Network Slicing and Deep Reinforcement Learning (DRL) are vital enablers for achieving
5G and 6G networks. A 5G/6G network can comprise various network slices from unique or …

Machine learning is widely used to solve networking challenges, ranging from traffic
classification and anomaly detection to network configuration. However, machine learning …

After decades of unprecedented development, modern networks have evolved far beyond
expectations in terms of scale and complexity. In many cases, traditional traffic engineering …

In conventional networks, there was a tight bond between the control plane and the data
plane. The introduction of Software-Defined Networking (SDN) separated these planes, and …

Traditional routing algorithms cannot dynamically change network environments due to the
limited information for routing decisions. Meanwhile, they are prone to performance …

Traditional networking is hardware-based, having the control plane coupled with the data
plane. Software-Defined Networking (SDN), which has a logically centralized control plane …

Traditional routing protocols employ limited information to make routing decisions, which
leads to slow adaptation to traffic variability and restricted support to the quality of service …

Due to the rapid development of network communication technology and the significant
increase in network terminal equipment, the application of new network architecture …

With the widespread application of the Industrial Internet of Things (IIoT), the requirements
for sensing equipment to collect data and information continue to increase, and industrial …

Smart agricultural systems have received a great deal of interest in recent years because of
their potential for improving the efficiency and productivity of farming practices. These …