The rapidly growing diversity of concurrent applications from both different users and same
devices calls for application-specific Quality of Experience (QoE) enhancement of future …

With the advent of the Internet of Everything era, communication data has exploded, which
requires more communication resources, such as frequency, time, and energy. In this …

The exponential growth of the Internet of Multimedia Things (IoMT) traffic has posed a threat
of service quality degradation due to the limitation of current communication, networking …

The expected explosive traffic has forced the fifth-generation (5G) mobile communication
system to be ultra-dense networks (UDNs). Driven by diverse applications, flexible resource …

The traditional way to design a packet scheduler is usually based on the prior knowledge of
networking environments. With advanced networking technologies, we propose a Deep-Q …

The massive growth in mobile data traffic and the heterogeneity and stringency of Quality of
Service (QoS) requirements of various applications have put significant pressure on the …

In this paper, we develop a knowledge-assisted deep reinforcement learning (DRL)
algorithm to design wireless schedulers in the fifth-generation (5G) cellular networks with …

With the soaring demands for high speed data communication, as well as transmission of
various types of services with different requirements over cellular networks, having a decent …

With the development of next-generation communication technologies and smart handheld
devices, mobile services have multiplied the global network traffic. Due to the subjectivity of …

Adaptive packet scheduling can efficiently enhance the performance of multipath Data
Transmission. However, realizing precise packet scheduling is challenging due to the nature …