Browsing by Author "Aruna, V."

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    Scalable multi-connectivity approaches for AR/VR traffic management in 5G networks
    (IEEE, 2025-07-15) Dhamini, V.; Subathra, Y.; Aruna, V.; Jothi, J Salomi Backia; Sathish, A.; Ali, Guma
    The expanding use of AR/VR applications in 5G networks needs an efficient traffic management system for reaching the network requirements concerning latency and bandwidth usage. The current network architectures show limitations during changes in traffic flow patterns which results in performance deterioration. A Scalable Multi-Connectivity Approach based on Software-Defined Networking (SDN) with Artificial Intelligence (AI) traffic balancing and Multi-Access Edge Computing (MEC) serves to improve 5G network management of AR/VR traffic. The system implementation includes the combination of AI-based load balancing and QoS-aware network slicing and SDN-based adaptive routing for distributing traffic optimally across 5G, LTE, and Wi-Fi networks. Real-time immersive experiences improve significantly through simulation results which show a reduction in AR/VR jitter by 28 % together with an average latency of 15.3 ms. The study shows that artificial intelligence-based multi-connectivity methods create successful traffic management for AR/VR applications through optimized resource utilization in networks.