185 citations · 586 across the 15 of their papers we have counts for
15 papers
Dynamic UAV Swarm Collaboration for Multi-Targets Tracking under Malicious Jamming: Joint Power, Path and Target Association Optimization
Lanhua Xiang, Fengyu Wang, Wenjun Xu +3
In this paper, the multi-target tracking (MTT) with an unmanned aerial vehicle (UAV) swarm is investigated in the presence of jammers, where UAVs in the swarm communicate with each…
Caching Placement and Resource Allocation for Cache-Enabling UAV NOMA Networks
Tiankui Zhang, Ziduan Wang, Yuanwei Liu +2
This article investigates the cache-enabling unmanned aerial vehicle (UAV) cellular networks with massive access capability supported by non-orthogonal multiple access (NOMA). The…
Cache-enabling UAV Communications: Network Deployment and Resource Allocation
Tiankui Zhang, Yi Wang, Yuanwei Liu +2
In this article, we investigate the content distribution in the hotspot area, whose traffic is offloaded by the combination of the unmanned aerial vehicle (UAV) communication and e…
High-Resolution Channel Estimation for Intelligent Reflecting Surface-Assisted MmWave Communications
C. Jia, J. Cheng, H. Gao +1
In this paper, we study the high-resolution channel estimation problem for intelligent reflecting surface (IRS)-assisted millimeter wave (mmWave) multiple-input-multiple-output (MI…
Single-Layer Graph Convolutional Networks For Recommendation
Yue Xu, Hao Chen, Zengde Deng +5
Graph Convolutional Networks (GCNs) and their variants have received significant attention and achieved start-of-the-art performances on various recommendation tasks. However, many…
Codebook-Based Beam Tracking for Conformal ArrayEnabled UAV MmWave Networks
Jinglin Zhang, Wenjun Xu, Hui Gao +3
Millimeter wave (mmWave) communications can potentially meet the high data-rate requirements of unmanned aerial vehicle (UAV) networks. However, as the prerequisite of mmWave commu…
OTFS Based Receiver Scheme With Multi-Antennas in High-Mobility V2X Systems
Junqiang Cheng, Chenglu Jia, Hui Gao +2
Vehicle-to-everything (V2X) is considered as one of the most important applications of future wireless communication networks. However, the Doppler effect caused by the vehicle mob…
Scalable Learning Paradigms for Data-Driven Wireless Communication
Yue Xu, Feng Yin, Wenjun Xu +3
The marriage of wireless big data and machine learning techniques revolutionizes the wireless system by the data-driven philosophy. However, the ever exploding data volume and mode…
Low-Complexity Linear Equalization for OTFS Systems with Rectangular Waveforms
Wenjun Xu, Tingting Zou, Hui Gao +3
Orthogonal time frequency space (OTFS) is a promising technology for high-mobility wireless communications. However, the equalization realization in practical OTFS systems is a gre…
D2D-Enabled Mobile User Edge Caching: A Multi-Winner Auction Approach
Tiankui Zhang, Xinyuan Fang, Yuanwei Liu +2
In device-to-device (D2D)-enabled caching cellular networks, the user terminals (UTs) collaboratively store and share a large volume of popular contents from the base station (BS)…
Low-Complexity Linear Equalizers for OTFS Exploiting Two-Dimensional Fast Fourier Transform
Junqiang Cheng, Hui Gao, Wenjun Xu +2
Orthogonal time frequency space (OTFS) modulation can effectively convert a doubly dispersive channel into an almost non-fading channel in the delay-Doppler domain. However, one cr…
Voting-Based Multi-Agent Reinforcement Learning for Intelligent IoT
Yue Xu, Zengde Deng, Mengdi Wang +3
The recent success of single-agent reinforcement learning (RL) in Internet of things (IoT) systems motivates the study of multi-agent reinforcement learning (MARL), which is more c…
Load Balancing for Ultra-Dense Networks: A Deep Reinforcement Learning Based Approach
Yue Xu, Wenjun Xu, Zhi Wang +2
In this paper, we propose a deep reinforcement learning (DRL) based mobility load balancing (MLB) algorithm along with a two-layer architecture to solve the large-scale load balanc…
Wireless Traffic Prediction with Scalable Gaussian Process: Framework, Algorithms, and Verification
Yue Xu, Feng Yin, Wenjun Xu +2
The cloud radio access network (C-RAN) is a promising paradigm to meet the stringent requirements of the fifth generation (5G) wireless systems. Meanwhile, wireless traffic predict…
Multi-Antenna Channel Interpolation via Tucker Decomposed Extreme Learning Machine
Han Zhang, Bo Ai, Wenjun Xu +2
Channel interpolation is an essential technique for providing high-accuracy estimation of the channel state information (CSI) for wireless systems design where the frequency-space…