To improve the system performance towards the Shannon limit, advanced radio resource
management mechanisms play a fundamental role. In particular, scheduling should receive …

Integrating artificial intelligence (AI) into wireless networks has drawn significant interest in
both industry and academia. A common solution is to replace partial or even all modules in …

Scheduling plays a pivotal role in multi-user wireless communications, since the quality of
service of various users largely depends upon the allocated radio resources. In this paper …

Recently Deep Reinforcement Learning (DRL) based techniques have been applied to
scheduling algorithms at wireless Base Stations (BS) with promising results. The Deep …

Scheduling plays a pivotal role in multi-user wireless communications, since the quality of
service of various users largely depends upon the allocated radio resources. In this paper …

Radio access network (RAN) in 5G is expected to satisfy the stringent delay requirements of
a variety of applications. The packet scheduler plays an important role by allocating …

Scheduling in cellular networks plays a critical role and is a key differentiating factor of
network performance. The design of scheduling algorithms is challenging since it has to be …

This article presents an artificial intelligence (AI) adaptable solution to handle the radio
resource scheduling (RRS) task in 5G networks. RRS is one of the core tasks in radio …

Fifth-generation (5G) New Radio (NR) cellular networks support a wide range of new
services, many of which require an application-specific quality of service (QoS), eg in terms …

Interference among concurrent transmissions in a wireless network is a key factor limiting
the system performance. One way to alleviate this problem is to manage the radio resources …