Visible to the public Biblio

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Huang, Haixing, Song, Jinghe, Lin, Xuelian, Ma, Shuai, Huai, Jinpeng.  2016.  TGraph: A Temporal Graph Data Management System. Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. :2469–2472.

Temporal graphs are a class of graphs whose nodes and edges, together with the associated properties, continuously change over time. Recently, systems have been developed to support snapshot queries over temporal graphs. However, these systems barely support aggregate time range queries. Moreover, these systems cannot guarantee ACID transactions, an important feature for data management systems as long as concurrent processing is involved. To solve these issues, we design and develop TGraph, a temporal graph data management system, that assures the ACID transaction feature, and supports fast temporal graph queries.

Liu, Xiaodong, Chen, Zezong, Wang, Yuhao, Zhou, Fuhui, Ma, Shuai, Hu, Rose Qingyang.  2020.  Secure Beamforming Designs in MISO Visible Light Communication Networks with SLIPT. GLOBECOM 2020 - 2020 IEEE Global Communications Conference. :1–6.
Visible light communication (VLC) is a promising technique in the fifth and beyond wireless communication networks. In this paper, a secure multiple-input single-output VLC network is studied, where simultaneous lightwave information and power transfer (SLIPT) is exploited to support energy-limited devices taking into account a practical non-linear energy harvesting model. Specifically, the optimal beamforming design problems for minimizing transmit power and maximizing the minimum secrecy rate are studied under the imperfect channel state information (CSI). S-Procedure and a bisection search is applied to tackle challenging non-convex problems and to obtain efficient resource allocation algorithm. It is proved that optimal beamforming schemes can be obtained. It is found that there is a non-trivial trade-off between the average harvested power and the minimum secrecy rate. Moreover, we show that the quality of CSI has a significant impact on achievable performance.