598 citations · 682 across the 11 of their papers we have counts for
11 papers
Smartphone-Based Identification of Unknown Liquids via Active Vibration Sensing
Yongzhi Huang
Traditional liquid identification instruments are often unavailable to the general public. This paper shows the feasibility of identifying unknown liquids with commercial lightweig…
Multi-Agent Graph Reinforcement Learning based On-Demand Wireless Energy Transfer in Multi-UAV-aided IoT Network
Ze Yu Zhao, Yueling Che, Sheng Luo +2
This paper proposes a new on-demand wireless energy transfer (WET) scheme of multiple unmanned aerial vehicles (UAVs). Unlike the existing studies that simply pursuing the total or…
Task-Oriented Integrated Sensing, Computation and Communication for Wireless Edge AI
Hong Xing, Guangxu Zhu, Dongzhu Liu +3
With the advent of emerging IoT applications such as autonomous driving, digital-twin and metaverse etc. featuring massive data sensing, analyzing and inference as well critical la…
Energy-Efficient UAV Multicasting with Simultaneous FSO Backhaul and Power Transfer
Yue Ling Che, Weibin Long, Sheng Luo +2
This letter studies an unmanned aerial vehicle (UAV) aided multicasting (MC) system, which is enabled by simultaneous free space optics (FSO) backhaul and power transfer. The UAV a…
Artificial Intelligence-Enabled Intelligent 6G Networks
Helin Yang, Arokiaswami Alphones, Zehui Xiong +3
With the rapid development of smart terminals and infrastructures, as well as diversified applications (e.g., virtual and augmented reality, remote surgery and holographic projecti…
Faster and Safer Training by Embedding High-Level Knowledge into Deep Reinforcement Learning
Haodi Zhang, Zihang Gao, Yi Zhou +3
Deep reinforcement learning has been successfully used in many dynamic decision making domains, especially those with very large state spaces. However, it is also well-known that d…
Generative Neural Network based Spectrum Sharing using Linear Sum Assignment Problems
Ahmed B. Zaky, Joshua Zhexue Huang, KaishunWu +1
Spectrum management and resource allocation (RA) problems are challenging and critical in a vast number of research areas such as wireless communications and computer networks. The…
Enhanced Energy-Efficient Downlink Resource Allocation in Green Non-Orthogonal Multiple Access Systems
Rukhsana Ruby, Shuxin Zhong, Derrick Wing Kwan Ng +2
Despite numerous advantages, non-orthogonal multiple access (NOMA) technique can bring additional interference for the neighboring ultra-dense networks if the power consumption of…
Detecting and Diagnosing Energy Issues for Mobile Applications
Xueliang Li, Yuming Yang, Yepang liu +2
Energy efficiency is an important criterion to judge the quality of mobile apps, but one third of our randomly sampled apps suffer from energy issues that can quickly drain battery…
Throughput Maximization for Laser-Powered UAV Wireless Communication Systems
Jie Ouyang, Yueling Che, Jie Xu +1
Laser power has become a viable solution to provide convenient and sustainable energy supply to unmanned aerial vehicles (UAVs). In this paper, we study a laser-powered UAV wireles…
Enhanced Uplink Resource Allocation in Non-Orthogonal Multiple Access Systems
Rukhsana Ruby, Shuxin Zhong, Hailiang Yang +1
Non-orthogonal multiple access (NOMA) is envisioned to be one of the most beneficial technologies for next generation wireless networks due to its enhanced performance compared to…