4 papers · 1 filter
Hierarchical Learning for IRS-Assisted MEC Systems with Rate-Splitting Multiple Access
Yinyu Wu, Xuhui Zhang, Yingchao Jiao +5
Intelligent reflecting surface (IRS)-assisted mobile edge computing (MEC) systems have shown notable improvements in efficiency, such as reduced latency, higher data rates, and bet…
Energy-Efficient Multi-UAV-Enabled MEC Systems over Space-Air-Ground Integrated Networks
Wenchao Liu, Xuhui Zhang, Chunjie Wang +5
With the development of artificial intelligence integrated next-generation communication networks, mobile users (MUs) are increasingly demanding the efficient processing of computa…
UAV-Enabled Data Collection for IoT Networks via Rainbow Learning
Yingchao Jiao, Xuhui Zhang, Wenchao Liu +5
Unmanned aerial vehicles (UAVs) enabled Internet of things (IoT) systems have become an important part of future wireless communications. To achieve higher communication rate, the…
Joint Association, Beamforming, and Resource Allocation for Multi-IRS Enabled MU-MISO Systems With RSMA
Chunjie Wang, Xuhui Zhang, Huijun Xing +5
Intelligent reflecting surface (IRS) and rate-splitting multiple access (RSMA) technologies are at the forefront of enhancing spectrum and energy efficiency in the next generation…