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Yong Xiao
Researcher at Huazhong University of Science and Technology
Publications - 115
Citations - 2680
Yong Xiao is an academic researcher from Huazhong University of Science and Technology. The author has contributed to research in topics: Cellular network & Cognitive radio. The author has an hindex of 22, co-authored 110 publications receiving 1773 citations. Previous affiliations of Yong Xiao include Massachusetts Institute of Technology & Nanyang Technological University.
Papers
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Journal ArticleDOI
Computing Resource Allocation in Three-Tier IoT Fog Networks: A Joint Optimization Approach Combining Stackelberg Game and Matching
TL;DR: In this paper, the authors proposed a joint optimization framework for all the nodes, DSOs, and DSSs to achieve the optimal resource allocation schemes in a distributed fashion, where a Stackelberg game was formulated to analyze the pricing problem for the DSO and the resource allocation problem for DSS.
Proceedings ArticleDOI
QoE and power efficiency tradeoff for fog computing networks with fog node cooperation
Yong Xiao,Marwan Krunz +1 more
TL;DR: A distributed optimization algorithm based on distributed alternating direction method of multipliers (ADMM) via variable splitting is proposed to achieve the optimal workload allocation solution that maximizes users' QoE under the given power efficiency.
Journal ArticleDOI
Ambient Backscatter Assisted Wireless Powered Communications
TL;DR: A novel hybrid transmitter design is proposed by combining the advantages of both ambient backscatter and wireless powered communications by introducing a multiple access scheme to coordinate hybrid data transmissions in the cognitive radio environment.
Journal ArticleDOI
From Semantic Communication to Semantic-Aware Networking: Model, Architecture, and Open Problems
TL;DR: In this paper, the authors propose a federated edge intelligence based architecture for supporting resource-efficient semantic-aware networking, where each user can offload computationally intensive semantic encoding and decoding tasks to edge servers and protect its proprietary model-related information by coordinating via intermediate results.
Journal ArticleDOI
Distributed Optimization for Energy-Efficient Fog Computing in the Tactile Internet
Yong Xiao,Marwan Krunz +1 more
TL;DR: In this article, the authors proposed a cooperative fog computing concept, referred to as offload forwarding, in which a set of fog nodes with different computing and energy resources can cooperate with each other to balance the workload processed by different fog nodes, further reduce the service response time and improve the efficiency of power usage.