Xiangwang Hou
Xidian University
42 Papers
17 Citations
Xiangwang Hou is an academic researcher from Xidian University. The author has contributed to research in topics: Computer science & Cloud computing. The author has an hindex of 8, co-authored 15 publications. Previous affiliations of Xiangwang Hou include Tsinghua University.
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Papers
Reliable Computation Offloading for Edge-Computing-Enabled Software-Defined IoV
TL;DR: Performance evaluation results validate that the proposed scheme is indeed capable of reducing the latency as well as improving the reliability of the EC-SDIoV.
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Stochastic Optimization Aided Energy-Efficient Information Collection in Internet of Underwater Things Networks
TL;DR: A heterogeneous AUV-aided information collection system with the aim of maximizing the energy efficiency of IoUT nodes taking into account AUV trajectory, resource allocation, and the Age of Information (AoI) is proposed.
138
Distributed Q-Learning Aided Heterogeneous Network Association for Energy-Efficient IIoT
TL;DR: A distributed $Q-learning aided power allocation algorithm for two-layer heterogeneous IIoT networks is proposed and the spirit of designing reward functions is discussed, followed by four delicately defined reward functions considering both the QoS of femtocell IoT user equipments and macrocell IoT users and their fairness.
137
Joint Resource Allocation and UAV Trajectory Optimization for Space–Air–Ground Internet of Remote Things Networks
TL;DR: This article proposes a SAG–IoRT framework, where drones act as relays to upload the data from smart devices to low earth orbit satellites, and alternately iterate smart device connection scheduling, power control, and UAV trajectory design to obtain the maximum system capacity.
89
Edge Intelligence for Mission-Critical 6G Services in Space-Air-Ground Integrated Networks
TL;DR: This article aims for conceiving ultrareliable and low-latency edge intelligence for supporting mission-critical services by harnessing the diversified communication, computing, and caching resources at the network edge of SAGIN.
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