Research Article
Dynamic QoS Management for Interactive Multimedia in Integrated 4G/5G Networks
@ARTICLE{10.4108/eai.23-6-2021.170243, author={Kirti Keshav and Ashish Kumar Pradhan and T Srinivas and Pallapa Venkataram}, title={Dynamic QoS Management for Interactive Multimedia in Integrated 4G/5G Networks}, journal={EAI Endorsed Transactions on Mobile Communications and Applications}, volume={6}, number={19}, publisher={EAI}, journal_a={MCA}, year={2021}, month={6}, keywords={Quality of Service, Interactive Multimedia, 4G/5G Integrated Multimedia Networks}, doi={10.4108/eai.23-6-2021.170243} }- Kirti Keshav
Ashish Kumar Pradhan
T Srinivas
Pallapa Venkataram
Year: 2021
Dynamic QoS Management for Interactive Multimedia in Integrated 4G/5G Networks
MCA
EAI
DOI: 10.4108/eai.23-6-2021.170243
Abstract
INTRODUCTION: Emerging interactive multimedia applications such as VR have some key requirements that communication medium must full fill in order to have a smooth interactive experience. These requirements include higher uplink and downlink throughput requirement, low latency, and consistent throughput even at the cell edge. Present day 4G/5G Network faces a lack of resource availability for highly sophisticated applications like interactive multimedia. While 4G/5G networks do have a QoS mechanism to handle multiple varieties of traffic requirements, they are passive. At best, initial negotiated QoS are changed on a reactive basis.
OBJECTIVES: This work proposes a dynamic QoS management scheme so that the overall necessary resource allocation for interactive multimedia and non-interactive applications can occur.
METHODS: The scheme uses mobile agents which can efficiently predict possible disruption in QoS and helpboth server and users to adapt to changing network situation. This way user can be notified of an expected or estimated service quality change in advance, timely adaptation is possible. use this information to for efficient QoS negotiation and re-negotiation.
RESULTS: The developed scheme has been tested with different sizes of the 4G/5G networks with several virtual reality users along with other background loads of applications.
CONCLUSION: Results are quite encouraging and the system is practically implementable.
Copyright © 2021 Kirti Keshav et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
