Active Queue Management (AQM) Modelling for Mitigating Bufferbloat in Delay Sensitive Applications across 5G Cellular Networks
The fifth-generation network (5G) is expected to be the key to delivering low-latency wireless services. To enhance the quality of service (QoS) in 5G networks and quality of experience (QoE), AQM methods are part of solutions for mitigation bufferbloat which often leads to delay, latency and underutilization of communication links in the network. This study proposes an enhanced Active Queue Management model utilizes full-buffer indicator (FBI) and an adaptive control utility (CU) for mitigating bufferbloat on the buffer in the 5G cellular network as more devices are connected to the 5G cellular network. To enable mmWave link utilization of the cellular network while maintaining the performance of the enhanced AQM model for mitigating bufferbloat and latency in delay sensitive applications in the 5G cellular network communication link in order to achieve better quality of experience in delay sensitive applications, this study proposes an embedded feedback control with the control utility mechanism proposed. This is used to ensure that the sending window is controlled so as not to overwhelm the buffer when congestion is noticed in the network.
Authors: M. Agagu, A.O. Oluwatope
- Date of Conference: 6-8 December 2022
- DOI: 10.20533/ICITST.2022.0006
- ISBN: 978-1-913572-55-6
- Conference Location: Virtual (London, UK)