Dynamic QoS Management for Interactive Multimedia in Integrated 4G/5G Networks

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 throug...

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Main Authors: Kirti Keshav, Ashish Pradhan, T Srinivas, Pallapa Venkataram
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2021-07-01
Series:EAI Endorsed Transactions on Mobile Communications and Applications
Subjects:
Online Access:https://eudl.eu/pdf/10.4108/eai.23-6-2021.170243
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author Kirti Keshav
Ashish Pradhan
T Srinivas
Pallapa Venkataram
author_facet Kirti Keshav
Ashish Pradhan
T Srinivas
Pallapa Venkataram
author_sort Kirti Keshav
collection DOAJ
description 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.
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spelling doaj.art-bd9e7a3e60f8453fa495db7eb35cf4292022-12-21T22:07:36ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Mobile Communications and Applications2032-95042021-07-0161910.4108/eai.23-6-2021.170243Dynamic QoS Management for Interactive Multimedia in Integrated 4G/5G NetworksKirti Keshav0Ashish Pradhan1T Srinivas2Pallapa Venkataram3Samsung Semiconductor India Research, Doddanekundi, Bangalore, India-560037Samsung Semiconductor India Research, Doddanekundi, Bangalore, India-560037Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, India-560012Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, India-560012INTRODUCTION: 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.https://eudl.eu/pdf/10.4108/eai.23-6-2021.170243quality of serviceinteractive multimedia4g/5g integrated multimedia networks
spellingShingle Kirti Keshav
Ashish Pradhan
T Srinivas
Pallapa Venkataram
Dynamic QoS Management for Interactive Multimedia in Integrated 4G/5G Networks
EAI Endorsed Transactions on Mobile Communications and Applications
quality of service
interactive multimedia
4g/5g integrated multimedia networks
title Dynamic QoS Management for Interactive Multimedia in Integrated 4G/5G Networks
title_full Dynamic QoS Management for Interactive Multimedia in Integrated 4G/5G Networks
title_fullStr Dynamic QoS Management for Interactive Multimedia in Integrated 4G/5G Networks
title_full_unstemmed Dynamic QoS Management for Interactive Multimedia in Integrated 4G/5G Networks
title_short Dynamic QoS Management for Interactive Multimedia in Integrated 4G/5G Networks
title_sort dynamic qos management for interactive multimedia in integrated 4g 5g networks
topic quality of service
interactive multimedia
4g/5g integrated multimedia networks
url https://eudl.eu/pdf/10.4108/eai.23-6-2021.170243
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AT ashishpradhan dynamicqosmanagementforinteractivemultimediainintegrated4g5gnetworks
AT tsrinivas dynamicqosmanagementforinteractivemultimediainintegrated4g5gnetworks
AT pallapavenkataram dynamicqosmanagementforinteractivemultimediainintegrated4g5gnetworks