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

Energy Efficient Consensus over Directed Graphs

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19 April 2018 - 2:22pm
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ICASSP 2018.pdf

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[1] , "Energy Efficient Consensus over Directed Graphs", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2995. Accessed: Jun. 18, 2018.
@article{2995-18,
url = {http://sigport.org/2995},
author = { },
publisher = {IEEE SigPort},
title = {Energy Efficient Consensus over Directed Graphs},
year = {2018} }
TY - EJOUR
T1 - Energy Efficient Consensus over Directed Graphs
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2995
ER -
. (2018). Energy Efficient Consensus over Directed Graphs. IEEE SigPort. http://sigport.org/2995
, 2018. Energy Efficient Consensus over Directed Graphs. Available at: http://sigport.org/2995.
. (2018). "Energy Efficient Consensus over Directed Graphs." Web.
1. . Energy Efficient Consensus over Directed Graphs [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2995

A Coupled Compressive Sensing Scheme for Unsourced Multiple Access

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V.K. Amalladinne, A. Vem, D. Soma, K.R. Narayanan, J.-F. Chamberland
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18 April 2018 - 3:47pm
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slides_ICASSP.pdf

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[1] V.K. Amalladinne, A. Vem, D. Soma, K.R. Narayanan, J.-F. Chamberland, "A Coupled Compressive Sensing Scheme for Unsourced Multiple Access", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2971. Accessed: Jun. 18, 2018.
@article{2971-18,
url = {http://sigport.org/2971},
author = {V.K. Amalladinne; A. Vem; D. Soma; K.R. Narayanan; J.-F. Chamberland },
publisher = {IEEE SigPort},
title = {A Coupled Compressive Sensing Scheme for Unsourced Multiple Access},
year = {2018} }
TY - EJOUR
T1 - A Coupled Compressive Sensing Scheme for Unsourced Multiple Access
AU - V.K. Amalladinne; A. Vem; D. Soma; K.R. Narayanan; J.-F. Chamberland
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2971
ER -
V.K. Amalladinne, A. Vem, D. Soma, K.R. Narayanan, J.-F. Chamberland. (2018). A Coupled Compressive Sensing Scheme for Unsourced Multiple Access. IEEE SigPort. http://sigport.org/2971
V.K. Amalladinne, A. Vem, D. Soma, K.R. Narayanan, J.-F. Chamberland, 2018. A Coupled Compressive Sensing Scheme for Unsourced Multiple Access. Available at: http://sigport.org/2971.
V.K. Amalladinne, A. Vem, D. Soma, K.R. Narayanan, J.-F. Chamberland. (2018). "A Coupled Compressive Sensing Scheme for Unsourced Multiple Access." Web.
1. V.K. Amalladinne, A. Vem, D. Soma, K.R. Narayanan, J.-F. Chamberland. A Coupled Compressive Sensing Scheme for Unsourced Multiple Access [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2971

FAST DECENTRALIZED LEARNING VIA HYBRID CONSENSUS ADMM


The present work introduces the hybrid consensus alternating direction method of multipliers (H-CADMM), a novel framework for optimization over networks which unifies existing distributed optimization approaches, including the centralized and the decentralized consensus ADMM. H-CADMM provides a flexible tool that leverages the underlying graph topology in order to achieve a desirable sweet-spot between node-to-node communication overhead and rate of convergence -- thereby alleviating known limitations of both C-CADMM and D-CADMM.

ICASSP2018.pdf

PDF icon H-CADMM (54 downloads)

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Authors:
Meng Ma, Athanasios N. Nikolakopoulos, Georgios B. Giannakis
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13 April 2018 - 4:18pm
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H-CADMM

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[1] Meng Ma, Athanasios N. Nikolakopoulos, Georgios B. Giannakis, "FAST DECENTRALIZED LEARNING VIA HYBRID CONSENSUS ADMM", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2760. Accessed: Jun. 18, 2018.
@article{2760-18,
url = {http://sigport.org/2760},
author = {Meng Ma; Athanasios N. Nikolakopoulos; Georgios B. Giannakis },
publisher = {IEEE SigPort},
title = {FAST DECENTRALIZED LEARNING VIA HYBRID CONSENSUS ADMM},
year = {2018} }
TY - EJOUR
T1 - FAST DECENTRALIZED LEARNING VIA HYBRID CONSENSUS ADMM
AU - Meng Ma; Athanasios N. Nikolakopoulos; Georgios B. Giannakis
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2760
ER -
Meng Ma, Athanasios N. Nikolakopoulos, Georgios B. Giannakis. (2018). FAST DECENTRALIZED LEARNING VIA HYBRID CONSENSUS ADMM. IEEE SigPort. http://sigport.org/2760
Meng Ma, Athanasios N. Nikolakopoulos, Georgios B. Giannakis, 2018. FAST DECENTRALIZED LEARNING VIA HYBRID CONSENSUS ADMM. Available at: http://sigport.org/2760.
Meng Ma, Athanasios N. Nikolakopoulos, Georgios B. Giannakis. (2018). "FAST DECENTRALIZED LEARNING VIA HYBRID CONSENSUS ADMM." Web.
1. Meng Ma, Athanasios N. Nikolakopoulos, Georgios B. Giannakis. FAST DECENTRALIZED LEARNING VIA HYBRID CONSENSUS ADMM [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2760

DISTRIBUTED OPTIMAL CONSENSUS-BASED KALMAN FILTERING AND ITS RELATION TO MAP ESTIMATION


In this paper, we address the problem of distributed state estimation, where a set of nodes are required to jointly estimate the state of a linear dynamic system based on sequential measurements. In our distributed scenario, all the nodes 1) are interested in the full state of the observed system and 2) pursue a consensus-based state estimate with high accuracy. We exploit the equivalent relation between the maximum-a-posteriori (MAP) estimation and the Kalman filter (KF) in the minimum mean square error (MMSE) sense under the Gaussian assumption.

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Authors:
Shengdi Wang, Henning Paul, Armin Dekorsy
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13 April 2018 - 9:35am
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UniBremen_Wang

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[1] Shengdi Wang, Henning Paul, Armin Dekorsy, "DISTRIBUTED OPTIMAL CONSENSUS-BASED KALMAN FILTERING AND ITS RELATION TO MAP ESTIMATION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2698. Accessed: Jun. 18, 2018.
@article{2698-18,
url = {http://sigport.org/2698},
author = {Shengdi Wang; Henning Paul; Armin Dekorsy },
publisher = {IEEE SigPort},
title = {DISTRIBUTED OPTIMAL CONSENSUS-BASED KALMAN FILTERING AND ITS RELATION TO MAP ESTIMATION},
year = {2018} }
TY - EJOUR
T1 - DISTRIBUTED OPTIMAL CONSENSUS-BASED KALMAN FILTERING AND ITS RELATION TO MAP ESTIMATION
AU - Shengdi Wang; Henning Paul; Armin Dekorsy
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2698
ER -
Shengdi Wang, Henning Paul, Armin Dekorsy. (2018). DISTRIBUTED OPTIMAL CONSENSUS-BASED KALMAN FILTERING AND ITS RELATION TO MAP ESTIMATION. IEEE SigPort. http://sigport.org/2698
Shengdi Wang, Henning Paul, Armin Dekorsy, 2018. DISTRIBUTED OPTIMAL CONSENSUS-BASED KALMAN FILTERING AND ITS RELATION TO MAP ESTIMATION. Available at: http://sigport.org/2698.
Shengdi Wang, Henning Paul, Armin Dekorsy. (2018). "DISTRIBUTED OPTIMAL CONSENSUS-BASED KALMAN FILTERING AND ITS RELATION TO MAP ESTIMATION." Web.
1. Shengdi Wang, Henning Paul, Armin Dekorsy. DISTRIBUTED OPTIMAL CONSENSUS-BASED KALMAN FILTERING AND ITS RELATION TO MAP ESTIMATION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2698

Distributed Censoring with Energy Constraint in Wireless Sensor Networks


In wireless sensor networks (WSNs), energy is always precious for sensor nodes. To save energy, censoring is introduced to cut the total number of transmission by only transmitting informative data. This algorithm, however, ignores the energy consumption during the delivery of parameters, which can be significant comparing to the saved power. In this paper, we consider the adaptive censoring from the energy perspective. A distributed censoring algorithm with energy constraint is developed that allows sensor nodes to make autonomous

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Authors:
Liu Yang, Hongbin Zhu, Kai Kang, Xiliang Luo, Hua Qian and Yang Yang
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13 April 2018 - 12:54am
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main.pdf

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[1] Liu Yang, Hongbin Zhu, Kai Kang, Xiliang Luo, Hua Qian and Yang Yang, "Distributed Censoring with Energy Constraint in Wireless Sensor Networks", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2596. Accessed: Jun. 18, 2018.
@article{2596-18,
url = {http://sigport.org/2596},
author = {Liu Yang; Hongbin Zhu; Kai Kang; Xiliang Luo; Hua Qian and Yang Yang },
publisher = {IEEE SigPort},
title = {Distributed Censoring with Energy Constraint in Wireless Sensor Networks},
year = {2018} }
TY - EJOUR
T1 - Distributed Censoring with Energy Constraint in Wireless Sensor Networks
AU - Liu Yang; Hongbin Zhu; Kai Kang; Xiliang Luo; Hua Qian and Yang Yang
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2596
ER -
Liu Yang, Hongbin Zhu, Kai Kang, Xiliang Luo, Hua Qian and Yang Yang. (2018). Distributed Censoring with Energy Constraint in Wireless Sensor Networks. IEEE SigPort. http://sigport.org/2596
Liu Yang, Hongbin Zhu, Kai Kang, Xiliang Luo, Hua Qian and Yang Yang, 2018. Distributed Censoring with Energy Constraint in Wireless Sensor Networks. Available at: http://sigport.org/2596.
Liu Yang, Hongbin Zhu, Kai Kang, Xiliang Luo, Hua Qian and Yang Yang. (2018). "Distributed Censoring with Energy Constraint in Wireless Sensor Networks." Web.
1. Liu Yang, Hongbin Zhu, Kai Kang, Xiliang Luo, Hua Qian and Yang Yang. Distributed Censoring with Energy Constraint in Wireless Sensor Networks [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2596

HAMMERSLEY-CHAPMAN-ROBBINS LOWER BOUNDS ON POLE AND RESIDUE ESTIMATES FROM IMPULSE RESPONSE DATA

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Authors:
Abdullah Al Maruf and Sandip Roy
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13 November 2017 - 5:46pm
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GlobalSIP2017_Maruf_poster.pdf

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[1] Abdullah Al Maruf and Sandip Roy, "HAMMERSLEY-CHAPMAN-ROBBINS LOWER BOUNDS ON POLE AND RESIDUE ESTIMATES FROM IMPULSE RESPONSE DATA ", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2343. Accessed: Jun. 18, 2018.
@article{2343-17,
url = {http://sigport.org/2343},
author = {Abdullah Al Maruf and Sandip Roy },
publisher = {IEEE SigPort},
title = {HAMMERSLEY-CHAPMAN-ROBBINS LOWER BOUNDS ON POLE AND RESIDUE ESTIMATES FROM IMPULSE RESPONSE DATA },
year = {2017} }
TY - EJOUR
T1 - HAMMERSLEY-CHAPMAN-ROBBINS LOWER BOUNDS ON POLE AND RESIDUE ESTIMATES FROM IMPULSE RESPONSE DATA
AU - Abdullah Al Maruf and Sandip Roy
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2343
ER -
Abdullah Al Maruf and Sandip Roy. (2017). HAMMERSLEY-CHAPMAN-ROBBINS LOWER BOUNDS ON POLE AND RESIDUE ESTIMATES FROM IMPULSE RESPONSE DATA . IEEE SigPort. http://sigport.org/2343
Abdullah Al Maruf and Sandip Roy, 2017. HAMMERSLEY-CHAPMAN-ROBBINS LOWER BOUNDS ON POLE AND RESIDUE ESTIMATES FROM IMPULSE RESPONSE DATA . Available at: http://sigport.org/2343.
Abdullah Al Maruf and Sandip Roy. (2017). "HAMMERSLEY-CHAPMAN-ROBBINS LOWER BOUNDS ON POLE AND RESIDUE ESTIMATES FROM IMPULSE RESPONSE DATA ." Web.
1. Abdullah Al Maruf and Sandip Roy. HAMMERSLEY-CHAPMAN-ROBBINS LOWER BOUNDS ON POLE AND RESIDUE ESTIMATES FROM IMPULSE RESPONSE DATA [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2343

Kuiper Test based Modulation Level Classification under Unknown Frequency Selective Channels


In this paper, we address the problem of identifying the modulation level of the received signal under an unknown
frequency selective channel. The modulation level classification is performed using reduced-complexity Kuiper (rcK) test which
utilizes the distribution of signal features such as magnitude of the received samples or phase difference in consecutive

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Authors:
Shailesh Chaudhari, Danijela Cabric
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12 November 2017 - 6:14pm
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Shailesh_Poster_GlobalSIP_2017_landscape_v1.pdf

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[1] Shailesh Chaudhari, Danijela Cabric, "Kuiper Test based Modulation Level Classification under Unknown Frequency Selective Channels", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2318. Accessed: Jun. 18, 2018.
@article{2318-17,
url = {http://sigport.org/2318},
author = {Shailesh Chaudhari; Danijela Cabric },
publisher = {IEEE SigPort},
title = {Kuiper Test based Modulation Level Classification under Unknown Frequency Selective Channels},
year = {2017} }
TY - EJOUR
T1 - Kuiper Test based Modulation Level Classification under Unknown Frequency Selective Channels
AU - Shailesh Chaudhari; Danijela Cabric
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2318
ER -
Shailesh Chaudhari, Danijela Cabric. (2017). Kuiper Test based Modulation Level Classification under Unknown Frequency Selective Channels. IEEE SigPort. http://sigport.org/2318
Shailesh Chaudhari, Danijela Cabric, 2017. Kuiper Test based Modulation Level Classification under Unknown Frequency Selective Channels. Available at: http://sigport.org/2318.
Shailesh Chaudhari, Danijela Cabric. (2017). "Kuiper Test based Modulation Level Classification under Unknown Frequency Selective Channels." Web.
1. Shailesh Chaudhari, Danijela Cabric. Kuiper Test based Modulation Level Classification under Unknown Frequency Selective Channels [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2318

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

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22 May 2017 - 11:56pm
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Naveen ICASSP17 PhD Forum Paper

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[1] , " OPTIMAL TRANSCEIVER DESIGN IN MULTI-USER MULTIPLE-INPUT MULTIPLE-OUTPUT WIRELESS NETWORKS", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1796. Accessed: Jun. 18, 2018.
@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

P-Oja for decentralized subspace estimation/tracking

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1 March 2017 - 6:23pm
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POja_icassp_slides.pdf

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[1] , "P-Oja for decentralized subspace estimation/tracking", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1567. Accessed: Jun. 18, 2018.
@article{1567-17,
url = {http://sigport.org/1567},
author = { },
publisher = {IEEE SigPort},
title = {P-Oja for decentralized subspace estimation/tracking},
year = {2017} }
TY - EJOUR
T1 - P-Oja for decentralized subspace estimation/tracking
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1567
ER -
. (2017). P-Oja for decentralized subspace estimation/tracking. IEEE SigPort. http://sigport.org/1567
, 2017. P-Oja for decentralized subspace estimation/tracking. Available at: http://sigport.org/1567.
. (2017). "P-Oja for decentralized subspace estimation/tracking." Web.
1. . P-Oja for decentralized subspace estimation/tracking [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1567

Probabilistic Analysis of Tone Reservation Method for the PAPR Reduction of OFDM Systems


High peak values of transmission signals in wireless communication systems lead to wasteful energy consumption and degradation of several transmission performances. We continue the theoretical contributions made by Boche and Farell towards the understanding of peak value reduction, using the strategy known as tone reservation for orthogonal transmission schemes. There it was shown that for OFDM systems, the combinatorial object called arithmetic progression plays an important role in setting limitations for the applicability of the tone reservation method.

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Authors:
Ezra Tampubolon, Holger Boche
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28 February 2017 - 1:53pm
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Poster_ICASSP2017.pdf

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[1] Ezra Tampubolon, Holger Boche, "Probabilistic Analysis of Tone Reservation Method for the PAPR Reduction of OFDM Systems", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1514. Accessed: Jun. 18, 2018.
@article{1514-17,
url = {http://sigport.org/1514},
author = {Ezra Tampubolon; Holger Boche },
publisher = {IEEE SigPort},
title = {Probabilistic Analysis of Tone Reservation Method for the PAPR Reduction of OFDM Systems},
year = {2017} }
TY - EJOUR
T1 - Probabilistic Analysis of Tone Reservation Method for the PAPR Reduction of OFDM Systems
AU - Ezra Tampubolon; Holger Boche
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1514
ER -
Ezra Tampubolon, Holger Boche. (2017). Probabilistic Analysis of Tone Reservation Method for the PAPR Reduction of OFDM Systems. IEEE SigPort. http://sigport.org/1514
Ezra Tampubolon, Holger Boche, 2017. Probabilistic Analysis of Tone Reservation Method for the PAPR Reduction of OFDM Systems. Available at: http://sigport.org/1514.
Ezra Tampubolon, Holger Boche. (2017). "Probabilistic Analysis of Tone Reservation Method for the PAPR Reduction of OFDM Systems." Web.
1. Ezra Tampubolon, Holger Boche. Probabilistic Analysis of Tone Reservation Method for the PAPR Reduction of OFDM Systems [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1514

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