61 citations
- ZTE (China)CN5 papers
- Southeast UniversityCN3 papers
- Auburn UniversityUS1 paper
- Beijing Jiaotong UniversityCN1 paper
- China Mobile (China)CN1 paper
- National Sun Yat-sen UniversityTW1 paper
- Purple Mountain LaboratoriesCN1 paper
- Shenzhen Institute of Information TechnologyCN1 paper
- Tsinghua UniversityCN1 paper
- University of HoustonUS1 paper
- Zhengzhou UniversityCN1 paper
5 papers
Joint Localization and Environment Sensing by Harnessing NLOS Components in RIS-aided mmWave Communication Systems
Yixuan Huang, Jie Yang, Wankai Tang +3
This study explores the use of non-line-of-sight (NLOS) components in millimeter-wave (mmWave) communication systems for joint localization and environment sensing. The radar cross…
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…
Coalition Game based User Association for mmWave Mobile Relay Systems in Rail Traffic Scenarios
Chen Chen, Yong Niu, Shiwen Mao +6
Rail transportation, especially, high-speed rails (HSR), is an important infrastructure for the development of national economy and the promotion of passenger experience. Due to th…
Hybrid Beamforming for mmWave MU-MISO Systems Exploiting Multi-agent Deep Reinforcement Learning
Qisheng Wang, Xiao Li, Shi Jin +1
In this letter, we investigate the hybrid beamforming based on deep reinforcement learning (DRL) for millimeter Wave (mmWave) multi-user (MU) multiple-input-single-output (MISO) sy…
PDRS: A Fast Non-iterative Scheme for Massive Grant-free Access in Massive MIMO
Yihua Ma, Zhifeng Yuan, Weimin Li +1
Grant-free multiple-input multiple-output (MIMO) usually employs non-orthogonal pilots for joint user detection and channel estimation. However, existing methods are too complex fo…