Information-Centric Virtualization for Software-Defined Statistical QoS Provisioning Over 5G Multimedia Big Data Wireless Networks

Xi, Zhang; Zhu, Quanxin

doi:10.1109/jsac.2019.2927088

Cited by 36 publications

(27 citation statements)

References 35 publications

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“…Challenges for QoS provisioning in such networks where multiple tenants compete for network resources are being addressed. For 5G networks with multimedia video communications comprising 70 percent of mobile traffic, a statistical delay bounded QoS provisioning approach is presented in [15] to accommodate time-sensitive and bandwidthintensive applications. SDN is used for dynamic reconfiguration of 5G wireless and radio access resources.…”

Section: Controller and Clientmentioning

confidence: 99%

“…This means that the path will still be considered if the delay is less than 300 msec for a particular path. However, if the delay is greater than 300 msec for a path, then the path will not be considered as it is violating the core-QoS constraint C6, mentioned in equation (15). In this scenario, the QoS selection variables would have values of y 1 = 1, y 2 = 0, y 3 = 0, and y 4 = 0.…”

Section: ) Core-qosmentioning

confidence: 99%

“…We collect transmitted packets at the receiver end and compare the achieved throughput with the demand. For all flows where the constraint C6 in equation (15) is satisfied as per QoS matrix Q, we mark the case as QoS satisfied. As we increase the number of nodes, the total bandwidth demand of all flows increases proportionally.…”

Section: B Core-qosmentioning

confidence: 99%

“…throughput, delay, and jitter. In this case, our optimization problem will find the shortest cost path, which satisfies our throughput constraint as per equations (13), (14), and (15). During experimentation, unlike the first experiment, it has been found that at times paths that have lower path cost but not the maximum available bandwidth have been chosen.…”

Section: B Core-qosmentioning

confidence: 99%

“…Because of the size of IoT networks, it would also cause scalability issues for these devices. Several QoS provisioning architectures have been proposed using Software Defined Networking (SDN) instead of network core devices, thus taking the load away from them [8]- [15]. Recently, there has also been profound research interest in 5G and beyond 5G networks for client-based RAT selection [6], [16]- [19].…”

Section: Introductionmentioning

confidence: 99%

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Beyond 5G: Hybrid End-to-End Quality of Service Provisioning in Heterogeneous IoT Networks

et al. 2020

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A significant increase is expected in video and multimedia traffic in Beyond 5G networks. The inclusion of a huge number of IoT nodes in Beyond 5G networks further complicates the design of such networks. These futuristic networks are expected to deal with this increased traffic and number of nodes while ensuring that network delays do not exceed a certain threshold. In such networks, Quality of Service (QoS) provisioning has become vital, not only to guarantee certain key performance indicators but also to improve user experience. This paper proposes a hybrid approach for end-to-end QoS provisioning, involving both clients and controllers to address these challenges. Each client tries to satisfy its own access QoS requirements by choosing optimal access device(s) and makes decisions based on locally available view. Controllers are then responsible for finding optimal paths in the core network to satisfy client core QoS requirements. Experimental results show that the proposed approach provides better QoS guarantees than several other access device selection and routing schemes.

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Section: Controller and Clientmentioning

confidence: 99%

Section: ) Core-qosmentioning

confidence: 99%

Section: B Core-qosmentioning

confidence: 99%