Bandwidth allocation for interactive multimedia in 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 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 help both 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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Adaptive quality of service for packet loss reduction using OpenFlow meters

Deo,

Chaudhary,

Assaf

2024

PeerJ Computer Science

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Quality of Service (QoS) is a mechanism used in computer networks to prioritize, classify, and treat packets differently based on certain criteria. This helps the switching devices to schedule and reorder packets if there is congestion in the network. Edge routers experience high traffic congestion as a result of traffic aggregation from the internal network devices. A router can have multiple QoS classes configured, and each class could experience traffic at various rates. However, when a QoS class is underperforming or needs more bandwidth, some bandwidth can be borrowed or leased out to another QoS class to ensure the link is utilized to maximum capacity and the highest throughput is achieved. This article proposes a bandwidth allocation and distribution algorithm that purely uses the flow statistics from the OpenFlow switches to allocate bandwidth to different QoS classes optimally based on their current requirement. The algorithm does not guarantee in advance that the packet loss will be minimized but does guarantee the initial minimum bandwidth allocation. It adjusts the flows’ rates with the aim to increase their current throughput. The algorithm uses the Software Defined Networking (SDN) controller’s flow monitoring component to query the flow statistics from the switch to first approximate the traffic flow rate and then calculate the optimal bandwidth values to assign to each QoS class. The proposed algorithms will be applied to certain switches in the path with the assumption that all the switches are OpenFlow compatible. The algorithm’s performance was compared with the Adaptive Quality of Service (AQoS) algorithm over various traffic scenarios. The results show that the proposed algorithm achieves an average of 9% performance gain compared to the AQoS algorithm.

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Bandwidth allocation for interactive multimedia in 5G Networks

Cited by 3 publications

References 19 publications

Dynamic Bandwidth Allocation in MIMO 5G Networks

Dynamic Bandwidth Allocation in MIMO 5G Networks

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

Adaptive quality of service for packet loss reduction using OpenFlow meters

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