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Shuguang Cui
Researcher at The Chinese University of Hong Kong
Publications - 498
Citations - 22325
Shuguang Cui is an academic researcher from The Chinese University of Hong Kong. The author has contributed to research in topics: Computer science & Cognitive radio. The author has an hindex of 60, co-authored 426 publications receiving 18255 citations. Previous affiliations of Shuguang Cui include Technological University of Panama & University of California, Davis.
Papers
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Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks
TL;DR: This work considers radio applications in sensor networks, where the nodes operate on batteries so that energy consumption must be minimized, while satisfying given throughput and delay requirements, and analyses the best modulation and transmission strategy to minimize the total energy consumption.
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Energy-constrained modulation optimization
TL;DR: It is shown that up to 80% energy savings is achievable over nonoptimized systems and that the benefit of coding varies with the transmission distance and the underlying modulation schemes.
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Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks
TL;DR: This paper proposes an optimal linear cooperation framework for spectrum sensing in order to accurately detect the weak primary signal and proposes a heuristic approach, where a modified deflection coefficient that characterizes the probability distribution function of the global test statistics at the fusion center is proposed.
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Joint Offloading and Computing Optimization in Wireless Powered Mobile-Edge Computing Systems
TL;DR: In this paper, the authors proposed a unified MEC-WPT design by considering a wireless powered multiuser MEC system, where a multiantenna access point (AP) integrated with an MEC server broadcasts wireless power to charge multiple users and each user node relies on the harvested energy to execute computation tasks.
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Optimal Multiband Joint Detection for Spectrum Sensing in Cognitive Radio Networks
TL;DR: Simulation results show that the proposed spectrum sensing schemes can considerably improve system performance, and useful principles for the design of distributed wideband spectrum sensing algorithms in cognitive radio networks are established.