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Communication and Sensing aspects of Sensor Networks, Wireless and Ad-Hoc Networks

Optimal Mobile Relay Beamforming via Reinforcement Learning

K Diamantaras
ATHINA PETROPULU

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Authors:
K Diamantaras
ATHINA PETROPULU
Konstantinos Diamantaras, Athina Petropulu
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24 October 2019 - 5:20am
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[1] Konstantinos Diamantaras, Athina Petropulu, "Optimal Mobile Relay Beamforming via Reinforcement Learning", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4885. Accessed: Jan. 26, 2020.
@article{4885-19,
url = {http://sigport.org/4885},
author = {Konstantinos Diamantaras; Athina Petropulu },
publisher = {IEEE SigPort},
title = {Optimal Mobile Relay Beamforming via Reinforcement Learning},
year = {2019} }
TY - EJOUR
T1 - Optimal Mobile Relay Beamforming via Reinforcement Learning
AU - Konstantinos Diamantaras; Athina Petropulu
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4885
ER -
Konstantinos Diamantaras, Athina Petropulu. (2019). Optimal Mobile Relay Beamforming via Reinforcement Learning. IEEE SigPort. http://sigport.org/4885
Konstantinos Diamantaras, Athina Petropulu, 2019. Optimal Mobile Relay Beamforming via Reinforcement Learning. Available at: http://sigport.org/4885.
Konstantinos Diamantaras, Athina Petropulu. (2019). "Optimal Mobile Relay Beamforming via Reinforcement Learning." Web.
1. Konstantinos Diamantaras, Athina Petropulu. Optimal Mobile Relay Beamforming via Reinforcement Learning [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4885

MSE Based Precoding Schemes For Partially Correlated Transmissions In Interference Channels

Navneet Garg

In this paper, we consider interference channel model in which transmissions from multiple users are partially correlated. This correlation arises in wireless sensor network (WSN) scenarios and temporally correlated models. Considering this model, two minimum mean squared error (MSE) based precoding methods are derived. With these formulations, an iterative convergent procedure is formulated similar to a typical interference alignment (IA) algorithm. Simulations show that the second method provides the best sum rates for different correlation values.

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Authors:
Navneet Garg
Navneet Garg, Govind Sharma, Tharmalingam Ratnarajah
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10 May 2019 - 7:50am
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[1] Navneet Garg, Govind Sharma, Tharmalingam Ratnarajah, "MSE Based Precoding Schemes For Partially Correlated Transmissions In Interference Channels", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4313. Accessed: Jan. 26, 2020.
@article{4313-19,
url = {http://sigport.org/4313},
author = {Navneet Garg; Govind Sharma; Tharmalingam Ratnarajah },
publisher = {IEEE SigPort},
title = {MSE Based Precoding Schemes For Partially Correlated Transmissions In Interference Channels},
year = {2019} }
TY - EJOUR
T1 - MSE Based Precoding Schemes For Partially Correlated Transmissions In Interference Channels
AU - Navneet Garg; Govind Sharma; Tharmalingam Ratnarajah
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4313
ER -
Navneet Garg, Govind Sharma, Tharmalingam Ratnarajah. (2019). MSE Based Precoding Schemes For Partially Correlated Transmissions In Interference Channels. IEEE SigPort. http://sigport.org/4313
Navneet Garg, Govind Sharma, Tharmalingam Ratnarajah, 2019. MSE Based Precoding Schemes For Partially Correlated Transmissions In Interference Channels. Available at: http://sigport.org/4313.
Navneet Garg, Govind Sharma, Tharmalingam Ratnarajah. (2019). "MSE Based Precoding Schemes For Partially Correlated Transmissions In Interference Channels." Web.
1. Navneet Garg, Govind Sharma, Tharmalingam Ratnarajah. MSE Based Precoding Schemes For Partially Correlated Transmissions In Interference Channels [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4313

TS-MC: Two stage matrix completion algorithm for Wireless sensor networks

Neha Jain
Anubha Gupta
VIVEK BOHARA

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Authors:
Neha Jain
Anubha Gupta
VIVEK BOHARA
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10 May 2019 - 7:00am
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[1] , "TS-MC: Two stage matrix completion algorithm for Wireless sensor networks", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4302. Accessed: Jan. 26, 2020.
@article{4302-19,
url = {http://sigport.org/4302},
author = { },
publisher = {IEEE SigPort},
title = {TS-MC: Two stage matrix completion algorithm for Wireless sensor networks},
year = {2019} }
TY - EJOUR
T1 - TS-MC: Two stage matrix completion algorithm for Wireless sensor networks
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4302
ER -
. (2019). TS-MC: Two stage matrix completion algorithm for Wireless sensor networks. IEEE SigPort. http://sigport.org/4302
, 2019. TS-MC: Two stage matrix completion algorithm for Wireless sensor networks. Available at: http://sigport.org/4302.
. (2019). "TS-MC: Two stage matrix completion algorithm for Wireless sensor networks." Web.
1. . TS-MC: Two stage matrix completion algorithm for Wireless sensor networks [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4302

ALGEBRAICALLY-INITIALIZED EXPECTATION MAXIMIZATION FOR HEADER-FREE COMMUNICATION

Liangzu Peng

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Authors:
Liangzu Peng
Liangzu Peng, Xuming Song, Manolis C. Tsakiris, Hayoung Choi, Laurent Kneip, and Yuamming Shi
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7 May 2019 - 10:00pm
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icassp19poster_penglz.pdf

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[1] Liangzu Peng, Xuming Song, Manolis C. Tsakiris, Hayoung Choi, Laurent Kneip, and Yuamming Shi, "ALGEBRAICALLY-INITIALIZED EXPECTATION MAXIMIZATION FOR HEADER-FREE COMMUNICATION", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/3990. Accessed: Jan. 26, 2020.
@article{3990-19,
url = {http://sigport.org/3990},
author = {Liangzu Peng; Xuming Song; Manolis C. Tsakiris; Hayoung Choi; Laurent Kneip; and Yuamming Shi },
publisher = {IEEE SigPort},
title = {ALGEBRAICALLY-INITIALIZED EXPECTATION MAXIMIZATION FOR HEADER-FREE COMMUNICATION},
year = {2019} }
TY - EJOUR
T1 - ALGEBRAICALLY-INITIALIZED EXPECTATION MAXIMIZATION FOR HEADER-FREE COMMUNICATION
AU - Liangzu Peng; Xuming Song; Manolis C. Tsakiris; Hayoung Choi; Laurent Kneip; and Yuamming Shi
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/3990
ER -
Liangzu Peng, Xuming Song, Manolis C. Tsakiris, Hayoung Choi, Laurent Kneip, and Yuamming Shi. (2019). ALGEBRAICALLY-INITIALIZED EXPECTATION MAXIMIZATION FOR HEADER-FREE COMMUNICATION. IEEE SigPort. http://sigport.org/3990
Liangzu Peng, Xuming Song, Manolis C. Tsakiris, Hayoung Choi, Laurent Kneip, and Yuamming Shi, 2019. ALGEBRAICALLY-INITIALIZED EXPECTATION MAXIMIZATION FOR HEADER-FREE COMMUNICATION. Available at: http://sigport.org/3990.
Liangzu Peng, Xuming Song, Manolis C. Tsakiris, Hayoung Choi, Laurent Kneip, and Yuamming Shi. (2019). "ALGEBRAICALLY-INITIALIZED EXPECTATION MAXIMIZATION FOR HEADER-FREE COMMUNICATION." Web.
1. Liangzu Peng, Xuming Song, Manolis C. Tsakiris, Hayoung Choi, Laurent Kneip, and Yuamming Shi. ALGEBRAICALLY-INITIALIZED EXPECTATION MAXIMIZATION FOR HEADER-FREE COMMUNICATION [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/3990

On Optimal Sensing and Capacity Trade-off in Cognitive Radio Systems with Directional Antennas

Hassan Yazdani

We consider a cognitive radio system, in which the secondary users (SUs) and primary users (PUs) coexist. The SUs are equipped with steerable directional antennas. In our system, the secondary transmitter (SUtx) first senses the spectrum (with errors) for a duration of τ, and, then transmits data to the secondary receiver (SUrx) if spectrum is sensed idle. The sensing time as well as the orientation of SUtx's antenna affect the accuracy of spectrum sensing and yield a trade-off between spectrum sensing and capacity of the secondary network.

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Authors:
Hassan Yazdani
Hassan Yazdani, Azadeh Vosoughi
Submitted On:
27 November 2018 - 1:22am
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Hassan Yazdani GlobalSIP 2018 - 6.pdf

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[1] Hassan Yazdani, Azadeh Vosoughi, "On Optimal Sensing and Capacity Trade-off in Cognitive Radio Systems with Directional Antennas", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3758. Accessed: Jan. 26, 2020.
@article{3758-18,
url = {http://sigport.org/3758},
author = {Hassan Yazdani; Azadeh Vosoughi },
publisher = {IEEE SigPort},
title = {On Optimal Sensing and Capacity Trade-off in Cognitive Radio Systems with Directional Antennas},
year = {2018} }
TY - EJOUR
T1 - On Optimal Sensing and Capacity Trade-off in Cognitive Radio Systems with Directional Antennas
AU - Hassan Yazdani; Azadeh Vosoughi
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3758
ER -
Hassan Yazdani, Azadeh Vosoughi. (2018). On Optimal Sensing and Capacity Trade-off in Cognitive Radio Systems with Directional Antennas. IEEE SigPort. http://sigport.org/3758
Hassan Yazdani, Azadeh Vosoughi, 2018. On Optimal Sensing and Capacity Trade-off in Cognitive Radio Systems with Directional Antennas. Available at: http://sigport.org/3758.
Hassan Yazdani, Azadeh Vosoughi. (2018). "On Optimal Sensing and Capacity Trade-off in Cognitive Radio Systems with Directional Antennas." Web.
1. Hassan Yazdani, Azadeh Vosoughi. On Optimal Sensing and Capacity Trade-off in Cognitive Radio Systems with Directional Antennas [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3758

Optimal Local Thresholds for Distributed Detection in Energy Harvesting Wireless Sensor Networks

Ghazaleh Ardeshiri

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Authors:
Ghazaleh Ardeshiri
Submitted On:
28 November 2018 - 2:50am
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[1] , "Optimal Local Thresholds for Distributed Detection in Energy Harvesting Wireless Sensor Networks", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3747. Accessed: Jan. 26, 2020.
@article{3747-18,
url = {http://sigport.org/3747},
author = { },
publisher = {IEEE SigPort},
title = {Optimal Local Thresholds for Distributed Detection in Energy Harvesting Wireless Sensor Networks},
year = {2018} }
TY - EJOUR
T1 - Optimal Local Thresholds for Distributed Detection in Energy Harvesting Wireless Sensor Networks
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3747
ER -
. (2018). Optimal Local Thresholds for Distributed Detection in Energy Harvesting Wireless Sensor Networks. IEEE SigPort. http://sigport.org/3747
, 2018. Optimal Local Thresholds for Distributed Detection in Energy Harvesting Wireless Sensor Networks. Available at: http://sigport.org/3747.
. (2018). "Optimal Local Thresholds for Distributed Detection in Energy Harvesting Wireless Sensor Networks." Web.
1. . Optimal Local Thresholds for Distributed Detection in Energy Harvesting Wireless Sensor Networks [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3747

Consensus Optimization for Distributed Registration

Rajat Sanyal

We consider the problem of jointly registering multiple point sets using rigid transforms. We propose a distributed algorithm based on consensus optimization for the least-squares formulation of this problem. In each iteration, the computation is distributed among the point sets and the results are averaged. For each point set, the dominant cost per iteration is the SVD of a square matrix of size d, where d is the ambient dimension. Existing methods for joint registration are either centralized or perform the optimization sequentially.

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Authors:
Rajat Sanyal
Kunal N. Chaudhury
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21 November 2018 - 10:16pm
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We propose a distributed algorithm based on consensus optimization for the registering multiple point-clouds.

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[1] Kunal N. Chaudhury, "Consensus Optimization for Distributed Registration", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3709. Accessed: Jan. 26, 2020.
@article{3709-18,
url = {http://sigport.org/3709},
author = {Kunal N. Chaudhury },
publisher = {IEEE SigPort},
title = {Consensus Optimization for Distributed Registration},
year = {2018} }
TY - EJOUR
T1 - Consensus Optimization for Distributed Registration
AU - Kunal N. Chaudhury
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3709
ER -
Kunal N. Chaudhury. (2018). Consensus Optimization for Distributed Registration. IEEE SigPort. http://sigport.org/3709
Kunal N. Chaudhury, 2018. Consensus Optimization for Distributed Registration. Available at: http://sigport.org/3709.
Kunal N. Chaudhury. (2018). "Consensus Optimization for Distributed Registration." Web.
1. Kunal N. Chaudhury. Consensus Optimization for Distributed Registration [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3709

ELITE GRADIENT DESCENT OPTIMIZATION OF ANTENNA PARAMETERS CONSTRAINED BY RADIO COVERAGE IN GREEN CELLULAR NETWORKS

Yaxi Liu

The power consumption of the base stations is the major part of the total consumption of mobile communications, which implies that it is of great significance to reduce the radio transmit power consumption of base stations under the constraint of quality of service. The dynamic of the traffic leads to the adaptive adjustment of the antenna parameters of the base stations or even turning off some base stations serving low user traffic.

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Authors:
Yaxi Liu
Submitted On:
21 November 2018 - 6:56am
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[1] , "ELITE GRADIENT DESCENT OPTIMIZATION OF ANTENNA PARAMETERS CONSTRAINED BY RADIO COVERAGE IN GREEN CELLULAR NETWORKS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3702. Accessed: Jan. 26, 2020.
@article{3702-18,
url = {http://sigport.org/3702},
author = { },
publisher = {IEEE SigPort},
title = {ELITE GRADIENT DESCENT OPTIMIZATION OF ANTENNA PARAMETERS CONSTRAINED BY RADIO COVERAGE IN GREEN CELLULAR NETWORKS},
year = {2018} }
TY - EJOUR
T1 - ELITE GRADIENT DESCENT OPTIMIZATION OF ANTENNA PARAMETERS CONSTRAINED BY RADIO COVERAGE IN GREEN CELLULAR NETWORKS
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3702
ER -
. (2018). ELITE GRADIENT DESCENT OPTIMIZATION OF ANTENNA PARAMETERS CONSTRAINED BY RADIO COVERAGE IN GREEN CELLULAR NETWORKS. IEEE SigPort. http://sigport.org/3702
, 2018. ELITE GRADIENT DESCENT OPTIMIZATION OF ANTENNA PARAMETERS CONSTRAINED BY RADIO COVERAGE IN GREEN CELLULAR NETWORKS. Available at: http://sigport.org/3702.
. (2018). "ELITE GRADIENT DESCENT OPTIMIZATION OF ANTENNA PARAMETERS CONSTRAINED BY RADIO COVERAGE IN GREEN CELLULAR NETWORKS." Web.
1. . ELITE GRADIENT DESCENT OPTIMIZATION OF ANTENNA PARAMETERS CONSTRAINED BY RADIO COVERAGE IN GREEN CELLULAR NETWORKS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3702

ELITE GRADIENT DESCENT OPTIMIZATION OF ANTENNA PARAMETERS CONSTRAINED BY RADIO COVERAGE IN GREEN CELLULAR NETWORKS

Yaxi Liu

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Authors:
Yaxi Liu
Submitted On:
27 March 2019 - 9:05am
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[1] , "ELITE GRADIENT DESCENT OPTIMIZATION OF ANTENNA PARAMETERS CONSTRAINED BY RADIO COVERAGE IN GREEN CELLULAR NETWORKS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3700. Accessed: Jan. 26, 2020.
@article{3700-18,
url = {http://sigport.org/3700},
author = { },
publisher = {IEEE SigPort},
title = {ELITE GRADIENT DESCENT OPTIMIZATION OF ANTENNA PARAMETERS CONSTRAINED BY RADIO COVERAGE IN GREEN CELLULAR NETWORKS},
year = {2018} }
TY - EJOUR
T1 - ELITE GRADIENT DESCENT OPTIMIZATION OF ANTENNA PARAMETERS CONSTRAINED BY RADIO COVERAGE IN GREEN CELLULAR NETWORKS
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3700
ER -
. (2018). ELITE GRADIENT DESCENT OPTIMIZATION OF ANTENNA PARAMETERS CONSTRAINED BY RADIO COVERAGE IN GREEN CELLULAR NETWORKS. IEEE SigPort. http://sigport.org/3700
, 2018. ELITE GRADIENT DESCENT OPTIMIZATION OF ANTENNA PARAMETERS CONSTRAINED BY RADIO COVERAGE IN GREEN CELLULAR NETWORKS. Available at: http://sigport.org/3700.
. (2018). "ELITE GRADIENT DESCENT OPTIMIZATION OF ANTENNA PARAMETERS CONSTRAINED BY RADIO COVERAGE IN GREEN CELLULAR NETWORKS." Web.
1. . ELITE GRADIENT DESCENT OPTIMIZATION OF ANTENNA PARAMETERS CONSTRAINED BY RADIO COVERAGE IN GREEN CELLULAR NETWORKS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3700

Non-line-of-sight Positioning for mmWave Communications

Felix Fellhauer

Using information about the wireless communica- tion channel is a well known approach to estimate a users position. So far it has been shown that such methods can provide positioning information in line-of-sight (LOS) situations by estimating channel properties like time of flight, direction of arrival, and direction of departure of a link between a single access point and station. In this paper we focus on mmWave channels and propose a method that allows positioning in indoor scenarios even under non-line-of-sight conditions by exploiting the presence of scatterers.

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Authors:
Felix Fellhauer
Jonas Lassen, Ahmed Jaber, Nabil Loghin, and Stephan ten Brink
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5 September 2018 - 2:16pm
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NonLineOfSightPositioningFormmWaveCommunicationsA0PrintV1.1.pdf

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[1] Jonas Lassen, Ahmed Jaber, Nabil Loghin, and Stephan ten Brink, "Non-line-of-sight Positioning for mmWave Communications", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3319. Accessed: Jan. 26, 2020.
@article{3319-18,
url = {http://sigport.org/3319},
author = {Jonas Lassen; Ahmed Jaber; Nabil Loghin; and Stephan ten Brink },
publisher = {IEEE SigPort},
title = {Non-line-of-sight Positioning for mmWave Communications},
year = {2018} }
TY - EJOUR
T1 - Non-line-of-sight Positioning for mmWave Communications
AU - Jonas Lassen; Ahmed Jaber; Nabil Loghin; and Stephan ten Brink
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3319
ER -
Jonas Lassen, Ahmed Jaber, Nabil Loghin, and Stephan ten Brink. (2018). Non-line-of-sight Positioning for mmWave Communications. IEEE SigPort. http://sigport.org/3319
Jonas Lassen, Ahmed Jaber, Nabil Loghin, and Stephan ten Brink, 2018. Non-line-of-sight Positioning for mmWave Communications. Available at: http://sigport.org/3319.
Jonas Lassen, Ahmed Jaber, Nabil Loghin, and Stephan ten Brink. (2018). "Non-line-of-sight Positioning for mmWave Communications." Web.
1. Jonas Lassen, Ahmed Jaber, Nabil Loghin, and Stephan ten Brink. Non-line-of-sight Positioning for mmWave Communications [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3319

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