Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Shaochuan Wu"'
Autor:
Oluwaseun Ologun, Shaochuan Wu, Raza Ali Shah, Sohaib Bin Altaf Khattak, Moustafa M. Nasralla
Publikováno v:
Sensors, Vol 23, Iss 1, p 217 (2022)
Orthogonal frequency division multiplexing (OFDM) is an efficient multicarrier scheme that uses different types of guard intervals such as cyclic prefix (CP) and known symbol padding (KSP) (zero padding (ZP), unique word (UW), etc.) in block formatio
Externí odkaz:
https://doaj.org/article/6c9024f57c004ca9829185130623f429
Publikováno v:
IEEE Access, Vol 7, Pp 173450-173462 (2019)
Energy scavenging is a promising technique for micro-devices such as wireless sensor networks (WSNs). Radio frequency (RF) is considered a sustainable source that can be utilized and harvested due to its important features. The essential goal of this
Externí odkaz:
https://doaj.org/article/cabc5c596feb49bba86302ccd10b8d19
Publikováno v:
International Journal of Antennas and Propagation, Vol 2016 (2016)
Due to the fluctuation of the signal-to-noise ratio (SNR) and the single snapshot case in the MIMO HF sky-wave radar system, the accuracy of the online estimation of the mutual coupling coefficients matrix of the uniform rectangle array (URA) might b
Externí odkaz:
https://doaj.org/article/cd7a3dfef6c74094a99bf31a3b0bd42f
Autor:
Shaochuan, Wu, Rabbat, Michael G.
We study a general framework for broadcast gossip algorithms which use companion variables to solve the average consensus problem. Each node maintains an initial state and a companion variable. Iterative updates are performed asynchronously whereby o
Externí odkaz:
http://arxiv.org/abs/1208.4895
Publikováno v:
China Communications. 19:118-128
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26695ddf247a2622fc04aa7293693863
https://doi.org/10.23919/jcc.2022.00.020
https://doi.org/10.23919/jcc.2022.00.020
Publikováno v:
IEEE Systems Journal. 16:3410-3421
Cell-free massive multiple-input--multiple-output (MIMO) (CF-mMIMO) is a distributed massive MIMO network architecture, which leads to a better ability to resist shadow fading than centralized massive MIMO. When network slicing is applied to CF-mMIMO
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20f11348b585ad6a689a6d15ded5f5c6
https://doi.org/10.1109/jsyst.2021.3072419
https://doi.org/10.1109/jsyst.2021.3072419
Publikováno v:
IEEE Transactions on Vehicular Technology. 71:1549-1561
Considering the computational complexity and fronthaul capacity requirements of network-wide centralized optimization for Cell-free (CF) massive multiple input multiple output (MIMO) networks, we focus on user-centric (UC) networks wherein each user
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::864389cf6ab1858a76945782f2db7098
https://doi.org/10.1109/tvt.2021.3131465
https://doi.org/10.1109/tvt.2021.3131465
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1f11d56e98689c0173faf395994c0f2
https://doi.org/10.1109/tgrs.2022.3220704
https://doi.org/10.1109/tgrs.2022.3220704
Publikováno v:
2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f960f8ca4262e4e8a16836e1a8ef46e
https://doi.org/10.1109/pimrc54779.2022.9977597
https://doi.org/10.1109/pimrc54779.2022.9977597
Publikováno v:
Zhou, X, Deng, Y, Xia, H, Wu, S & Bennis, M 2022, ' Time-triggered Federated Learning over Wireless Networks ', IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, pp. 1 . https://doi.org/10.1109/TWC.2022.3189601
The newly emerging federated learning (FL) framework offers a new way to train machine learning models in a privacy-preserving manner. However, traditional FL algorithms are based on an event-triggered aggregation, which suffers from stragglers and c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68fbbb696a8f77ad6681ebabc853cd7c
https://kclpure.kcl.ac.uk/en/publications/35c99739-72db-4d95-8a02-4c72c2a2bf23
https://kclpure.kcl.ac.uk/en/publications/35c99739-72db-4d95-8a02-4c72c2a2bf23