A5027619341- Advanced MIMO Systems Optimization
- Millimeter-Wave Propagation and Modeling
- Wireless Communication Networks Research
- Advanced Wireless Communication Techniques
- Microwave Engineering and Waveguides
- Power Line Communications and Noise
- Wireless Signal Modulation Classification
- Antenna Design and Analysis
Inner Mongolia University
2025
Beijing University of Posts and Telecommunications
2023
The trend of using larger scale antenna arrays will continue toward 6G systems, where the number antennas be further scaled up to improve spectral efficiency. However, increase in bring new challenges physical layer, such as frequent feedback high-speed mobile communications, multiband coexistence overhead from sub-6 (gigahertz) GHz terahertz (THz), and energy consumption due increased components circuits. In this article, we introduce artificial intelligence (AI)-based channel extrapolation...
Channel state information (CSI) is crucial for massive multi-input multi-output (MIMO) system. As the antenna scale increases, acquiring CSI results in significantly higher system overhead. In this letter, we propose a novel channel prediction method which utilizes wireless environment with pilot pattern optimization (WEI-CP). Specifically, distribution of scatterers around mobile station (MS) affecting CSI, represents information, acquired using multi-view images. Then, to dig out mapping...
To reduce the downlink beam sweep overhead of mmWave systems, we propose a deep reinforcement learning based dynamic selection (DRL-DBS) method. A new motivation is presented by analyzing change laws high- and low-frequency channels in spatial domain: to learn index offset between optimal sub-6 GHz spectrum. In DRL-DBS method, novel action space where actions can dynamically adjust size subset according high-and channel propagation laws. Hence, method predict with size, beamforming from...
In view of the propagation environment directly determining channel properties, applications can also be solved with aid environmental information. Inspired by task-oriented semantic communication and machine learning (ML) powered environment-channel mapping methods, we aim to provide a new from level. This letter defines semantics (PES) as limited set symbols (PESS). The PESS is extracted, which oriented application tasks concerned properties foundation. For method validation, PES-aided...