arrow
G

Gan Zheng

university of warwick
H指数:61
被引数:1.4万
浏览量:0

个人简介

暂无内容

教育背景

暂无内容

工作经历

暂无内容

荣誉奖项

暂无内容

Region-Dependent Beamforming for Dual-Function Radar-Communication Systems in Low-Altitude Scenarios

低空场景下双功能雷达通信系统的区域依赖波束成形

2026-10-060
PRE
Partial Fluid Antenna System: Port Selection via Statistical Analysis

部分流体天线系统:基于统计分析的端口选择

2026-08-130
PRE
Accurate 4-D MIMO-OFDM ISAC Detection in V2X With Co-Channel Interference and Sensing Ghosts

V2X通信中存在共信道干扰和感知幽灵的4-D MIMO-OFDM ISAC精确检测

2026-07-090
PRE
A Fourier Graph Neural Network-Based Joint Channel Prediction and Beamforming Framework for MISO Systems

基于傅里叶图神经网络的多输入单输出系统联合信道预测与波束成形框架

2026-07-060
PRE
Hybrid Spatial and Contextual Learning for Port Selection in Fluid Antenna Systems

混合空间和上下文学习在流体天线系统中的端口选择

2026-07-010
PRE
LLM-Enabled Automated Algorithm Design for Multiuser Fluid Antenna Communications

基于LLM的多人流天线通信自动化算法设计

2026-06-090
PRE
Precoding With Linear-Scaling Complexity in Massive MIMO DFRC Systems

大规模MIMO DFRC系统中具有线性缩放复杂度的预编码

2026-05-150
PRE
Switching-Cost-Aware Deep Reinforcement Learning for Dynamic Port Selection in Fluid Antenna Systems

面向动态端口选择的流体天线系统的切换成本感知深度强化学习

2026-03-300
PRE
Convolutional Autoencoder-Enhanced Semantic Communication in Optical Fiber Systems

光纤系统中卷积自编码器增强的语义通信

2026-03-240
PRE
Quantum-Inspired Generic Optimization for Multiuser Fluid-MIMO Communications and Sensing: Joint Port Selection and Beamforming

量子启发式通用优化在多用户流媒体MIMO通信与感知中的应用:联合端口选择与波束成形

2026-03-180
PRE
Wideband Hybrid-Field THz UM-MIMO Channel Estimation: A Dual-Attention-Aided Deep-Unfolded Bayesian Learning Approach

宽频混合场太赫兹UM-MIMO信道估计:一种基于双注意力辅助的深度展开贝叶斯学习方法

2026-03-180
PRE
Multibeam High Throughput Satellite: Hardware Foundation, Resource Allocation, and Precoding

多波束高通量卫星:硬件基础、资源分配与预编码

2026-03-130
PRE
Quantum-Inspired Joint Optimization of Multiuser Downlink Power Allocation and Wave-Based Beamforming for Stacked Intelligent Metasurfaces

量子启发式多用户下行链路功率分配与基于波的波束赋形联合优化方法研究(针对堆叠智能超表面)

2026-03-100
PRE
Task Offloading on Dense Electric Intelligent Vehicular Networks: A Mean Field Deep Reinforcement Learning Approach

稠密电动智能车辆网络中的任务卸载:一种平均场深度强化学习方法

2026-01-010
PRE
LLM-Driven Design for Fluid Antenna Systems

基于LLM的流体天线系统设计

2026-01-010
PRE
Task Offloading and Position Optimization for Large-Scale Unmanned Aerial Vehicle Networks: A Mean Field Learning Approach

大规模无人机网络的任务卸载与位置优化:一种平均场学习的方法

2026-01-010
PRE
Symbol Detection in Ambient Backscatter Communications Under Residual Time Synchronization Errors

在残余时间同步误差下的环境反向散射通信中的符号检测

2026-01-010
OAAI
Partially Observable Mean Field Learning for Opportunistic FAMA

机会主义FAMA的部分可观察平均场学习

2025-12-190
PRE
Cooperative Sensing and Offloading in NOMA-Based Vehicular Network: A Quantum-Inspired Approach

基于非正交多址接入的车载网络中的协同感知与卸载:一种量子启发式方法

2025-12-190
PRE
Fluid Antenna Enabled Compact Ultra Massive Antenna Array for Satellite Communications

流体天线实现紧凑型超大规模天线阵列用于卫星通信

2025-10-060
PRE