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Communications and Networking

Impact of Channel Models on the End-to-End Performance of mmWave Cellular Networks


Communication at mmWave frequencies is one of the major innovations of the fifth generation of cellular networks, because of the potential multi-gigabit data rate given by the large amounts of available bandwidth. The mmWave channel, however, makes reliable communications particularly challenging, given the harsh propagation environment and the sensitivity to blockage. Therefore, proper modeling of the mmWave channel is fundamental for accurate results in system simulations of mmWave cellular networks.

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Authors:
Michele Polese, Michele Zorzi
Submitted On:
5 September 2018 - 2:14pm
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Poster

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[1] Michele Polese, Michele Zorzi, "Impact of Channel Models on the End-to-End Performance of mmWave Cellular Networks", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3290. Accessed: Jun. 07, 2020.
@article{3290-18,
url = {http://sigport.org/3290},
author = {Michele Polese; Michele Zorzi },
publisher = {IEEE SigPort},
title = {Impact of Channel Models on the End-to-End Performance of mmWave Cellular Networks},
year = {2018} }
TY - EJOUR
T1 - Impact of Channel Models on the End-to-End Performance of mmWave Cellular Networks
AU - Michele Polese; Michele Zorzi
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3290
ER -
Michele Polese, Michele Zorzi. (2018). Impact of Channel Models on the End-to-End Performance of mmWave Cellular Networks. IEEE SigPort. http://sigport.org/3290
Michele Polese, Michele Zorzi, 2018. Impact of Channel Models on the End-to-End Performance of mmWave Cellular Networks. Available at: http://sigport.org/3290.
Michele Polese, Michele Zorzi. (2018). "Impact of Channel Models on the End-to-End Performance of mmWave Cellular Networks." Web.
1. Michele Polese, Michele Zorzi. Impact of Channel Models on the End-to-End Performance of mmWave Cellular Networks [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3290

Adaptive Mode Switching Algorithm for Dual Mode SWIPT with Duty Cycle Operation


In this paper, we design a self-powering dual mode simultaneous wireless information and power transfer (SWIPT) system in which a sensor node adaptively controls single tone or multi-tone communication mode. To this end, we introduce duty cycle operation for the dual mode SWIPT with self-powering, which considers nonlinear energy harvesting (EH) model for both single tone and multi-tone waveforms. We formulate an adaptive mode switching (MS) problem which maximizes the achievable rate under the energy causality condition.

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Authors:
Jong Jin Park, Jong Ho Moon, Kang-Yoon Lee, Dong In Kim
Submitted On:
20 June 2018 - 7:02pm
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Dual Mode SWIPT

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Dual Mode SWIPT Testbed & IC

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[1] Jong Jin Park, Jong Ho Moon, Kang-Yoon Lee, Dong In Kim, "Adaptive Mode Switching Algorithm for Dual Mode SWIPT with Duty Cycle Operation", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3274. Accessed: Jun. 07, 2020.
@article{3274-18,
url = {http://sigport.org/3274},
author = {Jong Jin Park; Jong Ho Moon; Kang-Yoon Lee; Dong In Kim },
publisher = {IEEE SigPort},
title = {Adaptive Mode Switching Algorithm for Dual Mode SWIPT with Duty Cycle Operation},
year = {2018} }
TY - EJOUR
T1 - Adaptive Mode Switching Algorithm for Dual Mode SWIPT with Duty Cycle Operation
AU - Jong Jin Park; Jong Ho Moon; Kang-Yoon Lee; Dong In Kim
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3274
ER -
Jong Jin Park, Jong Ho Moon, Kang-Yoon Lee, Dong In Kim. (2018). Adaptive Mode Switching Algorithm for Dual Mode SWIPT with Duty Cycle Operation. IEEE SigPort. http://sigport.org/3274
Jong Jin Park, Jong Ho Moon, Kang-Yoon Lee, Dong In Kim, 2018. Adaptive Mode Switching Algorithm for Dual Mode SWIPT with Duty Cycle Operation. Available at: http://sigport.org/3274.
Jong Jin Park, Jong Ho Moon, Kang-Yoon Lee, Dong In Kim. (2018). "Adaptive Mode Switching Algorithm for Dual Mode SWIPT with Duty Cycle Operation." Web.
1. Jong Jin Park, Jong Ho Moon, Kang-Yoon Lee, Dong In Kim. Adaptive Mode Switching Algorithm for Dual Mode SWIPT with Duty Cycle Operation [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3274

Statistical Analysis of EH Battery State under Noisy Energy Arrivals

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Authors:
Hiroki Iimori, Giuseppe Thadeu Freitas de Abreu
Submitted On:
20 June 2018 - 2:38pm
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Statistical Analysis of EH Battery State under Noisy Energy Arrivals

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[1] Hiroki Iimori, Giuseppe Thadeu Freitas de Abreu, "Statistical Analysis of EH Battery State under Noisy Energy Arrivals", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3272. Accessed: Jun. 07, 2020.
@article{3272-18,
url = {http://sigport.org/3272},
author = {Hiroki Iimori; Giuseppe Thadeu Freitas de Abreu },
publisher = {IEEE SigPort},
title = {Statistical Analysis of EH Battery State under Noisy Energy Arrivals},
year = {2018} }
TY - EJOUR
T1 - Statistical Analysis of EH Battery State under Noisy Energy Arrivals
AU - Hiroki Iimori; Giuseppe Thadeu Freitas de Abreu
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3272
ER -
Hiroki Iimori, Giuseppe Thadeu Freitas de Abreu. (2018). Statistical Analysis of EH Battery State under Noisy Energy Arrivals. IEEE SigPort. http://sigport.org/3272
Hiroki Iimori, Giuseppe Thadeu Freitas de Abreu, 2018. Statistical Analysis of EH Battery State under Noisy Energy Arrivals. Available at: http://sigport.org/3272.
Hiroki Iimori, Giuseppe Thadeu Freitas de Abreu. (2018). "Statistical Analysis of EH Battery State under Noisy Energy Arrivals." Web.
1. Hiroki Iimori, Giuseppe Thadeu Freitas de Abreu. Statistical Analysis of EH Battery State under Noisy Energy Arrivals [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3272

On the Age of Information in Multi-Source Multi-Hop Wireless Status Update Networks


This paper studies a multi-source “age of information”
problem in multi-hop wireless networks with packetized
status updates and explicit channel contention. Specifically, the
scenario considered in this paper assumes that each node in the
network is a both a source and a monitor of information. Nodes
take turns broadcasting their information to other nodes in the
network while also maintaining tables of status updates for the
information received from all other nodes in the network. Lower

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Authors:
Shahab Farazi, Andrew G. Klein, John A. McNeill, D. Richard Brown III
Submitted On:
20 June 2018 - 12:43pm
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On the Age of Information in Multi-Source Multi-Hop Wireless Status Update Networks.pdf

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[1] Shahab Farazi, Andrew G. Klein, John A. McNeill, D. Richard Brown III, "On the Age of Information in Multi-Source Multi-Hop Wireless Status Update Networks", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3270. Accessed: Jun. 07, 2020.
@article{3270-18,
url = {http://sigport.org/3270},
author = {Shahab Farazi; Andrew G. Klein; John A. McNeill; D. Richard Brown III },
publisher = {IEEE SigPort},
title = {On the Age of Information in Multi-Source Multi-Hop Wireless Status Update Networks},
year = {2018} }
TY - EJOUR
T1 - On the Age of Information in Multi-Source Multi-Hop Wireless Status Update Networks
AU - Shahab Farazi; Andrew G. Klein; John A. McNeill; D. Richard Brown III
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3270
ER -
Shahab Farazi, Andrew G. Klein, John A. McNeill, D. Richard Brown III. (2018). On the Age of Information in Multi-Source Multi-Hop Wireless Status Update Networks. IEEE SigPort. http://sigport.org/3270
Shahab Farazi, Andrew G. Klein, John A. McNeill, D. Richard Brown III, 2018. On the Age of Information in Multi-Source Multi-Hop Wireless Status Update Networks. Available at: http://sigport.org/3270.
Shahab Farazi, Andrew G. Klein, John A. McNeill, D. Richard Brown III. (2018). "On the Age of Information in Multi-Source Multi-Hop Wireless Status Update Networks." Web.
1. Shahab Farazi, Andrew G. Klein, John A. McNeill, D. Richard Brown III. On the Age of Information in Multi-Source Multi-Hop Wireless Status Update Networks [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3270

Distributed Scheduling Algorithms for Optimizing Information Freshness in Wireless Networks


Age of Information (AoI), measures the time elapsed since the last received information packet was generated at the source. We consider the problem of AoI minimization for single-hop flows in a wireless network, under pairwise interference constraints and time varying channel. We consider simple, yet broad, class of distributed scheduling policies, in which a transmission is attempted over each link with a certain attempt probability. We obtain an interesting relation between the optimal attempt probability and the optimal AoI of the link, and its neighboring links.

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Authors:
Sertac Karaman, Eytan Modiano
Submitted On:
20 June 2018 - 12:33pm
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SPAWC_Poster_Final.pdf

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[1] Sertac Karaman, Eytan Modiano, "Distributed Scheduling Algorithms for Optimizing Information Freshness in Wireless Networks", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3267. Accessed: Jun. 07, 2020.
@article{3267-18,
url = {http://sigport.org/3267},
author = {Sertac Karaman; Eytan Modiano },
publisher = {IEEE SigPort},
title = {Distributed Scheduling Algorithms for Optimizing Information Freshness in Wireless Networks},
year = {2018} }
TY - EJOUR
T1 - Distributed Scheduling Algorithms for Optimizing Information Freshness in Wireless Networks
AU - Sertac Karaman; Eytan Modiano
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3267
ER -
Sertac Karaman, Eytan Modiano. (2018). Distributed Scheduling Algorithms for Optimizing Information Freshness in Wireless Networks. IEEE SigPort. http://sigport.org/3267
Sertac Karaman, Eytan Modiano, 2018. Distributed Scheduling Algorithms for Optimizing Information Freshness in Wireless Networks. Available at: http://sigport.org/3267.
Sertac Karaman, Eytan Modiano. (2018). "Distributed Scheduling Algorithms for Optimizing Information Freshness in Wireless Networks." Web.
1. Sertac Karaman, Eytan Modiano. Distributed Scheduling Algorithms for Optimizing Information Freshness in Wireless Networks [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3267

Self-Adaptive Energy Efficient Operation in UAV-assisted Public Safety Networks


Public Safety Networks (PSN) are expected to provide resilient communication paradigms under disaster recovery scenarios. Towards providing an energy efficient solution an UAV-supported multi-level architecture is employed where user equipments (UEs) are grouped together in clusters.

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Authors:
Dimitrios Sikeridis, Eirini Eleni Tsiropoulou, Michael Devetsikiotis, Symeon Papavassiliou
Submitted On:
20 June 2018 - 11:38am
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Self-Adaptive Energy Efficient Operation in UAV-assisted Public Safety Networks

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[1] Dimitrios Sikeridis, Eirini Eleni Tsiropoulou, Michael Devetsikiotis, Symeon Papavassiliou, "Self-Adaptive Energy Efficient Operation in UAV-assisted Public Safety Networks", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3266. Accessed: Jun. 07, 2020.
@article{3266-18,
url = {http://sigport.org/3266},
author = {Dimitrios Sikeridis; Eirini Eleni Tsiropoulou; Michael Devetsikiotis; Symeon Papavassiliou },
publisher = {IEEE SigPort},
title = {Self-Adaptive Energy Efficient Operation in UAV-assisted Public Safety Networks},
year = {2018} }
TY - EJOUR
T1 - Self-Adaptive Energy Efficient Operation in UAV-assisted Public Safety Networks
AU - Dimitrios Sikeridis; Eirini Eleni Tsiropoulou; Michael Devetsikiotis; Symeon Papavassiliou
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3266
ER -
Dimitrios Sikeridis, Eirini Eleni Tsiropoulou, Michael Devetsikiotis, Symeon Papavassiliou. (2018). Self-Adaptive Energy Efficient Operation in UAV-assisted Public Safety Networks. IEEE SigPort. http://sigport.org/3266
Dimitrios Sikeridis, Eirini Eleni Tsiropoulou, Michael Devetsikiotis, Symeon Papavassiliou, 2018. Self-Adaptive Energy Efficient Operation in UAV-assisted Public Safety Networks. Available at: http://sigport.org/3266.
Dimitrios Sikeridis, Eirini Eleni Tsiropoulou, Michael Devetsikiotis, Symeon Papavassiliou. (2018). "Self-Adaptive Energy Efficient Operation in UAV-assisted Public Safety Networks." Web.
1. Dimitrios Sikeridis, Eirini Eleni Tsiropoulou, Michael Devetsikiotis, Symeon Papavassiliou. Self-Adaptive Energy Efficient Operation in UAV-assisted Public Safety Networks [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3266

Coordinated Hybrid Precoding for Energy-efficient Millimeter Wave Systems

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Authors:
Chao Fang, Behrooz Makki, Jingya Li, Tommy Svensson
Submitted On:
20 June 2018 - 10:22am
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SPAWC_poster.pdf

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[1] Chao Fang, Behrooz Makki, Jingya Li, Tommy Svensson, "Coordinated Hybrid Precoding for Energy-efficient Millimeter Wave Systems", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3260. Accessed: Jun. 07, 2020.
@article{3260-18,
url = {http://sigport.org/3260},
author = {Chao Fang; Behrooz Makki; Jingya Li; Tommy Svensson },
publisher = {IEEE SigPort},
title = {Coordinated Hybrid Precoding for Energy-efficient Millimeter Wave Systems},
year = {2018} }
TY - EJOUR
T1 - Coordinated Hybrid Precoding for Energy-efficient Millimeter Wave Systems
AU - Chao Fang; Behrooz Makki; Jingya Li; Tommy Svensson
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3260
ER -
Chao Fang, Behrooz Makki, Jingya Li, Tommy Svensson. (2018). Coordinated Hybrid Precoding for Energy-efficient Millimeter Wave Systems. IEEE SigPort. http://sigport.org/3260
Chao Fang, Behrooz Makki, Jingya Li, Tommy Svensson, 2018. Coordinated Hybrid Precoding for Energy-efficient Millimeter Wave Systems. Available at: http://sigport.org/3260.
Chao Fang, Behrooz Makki, Jingya Li, Tommy Svensson. (2018). "Coordinated Hybrid Precoding for Energy-efficient Millimeter Wave Systems." Web.
1. Chao Fang, Behrooz Makki, Jingya Li, Tommy Svensson. Coordinated Hybrid Precoding for Energy-efficient Millimeter Wave Systems [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3260

Channel Hardening in Massive MIMO - a Measurement Based Analysis


Wireless-controlled robots, cars and other critical applications are in need of technologies that offer high reliability and low latency. Massive MIMO, Multiple-Input Multiple-Output, is a key technology for the upcoming 5G systems and is one part of the solution to increase the reliability of wireless systems. More specifically, when increasing the number of base station antennas in a massive MIMO systems the channel variations decrease and the so-called channel hardening effect appears. This means that the variations of the channel gain in

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Authors:
Jose Flordelis, Liesbet Van der Perre, Fredrik Tufvesson
Submitted On:
20 June 2018 - 9:56am
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Poster

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[1] Jose Flordelis, Liesbet Van der Perre, Fredrik Tufvesson, "Channel Hardening in Massive MIMO - a Measurement Based Analysis", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3256. Accessed: Jun. 07, 2020.
@article{3256-18,
url = {http://sigport.org/3256},
author = {Jose Flordelis; Liesbet Van der Perre; Fredrik Tufvesson },
publisher = {IEEE SigPort},
title = {Channel Hardening in Massive MIMO - a Measurement Based Analysis},
year = {2018} }
TY - EJOUR
T1 - Channel Hardening in Massive MIMO - a Measurement Based Analysis
AU - Jose Flordelis; Liesbet Van der Perre; Fredrik Tufvesson
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3256
ER -
Jose Flordelis, Liesbet Van der Perre, Fredrik Tufvesson. (2018). Channel Hardening in Massive MIMO - a Measurement Based Analysis. IEEE SigPort. http://sigport.org/3256
Jose Flordelis, Liesbet Van der Perre, Fredrik Tufvesson, 2018. Channel Hardening in Massive MIMO - a Measurement Based Analysis. Available at: http://sigport.org/3256.
Jose Flordelis, Liesbet Van der Perre, Fredrik Tufvesson. (2018). "Channel Hardening in Massive MIMO - a Measurement Based Analysis." Web.
1. Jose Flordelis, Liesbet Van der Perre, Fredrik Tufvesson. Channel Hardening in Massive MIMO - a Measurement Based Analysis [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3256

LQG Control and Scheduling Co-design for Wireless Sensor and Actuator Networks


We study a co-design problem of control, scheduling, and routing over a multi-hop sensor and actuator network (WSANs) subject to energy-saving consideration. We formulate an optimization problem, minimizing a linear combination of the averaged linear quadratic Gaussian (LQG) control performance and the averaged transmission energy consumption. Optimal solutions are derived and their performance is illustrated in a numerical example.

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Authors:
Karl Henrik Johansson
Submitted On:
20 June 2018 - 9:29am
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SPAWC18_Takuya_Iwaki.pdf

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[1] Karl Henrik Johansson, "LQG Control and Scheduling Co-design for Wireless Sensor and Actuator Networks", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3250. Accessed: Jun. 07, 2020.
@article{3250-18,
url = {http://sigport.org/3250},
author = {Karl Henrik Johansson },
publisher = {IEEE SigPort},
title = {LQG Control and Scheduling Co-design for Wireless Sensor and Actuator Networks},
year = {2018} }
TY - EJOUR
T1 - LQG Control and Scheduling Co-design for Wireless Sensor and Actuator Networks
AU - Karl Henrik Johansson
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3250
ER -
Karl Henrik Johansson. (2018). LQG Control and Scheduling Co-design for Wireless Sensor and Actuator Networks. IEEE SigPort. http://sigport.org/3250
Karl Henrik Johansson, 2018. LQG Control and Scheduling Co-design for Wireless Sensor and Actuator Networks. Available at: http://sigport.org/3250.
Karl Henrik Johansson. (2018). "LQG Control and Scheduling Co-design for Wireless Sensor and Actuator Networks." Web.
1. Karl Henrik Johansson. LQG Control and Scheduling Co-design for Wireless Sensor and Actuator Networks [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3250

Mobile Edge Computing for Cellular-Connected UAV: Computation Offloading and Trajectory Optimization

Paper Details

Authors:
Jie Xu;Rui Zhang
Submitted On:
20 June 2018 - 9:08am
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poster_spawc2018v1.pdf

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[1] Jie Xu;Rui Zhang, "Mobile Edge Computing for Cellular-Connected UAV: Computation Offloading and Trajectory Optimization", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3246. Accessed: Jun. 07, 2020.
@article{3246-18,
url = {http://sigport.org/3246},
author = {Jie Xu;Rui Zhang },
publisher = {IEEE SigPort},
title = {Mobile Edge Computing for Cellular-Connected UAV: Computation Offloading and Trajectory Optimization},
year = {2018} }
TY - EJOUR
T1 - Mobile Edge Computing for Cellular-Connected UAV: Computation Offloading and Trajectory Optimization
AU - Jie Xu;Rui Zhang
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3246
ER -
Jie Xu;Rui Zhang. (2018). Mobile Edge Computing for Cellular-Connected UAV: Computation Offloading and Trajectory Optimization. IEEE SigPort. http://sigport.org/3246
Jie Xu;Rui Zhang, 2018. Mobile Edge Computing for Cellular-Connected UAV: Computation Offloading and Trajectory Optimization. Available at: http://sigport.org/3246.
Jie Xu;Rui Zhang. (2018). "Mobile Edge Computing for Cellular-Connected UAV: Computation Offloading and Trajectory Optimization." Web.
1. Jie Xu;Rui Zhang. Mobile Edge Computing for Cellular-Connected UAV: Computation Offloading and Trajectory Optimization [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3246

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