},
title = {Software Defined Resource Allocation for Service-Oriented Networks},
year = {2018} }
TY - EJOUR
T1 - Software Defined Resource Allocation for Service-Oriented Networks
AU - Nan Zhang;Ya-Feng Liu; Hamid Farmanbar; Tsung-Hui Chang; Mingyi Hong; Zhi-Quan Luo
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3141
ER -
Nan Zhang,Ya-Feng Liu, Hamid Farmanbar, Tsung-Hui Chang, Mingyi Hong, Zhi-Quan Luo. (2018). Software Defined Resource Allocation for Service-Oriented Networks. IEEE SigPort. http://sigport.org/3141
Nan Zhang,Ya-Feng Liu, Hamid Farmanbar, Tsung-Hui Chang, Mingyi Hong, Zhi-Quan Luo, 2018. Software Defined Resource Allocation for Service-Oriented Networks. Available at: http://sigport.org/3141.
Nan Zhang,Ya-Feng Liu, Hamid Farmanbar, Tsung-Hui Chang, Mingyi Hong, Zhi-Quan Luo. (2018). "Software Defined Resource Allocation for Service-Oriented Networks." Web.
1. Nan Zhang,Ya-Feng Liu, Hamid Farmanbar, Tsung-Hui Chang, Mingyi Hong, Zhi-Quan Luo. Software Defined Resource Allocation for Service-Oriented Networks [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3141

Sparsity and Rank Exploitation for Time-Varying Narrowband Leaked OFDM Channel Estimation


In this paper, the problem of time-varying narrowband leaked Orthogonal Frequency Division multiplexing (OFDM) channel estimation is considered. The leakage effect results from practical constraints on communication systems: finite bandwidth and block length. These practical constraints effectively render a sparse channel into a non-sparse one. The inherent low-rank structure of the received signal, determined by the number of dominant paths of the channel, is exploited.

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Authors:
Amr Elnakeeb, Urbashi Mitra
Submitted On:
15 April 2018 - 2:12pm
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Sparsity and Rank Exploitation for Time-Varying Narrowband Leaked OFDM Channel Estimation --poster.pdf

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[1] Amr Elnakeeb, Urbashi Mitra, "Sparsity and Rank Exploitation for Time-Varying Narrowband Leaked OFDM Channel Estimation", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2899. Accessed: Dec. 12, 2018.
@article{2899-18,
url = {http://sigport.org/2899},
author = {Amr Elnakeeb; Urbashi Mitra },
publisher = {IEEE SigPort},
title = {Sparsity and Rank Exploitation for Time-Varying Narrowband Leaked OFDM Channel Estimation},
year = {2018} }
TY - EJOUR
T1 - Sparsity and Rank Exploitation for Time-Varying Narrowband Leaked OFDM Channel Estimation
AU - Amr Elnakeeb; Urbashi Mitra
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2899
ER -
Amr Elnakeeb, Urbashi Mitra. (2018). Sparsity and Rank Exploitation for Time-Varying Narrowband Leaked OFDM Channel Estimation. IEEE SigPort. http://sigport.org/2899
Amr Elnakeeb, Urbashi Mitra, 2018. Sparsity and Rank Exploitation for Time-Varying Narrowband Leaked OFDM Channel Estimation. Available at: http://sigport.org/2899.
Amr Elnakeeb, Urbashi Mitra. (2018). "Sparsity and Rank Exploitation for Time-Varying Narrowband Leaked OFDM Channel Estimation." Web.
1. Amr Elnakeeb, Urbashi Mitra. Sparsity and Rank Exploitation for Time-Varying Narrowband Leaked OFDM Channel Estimation [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2899

Small Perturbation Analysis of Network Topologies

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Authors:
Sergio Barbarossa
Submitted On:
14 April 2018 - 10:40pm
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ICASSP2018.pdf

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[1] Sergio Barbarossa, "Small Perturbation Analysis of Network Topologies", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2869. Accessed: Dec. 12, 2018.
@article{2869-18,
url = {http://sigport.org/2869},
author = {Sergio Barbarossa },
publisher = {IEEE SigPort},
title = {Small Perturbation Analysis of Network Topologies},
year = {2018} }
TY - EJOUR
T1 - Small Perturbation Analysis of Network Topologies
AU - Sergio Barbarossa
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2869
ER -
Sergio Barbarossa. (2018). Small Perturbation Analysis of Network Topologies. IEEE SigPort. http://sigport.org/2869
Sergio Barbarossa, 2018. Small Perturbation Analysis of Network Topologies. Available at: http://sigport.org/2869.
Sergio Barbarossa. (2018). "Small Perturbation Analysis of Network Topologies." Web.
1. Sergio Barbarossa. Small Perturbation Analysis of Network Topologies [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2869

Optimal Tone Reservation for Peak to Average Power Control of CDMA Systems


In this paper we study the tone reservation technique for the reduction of the peak to average power ratio (PAPR) in code division multiple access (CDMA) systems that employ the Walsh functions. In the tone reservation method, the available carriers are partitioned into two sets, the information set, which carries the information, and the compensation set, which is used to reduce the PAPR. Central questions are: What is the best possible reduction of the PAPR? What is the optimal information set that achieves this reduction, and how can it be found?

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Authors:
Holger Boche, Ullrich J. Mönich
Submitted On:
13 April 2018 - 6:20am
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icassp2018_walsh.pdf

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[1] Holger Boche, Ullrich J. Mönich, "Optimal Tone Reservation for Peak to Average Power Control of CDMA Systems", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2683. Accessed: Dec. 12, 2018.
@article{2683-18,
url = {http://sigport.org/2683},
author = {Holger Boche; Ullrich J. Mönich },
publisher = {IEEE SigPort},
title = {Optimal Tone Reservation for Peak to Average Power Control of CDMA Systems},
year = {2018} }
TY - EJOUR
T1 - Optimal Tone Reservation for Peak to Average Power Control of CDMA Systems
AU - Holger Boche; Ullrich J. Mönich
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2683
ER -
Holger Boche, Ullrich J. Mönich. (2018). Optimal Tone Reservation for Peak to Average Power Control of CDMA Systems. IEEE SigPort. http://sigport.org/2683
Holger Boche, Ullrich J. Mönich, 2018. Optimal Tone Reservation for Peak to Average Power Control of CDMA Systems. Available at: http://sigport.org/2683.
Holger Boche, Ullrich J. Mönich. (2018). "Optimal Tone Reservation for Peak to Average Power Control of CDMA Systems." Web.
1. Holger Boche, Ullrich J. Mönich. Optimal Tone Reservation for Peak to Average Power Control of CDMA Systems [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2683

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