A5088107531- Optical Wireless Communication Technologies
- Advanced Wireless Communication Technologies
- Advanced MIMO Systems Optimization
- Wireless Communication Security Techniques
- Molecular Communication and Nanonetworks
- Wireless Communication Networks Research
- Telecommunications and Broadcasting Technologies
- Advanced Image Processing Techniques
- Radar Systems and Signal Processing
- Error Correcting Code Techniques
- Video Surveillance and Tracking Methods
- Image and Signal Denoising Methods
- Infrared Target Detection Methodologies
- Advanced Wireless Communication Techniques
- Indoor and Outdoor Localization Technologies
- Image Enhancement Techniques
- Industrial Vision Systems and Defect Detection
- Wireless Body Area Networks
- Advanced Neural Network Applications
- Electrical Fault Detection and Protection
- Antenna Design and Optimization
Southeast University
2023-2024
China Southern Power Grid (China)
2024
We study the resource allocation optimization in an intelligent reflecting surface (IRS)-assisted uplink ultra reliable and low-latency communication (URLLC) system. The transmit power of users, receive beamformer at base station (BS) IRS reflection phase shifts are jointly optimized to maximize achievable sum finite blocklength (FBL) rate, which turns out be a complicated non-convex problem. To tackle this problem, we develop low-complexity minorization-maximization (MM)-based algorithm,...
We study the resource allocation for an uplink ultra reliable and low-latency communication (URLLC) system. The receive beamformer at base station (BS) transmit power of users are jointly optimized to minimize finite block-length (FBL) decoding error probability. To solve difficult nonconvex problem, we first acquire a tractable reformulation by approximating Gaussian Q-function. Although resultant problem is still nonconvex, propose efficient algorithm where optimal obtained in closed form...
A novel neural network framework ACFNet is proposed for intelligent reflecting surface (IRS)-assisted downlink multiuser communications. Aiming at maximizing the effective achievable sum rate that takes into account feedback overhead between base station (BS) and IRS, performs adaptive IRS phase shift compression in addition to BS/IRS beamforming optimization. To further improve performance, we also propose an improved version ACFNet+ which jointly trains reflection patterns based on ACFNet....