Edge-Assisted Congestion Control Mechanism for 5G Network Using Software-Defined Networking

  • Divya Gaikwad et al.

Abstract

For coping with explosive growth of data traffic that is associated with a wide plethora of rising solicitation and services which is expected to be used by both ordinary users as well as  vertical industries, obstructing control mechanism is considered to be vital. In this paper, we have proposed an obstructing control mechanism that could function within the framework of Multi-Access Edge Computing (MEC). The intended mechanism is aiming to make real time decision for selectively buffering traffic, while taking network condition and Quality of Service (QoS) into consideration. In order to support a MEC-assisted scheme, the MEC server is expected to locally store delay-tolerant data traffics until the delay conditions expire. This enables network to have better control over the radio resource provisioning of higher priority data. To achieve this, we introduced a dedicated function known as Congestion Control Engine (CCE), which can capture Radio Access Network (RAN) condition through Radio Network Information Service (RNIS) function, and use this knowledge to make real time decision for selectively offloading traffic so that it can perform more intelligently. Analytical evaluation results of our intended mechanism confirms that it can alleviate network obstructing more efficiently.

Published
2019-11-15
Section
Articles