Xuemin Shen
University of Waterloo
1363 Papers
10.1K Citations
Xuemin Shen is an academic researcher from University of Waterloo. The author has contributed to research in topics: Computer science & Wireless network. The author has an hindex of 106, co-authored 1221 publications. Previous affiliations of Xuemin Shen include Northeastern University (China) & University of Alberta.
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Papers
Throughput evaluation for cooperative drive-thru Internet using microscopic mobility model
Haibo Zhou,Bo Liu,Tom H. Luan,Fen Hou,Lin Gui,Ying Li,Xuemin Shen +6 more
- 01 Jan 2013
TL;DR: A practical microscopic vehicular mobility model is introduced, which takes the randomness of speed update and safety distance requirement into account, and the number of contending vehicles within the coverage range of access point (AP) in the single-lane highways scenario is analyzed.
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Network Performance Analysis of Satellite-Terrestrial Vehicular Network
Hua Ming Wu,Xuemin Shen,Weihua Zhuang,Ngoc-Dũng Ðào,Weisen Shi +4 more
TL;DR: This article investigates satellite-terrestrial vehicular network (STVN) supporting connected autonomous vehicle (CAV) applications anytime and anywhere and demonstrates the improvement of CAV network performance thanks to LEO satellites in the STVN.
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An adaptive handoff priority scheme for wireless MC-CDMA cellular networks supporting multimedia applications
Jinfang Zhang,Jon W. Mark,Xuemin Shen +2 more
- 29 Nov 2004
TL;DR: An admission region is derived for call admission control and handoff management with quality of service (QoS) satisfaction for all multimedia traffic, where the QoS parameters include the wireless transmission bit error rate (BER), packet loss rate (PLR) and delay requirement.
IRS Assisted High-Speed Train Communications: Performance Analysis and Optimal Configuration
TL;DR: In this article , the authors investigated an HST communication network empowered by intelligent reflecting surfaces (IRS) with the multiple-input multiple-output (MIMO) technology and developed an alternating optimization algorithm to minimize the outage probability by capitalizing on the generalized eigenvalue eigenvectors.
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Data Poisoning Attacks and Defenses to LDP-based Privacy-Preserving Crowdsensing
Zhirun Zheng,Zhetao Li,Cheng Huang,Sai Qin Long,Mushu Li,Xuemin Shen +5 more
TL;DR: This paper explores data poisoning attacks and defenses in local differential privacy (LDP)-based crowdsensing systems, constructing attacks that exploit LDP noise and proposing countermeasures using differential evolution to identify and remove corrupted workers.
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