Green communications have always been a target for the information industry to alleviate
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …

This paper presents a comprehensive literature review on applications of deep
reinforcement learning (DRL) in communications and networking. Modern networks, eg …

As a key technique for enabling artificial intelligence, machine learning (ML) is capable of
solving complex problems without explicit programming. Motivated by its successful …

We consider the problem of optimally allocating resources across a set of transmitters and
receivers in a wireless network. The resulting optimization problem takes the form of …

The smart vehicles construct Internet of Vehicle (IoV), which can execute various intelligent
services. Although the computation capability of a vehicle is limited, multi-type of edge …

This paper considers the design of optimal resource allocation policies in wireless
communication systems, which are generically modeled as a functional optimization …

With the purpose to offload data traffic in wireless networks, content caching techniques
have recently been studied intensively. Using these techniques and caching a portion of the …

The unprecedented growth of wireless data traffic not only challenges the design and
evolution of the wireless network architecture, but also brings about profound opportunities …

Caching is envisioned to play a critical role in next-generation content delivery infrastructure,
cellular networks, and Internet architectures. By smartly storing the most popular contents at …

Beam hop** (BH) is considered to provide a high level of flexibility to manage irregular
and time-varying traffic requests in future multi-beam satellite systems. In BH optimization …