413 citations · 796 across the 40 of their papers we have counts for
40 papers
JSSAnet: Theory-Guided Subchannel Partitioning and Joint Spatial Attention for Near-Field Channel Estimation
Zhiming Zhu, Shu Xu, Chunguo Li +2
The deployment of extremely large-scale antenna array (ELAA) in sixth-generation (6G) communication systems introduces unique challenges for efficient near-field channel estimation…
A Multi-Scale Spatial Attention Network for Near-field MIMO Channel Estimation
Zhiming Zhu, Shu Xu, Jiexin Zhang +3
The deployment of extremely large-scale array (ELAA) brings higher spectral efficiency and spatial degree of freedom, but triggers issues on near-field channel estimation. Existing…
Efficient Beam Selection for ISAC in Cell-Free Massive MIMO via Digital Twin-Assisted Deep Reinforcement Learning
Jiexin Zhang, Shu Xu, Chunguo Li +2
Beamforming enhances signal strength and quality by focusing energy in specific directions. This capability is particularly crucial in cell-free integrated sensing and communicatio…
Element-Grouping Strategy for Intelligent Reflecting Surface: Performance Analysis and Algorithm Optimization
Shengsheng Zhang, Taotao Ji, Meng Hua +2
As a revolutionary paradigm for intelligently controlling wireless channels, intelligent reflecting surface (IRS) has emerged as a promising technology for future sixth-generation…
Joint Active and Passive Beamforming for IRS-Aided Wireless Energy Transfer Network Exploiting One-Bit Feedback
Taotao Ji, Meng Hua, Chunguo Li +2
To reap the active and passive beamforming gain in an intelligent reflecting surface (IRS)-aided wireless network, a typical way is to first acquire the channel state information (…
Intelligent Reflecting Surface Aided Target Localization With Unknown Transceiver-IRS Channel State Information
Taotao Ji, Meng Hua, Xuanhong Yan +3
Integrating wireless sensing capabilities into base stations (BSs) has become a widespread trend in the future beyond fifth-generation (B5G)/sixth-generation (6G) wireless networks…
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…
Interleaved Training for Massive MIMO Downlink via Exploring Spatial Correlation
Cheng Zhang, Chang Liu, Yindi Jing +2
Interleaved training has been studied for single-user and multi-user massive MIMO downlink with either fully-digital or hybrid beamforming. However, the impact of channel correlati…
Joint Port Selection Based Channel Acquisition for FDD Cell-Free Massive MIMO
Cheng Zhang, Pengguang Du, Minjie Ding +2
In frequency division duplexing (FDD) cell-free massive MIMO, the acquisition of the channel state information (CSI) is very challenging because of the large overhead required for…
Learning-Aided Beam Prediction in mmWave MU-MIMO Systems for High-Speed Railway
Fan Meng, Shengheng Liu, Yongming Huang +1
The problem of beam alignment and tracking in high mobility scenarios such as high-speed railway (HSR) becomes extremely challenging, since large overhead cost and significant time…
Energy Efficient Beamforming Optimization for Integrated Sensing and Communication
Zhenyao He, Wei Xu, Hong Shen +2
This paper investigates the optimization of beamforming design in a system with integrated sensing and communication (ISAC), where the base station (BS) sends signals for simultane…
Cross-Layer Optimization: Joint User Scheduling and Beamforming Design With QoS Support in Joint Transmission Networks
Shiwen He, Zhenyu An, Jianyue Zhu +3
User scheduling and beamforming design are two crucial yet coupled topics for wireless communication systems. They are usually optimized separately with conventional optimization m…
An Unsupervised Deep Unrolling Framework for Constrained Optimization Problems in Wireless Networks
Shiwen He, Shaowen Xiong, Zhenyu An +3
In wireless network, the optimization problems generally have complex constraints, and are usually solved via utilizing the traditional optimization methods that have high computat…
Spatiotemporal 2-D Channel Coding for Very Low Latency Reliable MIMO Transmission
Xiaohu You, Chuan Zhang, Bin Sheng +5
To fully support vertical industries, 5G and its corresponding channel coding are expected to meet requirements of different applications. However, for applications of 5G and beyon…
Maximizing the Set Cardinality of Users Scheduled for Ultra-dense uRLLC Networks
Shiwen He, Jun Yuan, Zhenyu An +2
Ultra-reliability and low latency communication has long been an important but challenging task in the fifth and sixth generation wireless communication systems. Scheduling as many…
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…
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,…
Cloud-Edge Coordinated Processing: Low-Latency Multicasting Transmission
Shiwen He, Ju Ren, Jiaheng Wang +5
Recently, edge caching and multicasting arise as two promising technologies to support high-data-rate and low-latency delivery in wireless communication networks. In this paper, we…
Hybrid Precoder Design for Cache-enabled Millimeter Wave Radio Access Networks
Shiwen He, Yongpeng Wu, Ju Ren +3
In this paper, we study the design of a hybrid precoder, consisting of an analog and a digital precoder, for the delivery phase of downlink cache-enabled millimeter wave (mmWave) r…
Two-level Transmission Scheme for Cache-enabled Fog Radio Access Networks
Shiwen He, Chenhao Qi, Yongming Huang +2
In this paper, we investigate the downlink transmission for cache-enabled fog radio access networks aiming at maximizing the delivery rate under the constraints of fronthaul capaci…
An Attention-Based Approach for Single Image Super Resolution
Yuan Liu, Yuancheng Wang, Nan Li +4
The main challenge of single image super resolution (SISR) is the recovery of high frequency details such as tiny textures. However, most of the state-of-the-art methods lack speci…
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…