413 citations · 786 across the 29 of their papers we have counts for
29 papers
Computationally Efficient Unsupervised Deep Learning for Robust Joint AP Clustering and Beamforming Design in Cell-Free Systems
Guanghui Chen, Zheng Wang, Hongxin Lin +2
In this paper, we consider robust joint access point (AP) clustering and beamforming design with imperfect channel state information (CSI) in cell-free systems. Specifically, we jo…
Digital Twin-Enhanced Deep Reinforcement Learning for Resource Management in Networks Slicing
Zhengming Zhang, Yongming Huang, Cheng Zhang +3
Network slicing-based communication systems can dynamically and efficiently allocate resources for diversified services. However, due to the limitation of the network interface on…
Near-Field Channel Estimation for Extremely Large-Scale Array Communications: A model-based deep learning approach
Xiangyu Zhang, Zening Wang, Haiyang Zhang +1
Extremely large-scale massive MIMO (XL-MIMO) has been reviewed as a promising technology for future wireless communications. The deployment of XL-MIMO, especially at high-frequency…
Unsupervised Recurrent Federated Learning for Edge Popularity Prediction in Privacy-Preserving Mobile Edge Computing Networks
Chong Zheng, Shengheng Liu, Yongming Huang +2
Nowadays wireless communication is rapidly reshaping entire industry sectors. In particular, mobile edge computing (MEC) as an enabling technology for industrial Internet of things…
A Novel Wireless Communication Paradigm for Intelligent Reflecting Surface Based Symbiotic Radio Systems
Meng Hua, Qingqing Wu, Luxi Yang +2
This paper investigates a novel intelligent reflecting surface (IRS)-based symbiotic radio (SR) system architecture consisting of a transmitter, an IRS, and an information receiver…
Hybrid Policy Learning for Energy-Latency Tradeoff in MEC-Assisted VR Video Service
Chong Zheng, Shengheng Liu, Yongming Huang +1
Virtual reality (VR) is promising to fundamentally transform a broad spectrum of industry sectors and the way humans interact with virtual content. However, despite unprecedented p…
Joint User Association and Power Allocation in Heterogeneous Ultra Dense Network via Semi-Supervised Representation Learning
Xiangyu Zhang, Zhengming Zhang, Luxi Yang
Heterogeneous Ultra-Dense Network (HUDN) is one of the vital networking architectures due to its ability to enable higher connectivity density and ultra-high data rates. Rational u…
ConvTransformer: A Convolutional Transformer Network for Video Frame Synthesis
Zhouyong Liu, Shun Luo, Wubin Li +5
Deep Convolutional Neural Networks (CNNs) are powerful models that have achieved excellent performance on difficult computer vision tasks. Although CNNs perform well whenever large…
UAV-Assisted Intelligent Reflecting Surface Symbiotic Radio System
Meng Hua, Luxi Yang, Qingqing Wu +3
This paper investigates a symbiotic unmanned aerial vehicle (UAV)-assisted intelligent reflecting surface (IRS) radio system, where the UAV is leveraged to help the IRS reflect its…
Intelligent Reflecting Surface-Aided Joint Processing Coordinated Multipoint Transmission
Meng Hua, Qingqing Wu, Derrick Wing Kwan Ng +2
This paper investigates intelligent reflecting surface (IRS)-aided multicell wireless networks, where an IRS is deployed to assist the joint processing coordinated multipoint (JP-C…
3D UAV Trajectory and Communication Design for Simultaneous Uplink and Downlink Transmission
Meng Hua, Luxi Yang, Qingqing Wu +1
In this paper, we investigate the unmanned aerial vehicle (UAV)-aided simultaneous uplink and downlink transmission networks, where one UAV acting as a disseminator is connected to…
Throughput Maximization for Full-Duplex UAV Aided Small Cell Wireless Systems
Meng Hua, Luxi Yang, Cunhua Pan +1
This paper investigates full-duplex unmanned aerial vehicle (UAV) aided small cell wireless systems, where the UAV serving as the base station (BS) is designed to transmit data to…
Energy-Efficient Cooperative Secure Transmission in Multi-UAV Enabled Wireless Networks
Meng Hua, Yi Wang, Qingqing Wu +3
This paper investigates a multiple unmanned aerial vehicles (UAVs) enabled cooperative secure transmission scheme in the presence of multiple potential eavesdroppers. Specifically,…
Throughput Maximization for UAV-aided Backscatter Communication Networks
Meng Hua, Luxi Yang, Chunguo Li +2
This paper investigates unmanned aerial vehicle (UAV)-aided backscatter communication (BackCom) networks, where the UAV is leveraged to help the backscatter device (BD) forward sig…
Energy Optimization for Cellular-Connected Multi-UAV Mobile Edge Computing Systems with Multi-Access Schemes
Meng Hua, Yi Wang, Qingqing Wu +3
In this paper, a cellular-connected unmanned aerial vehicles (UAV) mobile edge computing system is studied in which the multiple UAVs are served by terrestrial base station (TBS) f…
Placement Delivery Array Design via Attention-Based Deep Neural Network
Zhengming Zhang, Meng Hua, Chunguo Li +2
A decentralized coded caching scheme has been proposed by Maddah-Ali and Niesen, and has been shown to alleviate the load of networks. Recently, placement delivery array (PDA) was…
Cache-Enabled Dynamic Rate Allocation via Deep Self-Transfer Reinforcement Learning
Zhengming Zhang, Yaru Zheng, Meng Hua +2
Caching and rate allocation are two promising approaches to support video streaming over wireless network. However, existing rate allocation designs do not fully exploit the advant…
Signal Processing for MIMO-NOMA: Present and Future Challenges
Yongming Huang, Cheng Zhang, Jiaheng Wang +3
Non-orthogonal multiple access (NOMA), as the newest member of the multiple access family, is envisioned to be an essential component of 5G mobile networks. The combination of NOMA…
Performance Analysis for Massive MIMO Downlink with Low Complexity Approximate Zero-Forcing Precoding
Cheng Zhang, Yindi Jing, Yongming Huang +1
Zero-forcing (ZF) precoding plays an important role for massive MIMO downlink due to its near optimal performance. However, the high computation cost of the involved matrix inversi…
Interleaved Training and Training-Based Transmission Design for Hybrid Massive Antenna Downlink
Cheng Zhang, Yindi Jing, Yongming Huang +1
In this paper, we study the beam-based training design jointly with the transmission design for hybrid massive antenna single-user (SU) and multiple-user (MU) systems where outage…
On Optimal Power Allocation for Downlink Non-Orthogonal Multiple Access Systems
Jianyue Zhu, Jiaheng Wang, Yongming Huang +3
Non-orthogonal multiple access (NOMA) enables power-domain multiplexing via successive interference cancellation (SIC) and has been viewed as a promising technology for 5G communic…
Energy Efficient Beamforming for Massive MIMO Public Channel
Cheng Zhang, Yongming Huang, Yindi Jing +1
For massive MIMO public channel with any sector size in either microwave or millimeter wave (mmwave) band, this paper studies the beamforming design to minimize the transmit power…
Performance Scaling Law for Multi-Cell Multi-User Massive MIMO
Cheng Zhang, Yindi Jing, Yongming Huang +1
This work provides a comprehensive scaling law based performance analysis for multi-cell multi-user massive multiple-input-multiple-output (MIMO) downlink systems. Imperfect channe…
Joint User Association and Interference Mitigation for D2D-Enabled Heterogeneous Cellular Networks
Tianqing Zhou, Yongming Huang, Luxi Yang
The heterogeneous cellular networks (HCNs) with device-to-device (D2D) communications have been a promising solution to cost-efficient delivery of high data rates. A key challenge…