Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Taha Bouchoucha"'
Publikováno v:
IEEE Access, Vol 7, Pp 9714-9723 (2019)
The relentless growth of wireless applications and data traffic continues to accentuate the long felt need for decentralized, self-managed, and cooperative network architectures. Enlightened by the power of blockchain technology, we propose a blockch
Externí odkaz:
https://doaj.org/article/a8ed9abd57504409b6b37c60a3d874b7
Autor:
Taha Bouchoucha, Zhi Ding
Publikováno v:
Journal of Communications and Information Networks. 5:318-323
Anchor-based ad-hoc networks utilize hop measurements to generate a virtual coordinate system for topology inference and routing applications. A common problem with such coordinate system is its sensitivity to anchor placement. We present a general f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c041d30b8a43a945a0fd6e7ada4a919
https://doi.org/10.23919/jcin.2020.9200895
https://doi.org/10.23919/jcin.2020.9200895
Publikováno v:
IEEE Transactions on Signal Processing. 65:2104-2113
In multiple-input multiple-output (MIMO) radar, for desired transmit beampatterns, appropriate correlated waveforms are designed. To design such waveforms, conventional MIMO radar methods use two steps. In the first step, the waveforms covariance mat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8faf466dda2072979f9b1f70fb874e05
https://doi.org/10.1109/tsp.2017.2656840
https://doi.org/10.1109/tsp.2017.2656840
Autor:
Zhi Ding, Taha Bouchoucha
Publikováno v:
ICC
Information cascades represent traces of information propagation in latent unknown networks. The underlying information diffusion dynamics are captured from collected cascade data and used to infer online social network connectivity and structure whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::022f64e67f267e4d3e67923cf2350377
https://doi.org/10.1109/icc.2019.8761335
https://doi.org/10.1109/icc.2019.8761335
Publikováno v:
Bouchoucha, Taha; Chuah, Chen-Nee; & Ding, Zhi. (2019). Topology Inference of Unknown Networks Based on Robust Virtual Coordinate Systems. IEEE/ACM Transactions on Networking, 27(1), 405-418. doi: 10.1109/tnet.2018.2888600. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/0qr8v8kg
© 2018 IEEE. Learning and exploring the connectivity of unknown networks represent an important problem in practical applications of communication networks and social-media networks. Modeling large-scale networks as connected graphs is highly desira
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d5090c421b2a197769227a1217d6642
http://www.escholarship.org/uc/item/0qr8v8kg
http://www.escholarship.org/uc/item/0qr8v8kg
Publikováno v:
Ling, X; Wang, J; Bouchoucha, T; Levy, BC; & Ding, Z. (2019). Blockchain radio access network (B-RAN): Towards decentralized secure radio access paradigm. IEEE Access, 7, 9714-9723. doi: 10.1109/ACCESS.2018.2890557. UC Davis: Retrieved from: http://www.escholarship.org/uc/item/7qh8c8gt
IEEE Access, Vol 7, Pp 9714-9723 (2019)
IEEE Access, Vol 7, Pp 9714-9723 (2019)
© 2013 IEEE. The relentless growth of wireless applications and data traffic continues to accentuate the long felt need for decentralized, self-managed, and cooperative network architectures. Enlightened by the power of blockchain technology, we pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b80527f00588118dfcaf1a9381091b0
http://www.escholarship.org/uc/item/7qh8c8gt
http://www.escholarship.org/uc/item/7qh8c8gt
Publikováno v:
IEEE Signal Processing Letters. 22:1530-1533
We consider wireless sensor networks (WSNs) used for distributed estimation of unknown parameters. Due to the limited bandwidth, sensor nodes quantize their noisy observations before transmission to a fusion center (FC) for the estimation process. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d725f6e9b76a488e12c2f072899eb63c
https://doi.org/10.1109/lsp.2015.2411852
https://doi.org/10.1109/lsp.2015.2411852
Publikováno v:
GLOBECOM
Learning network topology from partial knowledge of its connectivity is an important objective in practical scenarios of communication networks and social-media networks. Representing such networks as connected graphs, exploring and recovering connec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6aff9ae83b567a8ac84ce5aca44e6dc
https://doi.org/10.1109/glocom.2017.8253952
https://doi.org/10.1109/glocom.2017.8253952
Publikováno v:
ICASSP
In multiple-input multiple-output radar systems, it is usually desirable to steer transmitted power in the region-of-interest. To do this, conventional methods optimize the waveform covariance matrix,R, for the desired beampattern, which is then used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37afc0a76982a9e6f1238fe1afd727dd
https://doi.org/10.1109/icassp.2015.7178393
https://doi.org/10.1109/icassp.2015.7178393
Autor:
Hakim Ghazzai, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri, Taha Bouchoucha, Elias Yaacoub, Ahmad Alsharoa
Publikováno v:
IEEE Transactions on Vehicular Technology. :1-1
A high-speed railway system equipped with moving relay stations placed on the middle of the ceiling of each train wagon is investigated. The users inside the train are served in two hops via orthogonal frequency-division multiple-access (OFDMA) techn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75e3db05f801391e02b180b49cc96307
https://doi.org/10.1109/tvt.2016.2542344
https://doi.org/10.1109/tvt.2016.2542344