220 citations · 609 across the 49 of their papers we have counts for
4 papers · 2 filters
Deep Reinforcement Learning for Interference Management in UAV-based 3D Networks: Potentials and Challenges
Mojtaba Vaezi, Xingqin Lin, Hongliang Zhang +2
Modern cellular networks are multi-cell and use universal frequency reuse to maximize spectral efficiency. This results in high inter-cell interference. This problem is growing as…
Next-Generation Full Duplex Networking System Empowered by Reconfigurable Intelligent Surfaces
Yingyang Chen, Yuncong Li, Miaowen Wen +5
Full duplex (FD) radio has attracted extensive attention due to its co-time and co-frequency transceiving capability. {However, the potential gain brought by FD radios is closely r…
Edge Learning for Large-Scale Internet of Things With Task-Oriented Efficient Communication
Haihui Xie, Minghua Xia, Peiran Wu +2
In the Internet of Things (IoT) networks, edge learning for data-driven tasks provides intelligent applications and services. As the network size becomes large, different users may…
Towards 6G Hyper-Connectivity: Vision, Challenges, and Key Enabling Technologies
Howon Lee, Byungju Lee, Heecheol Yang +5
Technology forecasts anticipate a new era in which massive numbers of humans, machines, and things are connected to wireless networks to sense, process, act, and communicate with t…