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

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: Jan. 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: Jan. 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: Jan. 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: Jan. 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: Jan. 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

Decentralized Sparsity Pattern Recovery using 1-bit Compressed Sensing


We address the problem of decentralized joint sparsity pattern recovery based on 1-bit compressive measurements in a distributed network. We assume that the distributed nodes observe sparse signals which share the same but unknown sparsity pattern. Each node obtains measurements via random projections and further quantizes

Kafle.pdf

PDF icon Kafle.pdf (139 downloads)

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Authors:
Thakshila Wimalajeewa, Pramod K. Varshney
Submitted On:
6 December 2016 - 11:54pm
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Kafle.pdf

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[1] Thakshila Wimalajeewa, Pramod K. Varshney, "Decentralized Sparsity Pattern Recovery using 1-bit Compressed Sensing", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1394. Accessed: Jan. 18, 2018.
@article{1394-16,
url = {http://sigport.org/1394},
author = {Thakshila Wimalajeewa; Pramod K. Varshney },
publisher = {IEEE SigPort},
title = {Decentralized Sparsity Pattern Recovery using 1-bit Compressed Sensing},
year = {2016} }
TY - EJOUR
T1 - Decentralized Sparsity Pattern Recovery using 1-bit Compressed Sensing
AU - Thakshila Wimalajeewa; Pramod K. Varshney
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1394
ER -
Thakshila Wimalajeewa, Pramod K. Varshney. (2016). Decentralized Sparsity Pattern Recovery using 1-bit Compressed Sensing. IEEE SigPort. http://sigport.org/1394
Thakshila Wimalajeewa, Pramod K. Varshney, 2016. Decentralized Sparsity Pattern Recovery using 1-bit Compressed Sensing. Available at: http://sigport.org/1394.
Thakshila Wimalajeewa, Pramod K. Varshney. (2016). "Decentralized Sparsity Pattern Recovery using 1-bit Compressed Sensing." Web.
1. Thakshila Wimalajeewa, Pramod K. Varshney. Decentralized Sparsity Pattern Recovery using 1-bit Compressed Sensing [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1394

A STUDY ON MIXING SEQUENCES IN MODULATED WIDEBAND CONVERTERS


In this paper, we study mixing sequences of modulated wideband converters (MWC). The MWC is a sub-Nyquist sampling system which mixes an input analog signal by multiple numbers of fast mixing sequences in parallel. When the mixing sequences are random cyclic shifts of a base sequence for a memory efficiency, the system turns into random partial Fourier structured MWC (RPFMWC). In RPFMWC, the spectrum distribution of a base sequence is important in reconstruction of the input signal.

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Authors:
Jehyuk Jang;Nam Yul Yu;Heung-No Lee
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4 December 2016 - 11:11pm
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Poster for GlobalSIP 2016

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[1] Jehyuk Jang;Nam Yul Yu;Heung-No Lee, "A STUDY ON MIXING SEQUENCES IN MODULATED WIDEBAND CONVERTERS", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1342. Accessed: Jan. 18, 2018.
@article{1342-16,
url = {http://sigport.org/1342},
author = {Jehyuk Jang;Nam Yul Yu;Heung-No Lee },
publisher = {IEEE SigPort},
title = {A STUDY ON MIXING SEQUENCES IN MODULATED WIDEBAND CONVERTERS},
year = {2016} }
TY - EJOUR
T1 - A STUDY ON MIXING SEQUENCES IN MODULATED WIDEBAND CONVERTERS
AU - Jehyuk Jang;Nam Yul Yu;Heung-No Lee
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1342
ER -
Jehyuk Jang;Nam Yul Yu;Heung-No Lee. (2016). A STUDY ON MIXING SEQUENCES IN MODULATED WIDEBAND CONVERTERS. IEEE SigPort. http://sigport.org/1342
Jehyuk Jang;Nam Yul Yu;Heung-No Lee, 2016. A STUDY ON MIXING SEQUENCES IN MODULATED WIDEBAND CONVERTERS. Available at: http://sigport.org/1342.
Jehyuk Jang;Nam Yul Yu;Heung-No Lee. (2016). "A STUDY ON MIXING SEQUENCES IN MODULATED WIDEBAND CONVERTERS." Web.
1. Jehyuk Jang;Nam Yul Yu;Heung-No Lee. A STUDY ON MIXING SEQUENCES IN MODULATED WIDEBAND CONVERTERS [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1342

Traffic-Aware Association in Heterogeneous Networks


To meet the ever-growing mobile data traffic, network spatial densification
with various low-power nodes in addition to the conventional high-power macro base
stations (BS), a.k.a. heterogeneous network (HetNet), is regarded as one key
enabling solution. Due to the unplanned nature, HetNets are very irregular and
severe interference can happen without judicious designs of the user association
rules. Conventional maximum downlink (DL) signal-to-interference-plus-noise ratio
(SINR) association rule, on the other hand, can not fully release the traffic

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21 March 2016 - 3:35am
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2016_0322_HetNet.pdf

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[1] , "Traffic-Aware Association in Heterogeneous Networks", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/910. Accessed: Jan. 18, 2018.
@article{910-16,
url = {http://sigport.org/910},
author = { },
publisher = {IEEE SigPort},
title = {Traffic-Aware Association in Heterogeneous Networks},
year = {2016} }
TY - EJOUR
T1 - Traffic-Aware Association in Heterogeneous Networks
AU -
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/910
ER -
. (2016). Traffic-Aware Association in Heterogeneous Networks. IEEE SigPort. http://sigport.org/910
, 2016. Traffic-Aware Association in Heterogeneous Networks. Available at: http://sigport.org/910.
. (2016). "Traffic-Aware Association in Heterogeneous Networks." Web.
1. . Traffic-Aware Association in Heterogeneous Networks [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/910

RSS-BASED SENSOR LOCALIZATION IN UNDERWATER ACOUSTIC SENSOR NETWORKS


UWA sensor networks

Since the global positioning system (GPS) is not applicable underwater, source localization using wireless sensor networks (WSNs) is gaining popularity in oceanographic applications. Unlike terrestrial WSNs (TWSNs) which use electromagnetic signaling, underwater WSNs (UWSNs) require underwater acoustic (UWA) signaling. Received signal strength (RSS)-based source localization is considered in this paper due to its practical simplicity and the constraint of low-cost sensor devices, but this area received little attention so far because of the complicated UWA transmission loss (TL) phenomena.

RSSmain.pdf

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Authors:
Tao Xu, Yongchang Hu, Bingbing Zhang, Geert Leus
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20 March 2016 - 10:58pm
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RSSmain.pdf

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[1] Tao Xu, Yongchang Hu, Bingbing Zhang, Geert Leus , "RSS-BASED SENSOR LOCALIZATION IN UNDERWATER ACOUSTIC SENSOR NETWORKS", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/906. Accessed: Jan. 18, 2018.
@article{906-16,
url = {http://sigport.org/906},
author = {Tao Xu; Yongchang Hu; Bingbing Zhang; Geert Leus },
publisher = {IEEE SigPort},
title = {RSS-BASED SENSOR LOCALIZATION IN UNDERWATER ACOUSTIC SENSOR NETWORKS},
year = {2016} }
TY - EJOUR
T1 - RSS-BASED SENSOR LOCALIZATION IN UNDERWATER ACOUSTIC SENSOR NETWORKS
AU - Tao Xu; Yongchang Hu; Bingbing Zhang; Geert Leus
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/906
ER -
Tao Xu, Yongchang Hu, Bingbing Zhang, Geert Leus . (2016). RSS-BASED SENSOR LOCALIZATION IN UNDERWATER ACOUSTIC SENSOR NETWORKS. IEEE SigPort. http://sigport.org/906
Tao Xu, Yongchang Hu, Bingbing Zhang, Geert Leus , 2016. RSS-BASED SENSOR LOCALIZATION IN UNDERWATER ACOUSTIC SENSOR NETWORKS. Available at: http://sigport.org/906.
Tao Xu, Yongchang Hu, Bingbing Zhang, Geert Leus . (2016). "RSS-BASED SENSOR LOCALIZATION IN UNDERWATER ACOUSTIC SENSOR NETWORKS." Web.
1. Tao Xu, Yongchang Hu, Bingbing Zhang, Geert Leus . RSS-BASED SENSOR LOCALIZATION IN UNDERWATER ACOUSTIC SENSOR NETWORKS [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/906

Opportunistic Spectrum Access with Temporal-Spatial Reuse in Cognitive Radio Networks


We formulate and study a multi-user multi-armed bandit (MAB) problem that exploits the temporal-spatial reuse of primary user (PU) channels so that secondary users (SUs) who do not interfere with each other can make use of the same PU channel. We first propose a centralized channel allocation policy that has logarithmic regret, but requires a central processor to solve a NP-complete optimization problem at exponentially increasing time intervals.

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Authors:
Yi Zhang, Wee Peng Tay, Kwok Hung Li, Moez Esseghir, Dominique Gaiti
Submitted On:
15 March 2016 - 10:27am
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Poster_ICASSP2016_ZY_v1.pptx

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[1] Yi Zhang, Wee Peng Tay, Kwok Hung Li, Moez Esseghir, Dominique Gaiti, "Opportunistic Spectrum Access with Temporal-Spatial Reuse in Cognitive Radio Networks", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/689. Accessed: Jan. 18, 2018.
@article{689-16,
url = {http://sigport.org/689},
author = {Yi Zhang; Wee Peng Tay; Kwok Hung Li; Moez Esseghir; Dominique Gaiti },
publisher = {IEEE SigPort},
title = {Opportunistic Spectrum Access with Temporal-Spatial Reuse in Cognitive Radio Networks},
year = {2016} }
TY - EJOUR
T1 - Opportunistic Spectrum Access with Temporal-Spatial Reuse in Cognitive Radio Networks
AU - Yi Zhang; Wee Peng Tay; Kwok Hung Li; Moez Esseghir; Dominique Gaiti
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/689
ER -
Yi Zhang, Wee Peng Tay, Kwok Hung Li, Moez Esseghir, Dominique Gaiti. (2016). Opportunistic Spectrum Access with Temporal-Spatial Reuse in Cognitive Radio Networks. IEEE SigPort. http://sigport.org/689
Yi Zhang, Wee Peng Tay, Kwok Hung Li, Moez Esseghir, Dominique Gaiti, 2016. Opportunistic Spectrum Access with Temporal-Spatial Reuse in Cognitive Radio Networks. Available at: http://sigport.org/689.
Yi Zhang, Wee Peng Tay, Kwok Hung Li, Moez Esseghir, Dominique Gaiti. (2016). "Opportunistic Spectrum Access with Temporal-Spatial Reuse in Cognitive Radio Networks." Web.
1. Yi Zhang, Wee Peng Tay, Kwok Hung Li, Moez Esseghir, Dominique Gaiti. Opportunistic Spectrum Access with Temporal-Spatial Reuse in Cognitive Radio Networks [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/689

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