Abstract
Network management tools are usually inherited from one generation to another. This was successful since these tools have been kept in check and updated regularly to fit new networking goals and service requirements. Unfortunately, new networking services will render this approach obsolete and handcrafting new tools or upgrading the current ones may lead to complicated systems that will be extremely difficult to maintain and improve. Fortunately, recent advances in AI have provided new promising tools that can help solving many network management problems. Following this interesting trend, the current article presents LEASCH, a deep reinforcement learning model able to solve the radio resource scheduling problem in the MAC layer of 5G networks. LEASCH is developed and trained in a sand-box and then deployed in a 5G network. The experimental results validate the effectiveness of LEASCH compared to conventional baseline methods in many key performance indicators.
Highlights
The rapid evolution of networking applications will continue to bring new challenges to communication technologies
In 5G and beyond, services have reached completely new levels. This new era of communication is featured by new killer applications that will benefit from emergent technologies like Internet of things (IoT) and generation media such as virtual reality (VR) and augmented reality (AR), to name a few
These results clearly demonstrate that LEASCH is better than the baseline in all key performance indicators (KPIs)
Summary
The rapid evolution of networking applications will continue to bring new challenges to communication technologies. In the fourth-generation (4G), known as long term evolution (LTE), throughput and delay were the main foci. In 5G and beyond, services have reached completely new levels. This new era of communication is featured by new killer applications that will benefit from emergent technologies like Internet of things (IoT) and generation media such as virtual reality (VR) and augmented reality (AR), to name a few. Unlike LTE, 5G is a use-case driven technology. 5G is machine-centric and user-centric, The associate editor coordinating the review of this manuscript and approving it for publication was Wei Wang
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