… , it implements the intelligent resource management in heterogeneous industrial networks.
Q-learning is a well-known RL algorithm for policy learning in wireless networks. Let Q(s, a) …

… of heterogeneous mobile networks (HMNs) [32] and the learning-based task offloading of
heterogeneous cellular networks (… To better achieve resource management, we need to find a …

… are mobile. Various ML techniques have been proposed for modern cellular networks …
communications technologies as well as heterogeneous cellular networks (HetNets). We will …

… as well as applying them to achieve efficient and secure resource management in wireless
networks. Some key research challenges are highlighted to motivate future investigation. …

… In the next subsection, by modeling wireless networks as graphs, we show that the
permutation equivariance property is universal in radio resource management problems. …

… Recently, DRL-based approach has been applied to several research fields, such as resource
management and allocation [25]–[31], mobile offloading [32], dynamic channel access [33]…

… of mobile devices and mobile data traffic, cellular networks are facing challenging issues
for high data rate. Device-to-Device (D2D) communications share cellular resources, which …

… computation offloading and resource management with Lyapunov optimization and game
theory is presented in Section IV. Section V analyzes the game strategies and proves the …

… Heterogeneous Wireless Networks We consider time-slotted heterogeneous wireless networks
… packets to an access point (AP) via a shared wireless channel, as illustrated in Fig. 2. We …

… MEC Deployment: In our designed resource management … of the core network to maintain
two-hop wireless transmissions … /wired networks, wireless network security, social networks, …