S
Sihua Shao
Researcher at New Jersey Institute of Technology
Publications - 41
Citations - 1184
Sihua Shao is an academic researcher from New Jersey Institute of Technology. The author has contributed to research in topics: Computer science & Visible light communication. The author has an hindex of 13, co-authored 27 publications receiving 915 citations. Previous affiliations of Sihua Shao include New Mexico Institute of Mining and Technology & Hong Kong Polytechnic University.
Papers
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Journal ArticleDOI
Coexistence of WiFi and LiFi toward 5G: concepts, opportunities, and challenges
Moussa Ayyash,Hany Elgala,Abdallah Khreishah,Volker Jungnickel,Thomas D. C. Little,Sihua Shao,Michael Rahaim,Dominic Schulz,Jonas Hilt,Ronald Freund +9 more
TL;DR: The general characteristics of WiFi and VLC (or LiFi) are described and a practical framework for both technologies to coexist is demonstrated, to explore the existing research activity in this area and articulate current and future research challenges.
Journal ArticleDOI
Design and analysis of a visible-light-communication enhanced WiFi system
Sihua Shao,Abdallah Khreishah,Moussa Ayyash,Michael Rahaim,Hany Elgala,Volker Jungnickel,Dominic Schulz,Thomas D. C. Little,Jonas Hilt,Ronald Freund +9 more
TL;DR: The hybrid WiFi-VLC system is proposed, which outperforms the conventional WiFi for crowded environments in terms of throughput and Web page loading time, and the further improved performance of the aggregated system when considering the blocking duration and the distance between the access point and the user device is demonstrated.
Proceedings ArticleDOI
An Indoor Hybrid WiFi-VLC Internet Access System
Sihua Shao,Abdallah Khreishah,Michael Rahaim,Hany Elgala,Moussa Ayyash,Thomas D. C. Little,Jie Wu +6 more
TL;DR: This paper proposes and implements a hybrid solution in which the uplink challenge is resolved by the use of an asymmetric RF-VLC combination, and the integrated system outperforms conventional WiFi for crowded (congested) multiuser environments in term of throughput.
Journal ArticleDOI
Indoor Localization Using Visible Light Via Fusion of Multiple Classifiers
TL;DR: Two robust fusion localization algorithms, namely, grid-independent least square and grid-dependent least square (GD-LS) are proposed to combine the outputs of these classifiers and a singular value decomposition (SVD)-based LS (LS-SVD) method is proposed to mitigate the numerical stability problem when the prediction matrix is singular.
Journal ArticleDOI
Pixelated VLC-Backscattering for Self-Charging Indoor IoT Devices
TL;DR: In this paper, a pixelated VLC backscatter is proposed and implemented to overcome the channel capacity limitation, which enables the usage of advanced modulation schemes such as ON-OFF keying (OOK).