High penetration of smart devices in IoE-enabled smart grids besides decentralization
originated from employing renewable resources face the power system with intricate …

Integrated space-air-ground networks promise to offer a valuable solution space for
empowering the sixth generation of communication networks (6G), particularly in the context …

In reinforcement learning, the objective is almost always defined as a cumulative function
over the rewards along the process. However, there are many optimal control and …

Opportunistic routing exploits the broadcast nature of the wireless medium. It can bring
higher reliability and robustness in highly dynamic and/or severe environments such as …

Decentralization and high penetration of smart devices in IoE-enabled smart grids face the
power system with complex scheduling problems. Engaging with big data produced by the …

针对电磁频谱空间中频谱资源日益稀缺的问题, 新兴的射频机器学习旨在结合电磁频谱领域知识
, 设计专门的机器学习模型, 具有快速, 小样本甚至零样本, 可解释性和高性能的优势 …

In wireless Ad Hoc networks, optimal routing is closely coupled with radio resource
allocation. This paper adopts a cross-layer approach and improves the performance of multi …

This paper details the development of a multi-agent cognitive system intended to optimize
networking performance in the lunar environment. One concept of the future of lunar …

Opportunistic routing relies on the broadcast capability of wireless networks. It brings higher
reliability and robustness in highly dynamic and/or severe environments such as mobile or …

Power control and scheduling are among the most well-known resource allocation
challenges in wireless networks, and are often solved as optimization problems with …