mca 21(19): e2

Research Article

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

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  • @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
Kirti Keshav1, Ashish Kumar Pradhan1, T Srinivas2, Pallapa Venkataram2,*
  • 1: Samsung Semiconductor India Research, Doddanekundi, Bangalore, India-560037
  • 2: Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, India-560012
*Contact email: pallapa@iisc.ac.in

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.