Xijuan Guo
Yanshan University
34 Papers
167 Citations
Xijuan Guo is an academic researcher from Yanshan University. The author has contributed to research in topics: Computer science & Resource allocation. The author has an hindex of 10, co-authored 30 publications.
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Papers
Machine Learning-Based Resource Allocation for Multi-UAV Communications System
Zheng Chang,Wenlong Guo,Xijuan Guo,Tapani Ristaniemi +3 more
- 07 Jun 2020
TL;DR: The machine learning-based strategic resource allocation algorithm comprising of reinforcement learning and deep learning is presented to design the optimal policy of all the UAVs to maximize the system utility over all served ground users.
16
Kernel-Based Robust Bias-Correction Fuzzy Weighted C-Ordered-Means Clustering Algorithm
TL;DR: A Kernel-based clustering method that includes a class of robust non-Euclidean distance measures is proposed in this paper, and the experimental results show that the KBFWCM algorithm has a stronger denoising and robust effect on noise image.
14
Energy Efficient Resource Allocation for Wireless Powered UAV Wireless Communication System With Short Packet
TL;DR: In this paper , the authors investigated the resource allocation problem in a wireless powered UAV communication system, where the UAV acts as hybrid access point (HAP), which can first perform wireless power transfer in the downlink and charge the Internet of Thing (IoT) user devices (UDs).
11
Energy Efficient Resource Allocation for Wireless Power Transfer Enabled Massive MIMO System
Zheng Chang,Zhongyu Wang,Xijuan Guo,Zhu Han,Tapani Ristaniemi +4 more
- 01 Dec 2016
TL;DR: The proposed antenna selection scheme is to select the optimal number of antennas and then employ the energy beamforming, and the nonlinear fractional programming based scheme is utilized to address optimization of energy efficiency and the optimal power and time allocation.
11
Energy Efficient Optimization for Solar-Powered UAV Communications System
Song Xu,Zheng Chang,Xijuan Guo,Peiliang Wu,Timo Hämäläinen +4 more
- 01 Jun 2021
TL;DR: In this paper, the authors explore the energy efficiency optimization for a solar-powered unmanned aerial vehicle (UAV) communications system and propose to dynamically adjust the UAV trajectory and gesture, by optimizing its velocity, acceleration, heading angle and ground user transmission power.
10