Zobrazeno 1 - 10
of 312
pro vyhledávání: '"Deniz Gunduz"'
Autor:
Behrooz Razeghi, Marzieh Gheisari, Amir Atashin, Dimche Kostadinov, Sebastien Marcel, Deniz Gunduz, Slava Voloshynovskiy
Publikováno v:
IEEE Access, Vol 12, Pp 86739-86751 (2024)
In today’s digitally interconnected landscape, confirming the genuine associations between entities—whether they are items, devices, or individuals—and specific groups is critical. This paper introduces a new group membership verification metho
Externí odkaz:
https://doaj.org/article/886a5cf69f83402c81aa143cf5d9a9e6
Autor:
Shiqiang Zhu, Ting Yu, Tao Xu, Hongyang Chen, Schahram Dustdar, Sylvain Gigan, Deniz Gunduz, Ekram Hossain, Yaochu Jin, Feng Lin, Bo Liu, Zhiguo Wan, Ji Zhang, Zhifeng Zhao, Wentao Zhu, Zuoning Chen, Tariq S. Durrani, Huaimin Wang, Jiangxing Wu, Tongyi Zhang, Yunhe Pan
Publikováno v:
Intelligent Computing, Vol 2 (2023)
Computing is a critical driving force in the development of human civilization. In recent years, we have witnessed the emergence of intelligent computing, a new computing paradigm that is reshaping traditional computing and promoting digital revoluti
Externí odkaz:
https://doaj.org/article/46c2ee480bf74cc78af893d5731cff35
Autor:
Xia, Jingyuan, Deniz, Gunduz
Publikováno v:
IEEE International Symposium on Information Theory (ISIT), 2021, pp. 2954-2959
Downlink beamforming is an essential technology for wireless cellular networks; however, the design of beamforming vectors that maximize the weighted sum rate (WSR) is an NP-hard problem and iterative algorithms are typically applied to solve it. The
Externí odkaz:
http://arxiv.org/abs/2103.11978
Autor:
Yulin Shao, Deniz Gunduz
Publikováno v:
IEEE Wireless Communications Letters. 12:510-514
Recent progress in deep learning (DL)-based joint source-channel coding (DeepJSCC) has led to a new paradigm of semantic communications. Two salient features of DeepJSCC-based semantic communications are the exploitation of semantic-aware features di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d797507fd1ead66343257460d17bd25e
https://doi.org/10.1109/lwc.2022.3232946
https://doi.org/10.1109/lwc.2022.3232946
Autor:
Deniz Gunduz, Zhijin Qin, Inaki Estella Aguerri, Harpreet S. Dhillon, Zhaohui Yang, Aylin Yener, Kai Kit Wong, Chan-Byoung Chae
Publikováno v:
IEEE Journal on Selected Areas in Communications. 41:1-4
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::613b0d59772b8fda708be4ebf0ef92e5
https://doi.org/10.1109/jsac.2022.3221853
https://doi.org/10.1109/jsac.2022.3221853
Publikováno v:
IEEE Wireless Communications Letters. 11:1895-1899
This letter proposes a learning aided gradient descent (LAGD) algorithm to solve the weighted sum rate (WSR) maximization problem for multiple-input single-output (MISO) beamforming. The proposed LAGD algorithm directly optimizes the transmit precode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7011745e9f89b7a27ed5eee844ede971
https://doi.org/10.1109/lwc.2022.3186160
https://doi.org/10.1109/lwc.2022.3186160
Autor:
Mingzhe Chen, Deniz Gunduz, Kaibin Huang, Walid Saad, Mehdi Bennis, Aneta Vulgarakis Feljan, H. Vincent Poor
Publikováno v:
IEEE Journal on Selected Areas in Communications. 40:445-448
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2af1de9af81c5b3bda691b9ff8d8046
https://doi.org/10.1109/jsac.2021.3118515
https://doi.org/10.1109/jsac.2021.3118515
Autor:
Sreejith Sreekumar, Deniz Gunduz
Publikováno v:
Entropy
Volume 25
Issue 2
Pages: 304
Volume 25
Issue 2
Pages: 304
A two-terminal distributed binary hypothesis testing problem over a noisy channel is studied. The two terminals, called the observer and the decision maker, each has access to $n$ independent and identically distributed samples, denoted by $\mathbf{U
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fb094a24508e80abae6d10884aa03e6
http://hdl.handle.net/10044/1/102919
http://hdl.handle.net/10044/1/102919
Autor:
Deniz Gunduz, Walid Saad, Kaibin Huang, Mingzhe Chen, Mehdi Bennis, Aneta Vulgarakis Feljan, H. Vincent Poor
Publikováno v:
IEEE Journal on Selected Areas in Communications. 39:3579-3605
The next-generation of wireless networks will enable many machine learning (ML) tools and applications to efficiently analyze various types of data collected by edge devices for inference, autonomy, and decision making purposes. However, due to resou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57a2b17c3f3fd930acb5ae774caf006e
https://doi.org/10.1109/jsac.2021.3118346
https://doi.org/10.1109/jsac.2021.3118346
Autor:
Geoffrey Y. Li, Walid Saad, Ayfer Ozgur, Peter Kairouz, Zhijin Qin, Jakob Hoydis, Zhu Han, Deniz Gunduz, Jaafar Elmirghani
Publikováno v:
IEEE Journal on Selected Areas in Communications. 40:2251-2253
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d285c6576f7249dedfb87f8e643aa57
https://doi.org/10.1109/jsac.2022.3181863
https://doi.org/10.1109/jsac.2022.3181863