In order to maximize network performance, we use the Deep Reinforcement Learning (DRL)
approach in this research to dynamically arrange flexible transmission intervals at the time …

Space-air-ground integrated network (SAGIN) can support a wide variety of task scenarios
as a next-generation network. In this dynamic network, tasks with different characteristics …

To realize the Interconnection of Everything (IoE) in the 6G vision, the space-based, air-
based, and ground-based networks have shown a trend of integration. Compared with the …

To satisfy tight latency constraints, ultra-reliable low latency communications (URLLC) traffic
is scheduled by overlapping the on-going enhanced mobile broad band (eMBB) …

In 5G, eMBB services are defined to support high data rate, while URLLC services focus on
low latency and high reliability. Multiplexing these two services on the same wireless radio …

Space-air-ground integrated networks (SAGIN) are currently a focal point of research,
representing an emerging architectural concept for sixth-generation (6G) networks. Given …

In the era of 5G and beyond wireless networks, the simultaneous support of enhanced
Mobile Broadband (eMBB) and Ultra-Reliable Low Latency Communications (URLLC) …

In the coexistence of ultra‐reliable low latency communication (URLLC) and enhanced
mobile broad band (eMBB) in 5G networks, the arriving URLLC traffic with strict latency …

In this work, we employ a constrained risk-sensitive deep reinforcement learning (CRS-DRL)
approach for joint scheduling in a dynamic multiplexing scenario involving enhanced mobile …

Ultra-reliable and low-latency communication (URLLC) in mobile networks is still one of the
core solutions that require thorough research in 5G and beyond. With the vigorous …