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Communication Systems and Applications

ADMM-based Beamforming Optimization for Physical Layer Security in a Full-Duplex Relay System


Although beamforming optimization problems in full-duplex communication systems can be optimally solved with the semidefinite relaxation (SDR) approach, its computational complexity increases rapidly when the problem size increases. In order to circumvent this issue, in this paper, we propose an alternating direction of multiplier method (ADMM) which minimizes the augmented Lagrangian of the dual of the SDR and handles the inequality constraints with the use of slack variables. The proposed ADMM is then applied for optimizing the relay beamformer to maximize the secrecy rate.

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10 May 2019 - 11:02pm
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ICASSP2019PosterFinal.pdf

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[1] , "ADMM-based Beamforming Optimization for Physical Layer Security in a Full-Duplex Relay System", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4429. Accessed: Jul. 23, 2019.
@article{4429-19,
url = {http://sigport.org/4429},
author = { },
publisher = {IEEE SigPort},
title = {ADMM-based Beamforming Optimization for Physical Layer Security in a Full-Duplex Relay System},
year = {2019} }
TY - EJOUR
T1 - ADMM-based Beamforming Optimization for Physical Layer Security in a Full-Duplex Relay System
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4429
ER -
. (2019). ADMM-based Beamforming Optimization for Physical Layer Security in a Full-Duplex Relay System. IEEE SigPort. http://sigport.org/4429
, 2019. ADMM-based Beamforming Optimization for Physical Layer Security in a Full-Duplex Relay System. Available at: http://sigport.org/4429.
. (2019). "ADMM-based Beamforming Optimization for Physical Layer Security in a Full-Duplex Relay System." Web.
1. . ADMM-based Beamforming Optimization for Physical Layer Security in a Full-Duplex Relay System [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4429

Multiresolution time-of-arrival estimation from multiband radio channel measurements


Achieving high resolution time-of-arrival (TOA) estimation in multipath propagation scenarios from bandlimited observations of communication signals is challenging because the multipath channel impulse response (CIR) is not bandlimited. Modeling the CIR as a sparse sequence of Diracs, TOA estimation becomes a problem of parametric spectral inference from observed bandlimited signals. To increase resolution without arriving at unrealistic sampling rates, we consider multiband sampling approach, and propose a practical multibranch receiver for the acquisition.

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Authors:
Tarik Kazaz, Raj Thilak Rajan, Gerard J. M. Janssen and Alle-Jan van der Veen
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15 May 2019 - 7:07pm
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ICASSP_poster_Tarik_Kazaz.pdf

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[1] Tarik Kazaz, Raj Thilak Rajan, Gerard J. M. Janssen and Alle-Jan van der Veen, "Multiresolution time-of-arrival estimation from multiband radio channel measurements", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4206. Accessed: Jul. 23, 2019.
@article{4206-19,
url = {http://sigport.org/4206},
author = {Tarik Kazaz; Raj Thilak Rajan; Gerard J. M. Janssen and Alle-Jan van der Veen },
publisher = {IEEE SigPort},
title = {Multiresolution time-of-arrival estimation from multiband radio channel measurements},
year = {2019} }
TY - EJOUR
T1 - Multiresolution time-of-arrival estimation from multiband radio channel measurements
AU - Tarik Kazaz; Raj Thilak Rajan; Gerard J. M. Janssen and Alle-Jan van der Veen
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4206
ER -
Tarik Kazaz, Raj Thilak Rajan, Gerard J. M. Janssen and Alle-Jan van der Veen. (2019). Multiresolution time-of-arrival estimation from multiband radio channel measurements. IEEE SigPort. http://sigport.org/4206
Tarik Kazaz, Raj Thilak Rajan, Gerard J. M. Janssen and Alle-Jan van der Veen, 2019. Multiresolution time-of-arrival estimation from multiband radio channel measurements. Available at: http://sigport.org/4206.
Tarik Kazaz, Raj Thilak Rajan, Gerard J. M. Janssen and Alle-Jan van der Veen. (2019). "Multiresolution time-of-arrival estimation from multiband radio channel measurements." Web.
1. Tarik Kazaz, Raj Thilak Rajan, Gerard J. M. Janssen and Alle-Jan van der Veen. Multiresolution time-of-arrival estimation from multiband radio channel measurements [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4206

Sum Throughput Maximization For Multi-Tag MISO Backscattering


Backscatter communication (BSC) is emerging as the core technology for pervasive sustainable internet-of-things applications. However, owing to the resource-limitations of passive tags, this work targets at maximizing the achievable sum-backscattered-throughput by jointly optimizing the transceiver (TRX) design at the full-duplex multiantenna reader and backscattering coefficients (BC) at the single antenna tags.

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Authors:
Deepak Mishra, Erik G. Larsson
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8 May 2019 - 4:43am
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[1] Deepak Mishra, Erik G. Larsson, "Sum Throughput Maximization For Multi-Tag MISO Backscattering", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4050. Accessed: Jul. 23, 2019.
@article{4050-19,
url = {http://sigport.org/4050},
author = {Deepak Mishra; Erik G. Larsson },
publisher = {IEEE SigPort},
title = {Sum Throughput Maximization For Multi-Tag MISO Backscattering},
year = {2019} }
TY - EJOUR
T1 - Sum Throughput Maximization For Multi-Tag MISO Backscattering
AU - Deepak Mishra; Erik G. Larsson
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4050
ER -
Deepak Mishra, Erik G. Larsson. (2019). Sum Throughput Maximization For Multi-Tag MISO Backscattering. IEEE SigPort. http://sigport.org/4050
Deepak Mishra, Erik G. Larsson, 2019. Sum Throughput Maximization For Multi-Tag MISO Backscattering. Available at: http://sigport.org/4050.
Deepak Mishra, Erik G. Larsson. (2019). "Sum Throughput Maximization For Multi-Tag MISO Backscattering." Web.
1. Deepak Mishra, Erik G. Larsson. Sum Throughput Maximization For Multi-Tag MISO Backscattering [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4050

Global Energy Efficiency Maximization in Non-Orthogonal Interference Networks


Energy efficient resource allocation in interference networks is a challenging global optimization problem. The main issue is that the computational complexity grows exponentially in the number of variables. In general, resource allocation in interference networks requires optimizing jointly over achievable rates and transmit powers. However, close scrutiny reveals that the non-convexity stems mostly from the powers while the problem is linear in the rates.

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8 May 2019 - 2:48am
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Global Energy Efficiency Maximization in Non-Orthogonal Interference Networks

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[1] , "Global Energy Efficiency Maximization in Non-Orthogonal Interference Networks", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4026. Accessed: Jul. 23, 2019.
@article{4026-19,
url = {http://sigport.org/4026},
author = { },
publisher = {IEEE SigPort},
title = {Global Energy Efficiency Maximization in Non-Orthogonal Interference Networks},
year = {2019} }
TY - EJOUR
T1 - Global Energy Efficiency Maximization in Non-Orthogonal Interference Networks
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4026
ER -
. (2019). Global Energy Efficiency Maximization in Non-Orthogonal Interference Networks. IEEE SigPort. http://sigport.org/4026
, 2019. Global Energy Efficiency Maximization in Non-Orthogonal Interference Networks. Available at: http://sigport.org/4026.
. (2019). "Global Energy Efficiency Maximization in Non-Orthogonal Interference Networks." Web.
1. . Global Energy Efficiency Maximization in Non-Orthogonal Interference Networks [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4026

LOW-COMPLEXITY DETECTION AND PERFORMANCE ANALYSIS FOR DECODE-AND-FORWARD RELAY NETWORKS


We re-examine the problem of designing low-complexity detectors and their performance analysis for the 3-node oneway decode-and-forward (DF) relay network, where the destination has the statistical channel state information (CSI) of the source-relay link, and the instantaneous CSI of both the source-destination and relay-destination links. Recently proposed detection schemes, such as the piece-wise linear detector (PLD), achieve near-optimal error performance with linear complexity (with respect to the modulation size).

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Authors:
Yuxin Lu, Wai Ho Mow
Submitted On:
7 May 2019 - 11:46pm
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poster_ICASSP_2019.pdf

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[1] Yuxin Lu, Wai Ho Mow, "LOW-COMPLEXITY DETECTION AND PERFORMANCE ANALYSIS FOR DECODE-AND-FORWARD RELAY NETWORKS", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4001. Accessed: Jul. 23, 2019.
@article{4001-19,
url = {http://sigport.org/4001},
author = {Yuxin Lu; Wai Ho Mow },
publisher = {IEEE SigPort},
title = {LOW-COMPLEXITY DETECTION AND PERFORMANCE ANALYSIS FOR DECODE-AND-FORWARD RELAY NETWORKS},
year = {2019} }
TY - EJOUR
T1 - LOW-COMPLEXITY DETECTION AND PERFORMANCE ANALYSIS FOR DECODE-AND-FORWARD RELAY NETWORKS
AU - Yuxin Lu; Wai Ho Mow
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4001
ER -
Yuxin Lu, Wai Ho Mow. (2019). LOW-COMPLEXITY DETECTION AND PERFORMANCE ANALYSIS FOR DECODE-AND-FORWARD RELAY NETWORKS. IEEE SigPort. http://sigport.org/4001
Yuxin Lu, Wai Ho Mow, 2019. LOW-COMPLEXITY DETECTION AND PERFORMANCE ANALYSIS FOR DECODE-AND-FORWARD RELAY NETWORKS. Available at: http://sigport.org/4001.
Yuxin Lu, Wai Ho Mow. (2019). "LOW-COMPLEXITY DETECTION AND PERFORMANCE ANALYSIS FOR DECODE-AND-FORWARD RELAY NETWORKS." Web.
1. Yuxin Lu, Wai Ho Mow. LOW-COMPLEXITY DETECTION AND PERFORMANCE ANALYSIS FOR DECODE-AND-FORWARD RELAY NETWORKS [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4001

FREQUENCY-DOMAIN DECOUPLING FOR MIMO-GFDM SPATIAL MULTIPLEXING


Generalized frequency division multiplexing (GFDM) is considered a nonorthogonal waveform and can cause difficulties when used in the spatial multiplexing mode of a multiple-input-multiple-output (MIMO) scenario. In this paper, a class of GFDM prototype filters, in which the GFDM system is free from inter subcarrier interference, is investigated, enabling frequency-domain decoupling during processing at the GFDM receiver. An efficient MIMO-GFDM detection method based on depth-first sphere decoding is subsequently proposed with this class of filters.

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Authors:
Ching-Lun Tai, Borching Su, Cai Jia
Submitted On:
7 May 2019 - 1:53pm
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[ICASSP2019] Poster #1036.pdf

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[1] Ching-Lun Tai, Borching Su, Cai Jia, "FREQUENCY-DOMAIN DECOUPLING FOR MIMO-GFDM SPATIAL MULTIPLEXING", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/3930. Accessed: Jul. 23, 2019.
@article{3930-19,
url = {http://sigport.org/3930},
author = {Ching-Lun Tai; Borching Su; Cai Jia },
publisher = {IEEE SigPort},
title = {FREQUENCY-DOMAIN DECOUPLING FOR MIMO-GFDM SPATIAL MULTIPLEXING},
year = {2019} }
TY - EJOUR
T1 - FREQUENCY-DOMAIN DECOUPLING FOR MIMO-GFDM SPATIAL MULTIPLEXING
AU - Ching-Lun Tai; Borching Su; Cai Jia
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/3930
ER -
Ching-Lun Tai, Borching Su, Cai Jia. (2019). FREQUENCY-DOMAIN DECOUPLING FOR MIMO-GFDM SPATIAL MULTIPLEXING. IEEE SigPort. http://sigport.org/3930
Ching-Lun Tai, Borching Su, Cai Jia, 2019. FREQUENCY-DOMAIN DECOUPLING FOR MIMO-GFDM SPATIAL MULTIPLEXING. Available at: http://sigport.org/3930.
Ching-Lun Tai, Borching Su, Cai Jia. (2019). "FREQUENCY-DOMAIN DECOUPLING FOR MIMO-GFDM SPATIAL MULTIPLEXING." Web.
1. Ching-Lun Tai, Borching Su, Cai Jia. FREQUENCY-DOMAIN DECOUPLING FOR MIMO-GFDM SPATIAL MULTIPLEXING [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/3930

SPARSE BLIND DEMIXING FOR LOW-LATENCY SIGNAL RECOVERY IN MASSIVE CONNECTIVITY


Internet-of-Things (IoT) networks are envisioned to typically
include a massive number of devices with sporadic and low-latency
uplink service needs. This paper presents a blind
demixing approach to support the data recovery of multiple
simultaneous and unscheduled device transmissions without
a priori channel state information (CSI). The proposed joint
receiver leverages the group sparse bilinear characteristics
of the underlying problem that involves active device detection
and data recovery. We exploit the manifold geometry

Paper Details

Authors:
Yuanming Shi, Zhi Ding
Submitted On:
16 February 2019 - 9:46pm
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[1] Yuanming Shi, Zhi Ding, "SPARSE BLIND DEMIXING FOR LOW-LATENCY SIGNAL RECOVERY IN MASSIVE CONNECTIVITY", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/3853. Accessed: Jul. 23, 2019.
@article{3853-19,
url = {http://sigport.org/3853},
author = {Yuanming Shi; Zhi Ding },
publisher = {IEEE SigPort},
title = {SPARSE BLIND DEMIXING FOR LOW-LATENCY SIGNAL RECOVERY IN MASSIVE CONNECTIVITY},
year = {2019} }
TY - EJOUR
T1 - SPARSE BLIND DEMIXING FOR LOW-LATENCY SIGNAL RECOVERY IN MASSIVE CONNECTIVITY
AU - Yuanming Shi; Zhi Ding
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/3853
ER -
Yuanming Shi, Zhi Ding. (2019). SPARSE BLIND DEMIXING FOR LOW-LATENCY SIGNAL RECOVERY IN MASSIVE CONNECTIVITY. IEEE SigPort. http://sigport.org/3853
Yuanming Shi, Zhi Ding, 2019. SPARSE BLIND DEMIXING FOR LOW-LATENCY SIGNAL RECOVERY IN MASSIVE CONNECTIVITY. Available at: http://sigport.org/3853.
Yuanming Shi, Zhi Ding. (2019). "SPARSE BLIND DEMIXING FOR LOW-LATENCY SIGNAL RECOVERY IN MASSIVE CONNECTIVITY." Web.
1. Yuanming Shi, Zhi Ding. SPARSE BLIND DEMIXING FOR LOW-LATENCY SIGNAL RECOVERY IN MASSIVE CONNECTIVITY [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/3853

SPARSE BLIND DEMIXING FOR LOW-LATENCY SIGNAL RECOVERY IN MASSIVE CONNECTIVITY


Internet-of-Things (IoT) networks are envisioned to typically
include a massive number of devices with sporadic and low-latency
uplink service needs. This paper presents a blind
demixing approach to support the data recovery of multiple
simultaneous and unscheduled device transmissions without
a priori channel state information (CSI). The proposed joint
receiver leverages the group sparse bilinear characteristics
of the underlying problem that involves active device detection
and data recovery. We exploit the manifold geometry

Paper Details

Authors:
Yuanming Shi, Zhi Ding
Submitted On:
27 March 2019 - 9:05am
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[1] Yuanming Shi, Zhi Ding, "SPARSE BLIND DEMIXING FOR LOW-LATENCY SIGNAL RECOVERY IN MASSIVE CONNECTIVITY", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/3852. Accessed: Jul. 23, 2019.
@article{3852-19,
url = {http://sigport.org/3852},
author = {Yuanming Shi; Zhi Ding },
publisher = {IEEE SigPort},
title = {SPARSE BLIND DEMIXING FOR LOW-LATENCY SIGNAL RECOVERY IN MASSIVE CONNECTIVITY},
year = {2019} }
TY - EJOUR
T1 - SPARSE BLIND DEMIXING FOR LOW-LATENCY SIGNAL RECOVERY IN MASSIVE CONNECTIVITY
AU - Yuanming Shi; Zhi Ding
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/3852
ER -
Yuanming Shi, Zhi Ding. (2019). SPARSE BLIND DEMIXING FOR LOW-LATENCY SIGNAL RECOVERY IN MASSIVE CONNECTIVITY. IEEE SigPort. http://sigport.org/3852
Yuanming Shi, Zhi Ding, 2019. SPARSE BLIND DEMIXING FOR LOW-LATENCY SIGNAL RECOVERY IN MASSIVE CONNECTIVITY. Available at: http://sigport.org/3852.
Yuanming Shi, Zhi Ding. (2019). "SPARSE BLIND DEMIXING FOR LOW-LATENCY SIGNAL RECOVERY IN MASSIVE CONNECTIVITY." Web.
1. Yuanming Shi, Zhi Ding. SPARSE BLIND DEMIXING FOR LOW-LATENCY SIGNAL RECOVERY IN MASSIVE CONNECTIVITY [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/3852

Cryptographic Side-Channel Signaling and Authentication via Fingerprint Embedding


We describe a general framework for designing and embedding a fingerprint at the physical layer of a wireless network to achieve authentication with enhanced security and stealth. Fingerprint embedding is a key-aided process of superimposing a low-power tag to the primary message waveform for the purpose of authenticating the transmission. The tag is uniquely created from the message and key, and successful authentication is achieved when the correct tag is detected by the receiver.

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10 December 2018 - 11:28am
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PHY Security Seminar GlobalSIP 18 27 Nov 2018.pdf

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[1] , "Cryptographic Side-Channel Signaling and Authentication via Fingerprint Embedding", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3835. Accessed: Jul. 23, 2019.
@article{3835-18,
url = {http://sigport.org/3835},
author = { },
publisher = {IEEE SigPort},
title = {Cryptographic Side-Channel Signaling and Authentication via Fingerprint Embedding},
year = {2018} }
TY - EJOUR
T1 - Cryptographic Side-Channel Signaling and Authentication via Fingerprint Embedding
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3835
ER -
. (2018). Cryptographic Side-Channel Signaling and Authentication via Fingerprint Embedding. IEEE SigPort. http://sigport.org/3835
, 2018. Cryptographic Side-Channel Signaling and Authentication via Fingerprint Embedding. Available at: http://sigport.org/3835.
. (2018). "Cryptographic Side-Channel Signaling and Authentication via Fingerprint Embedding." Web.
1. . Cryptographic Side-Channel Signaling and Authentication via Fingerprint Embedding [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3835

Relay-Aided Secure Broadcasting for VLC

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Authors:
Ahmed Arafa, Erdal Panayirci, H. Vincent Poor
Submitted On:
28 November 2018 - 2:48pm
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[1] Ahmed Arafa, Erdal Panayirci, H. Vincent Poor, "Relay-Aided Secure Broadcasting for VLC", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3824. Accessed: Jul. 23, 2019.
@article{3824-18,
url = {http://sigport.org/3824},
author = {Ahmed Arafa; Erdal Panayirci; H. Vincent Poor },
publisher = {IEEE SigPort},
title = {Relay-Aided Secure Broadcasting for VLC},
year = {2018} }
TY - EJOUR
T1 - Relay-Aided Secure Broadcasting for VLC
AU - Ahmed Arafa; Erdal Panayirci; H. Vincent Poor
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3824
ER -
Ahmed Arafa, Erdal Panayirci, H. Vincent Poor. (2018). Relay-Aided Secure Broadcasting for VLC. IEEE SigPort. http://sigport.org/3824
Ahmed Arafa, Erdal Panayirci, H. Vincent Poor, 2018. Relay-Aided Secure Broadcasting for VLC. Available at: http://sigport.org/3824.
Ahmed Arafa, Erdal Panayirci, H. Vincent Poor. (2018). "Relay-Aided Secure Broadcasting for VLC." Web.
1. Ahmed Arafa, Erdal Panayirci, H. Vincent Poor. Relay-Aided Secure Broadcasting for VLC [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3824

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