Enabling QoE Support for Interactive Applications over Mobile Edge with High User Mobility

Shang, Xiaojun; Huang, Yaodong; Mao, Yingling; Liu, Zhenhua; Yang, Yuanyuan

doi:10.1109/infocom48880.2022.9796811

Cited by 17 publications

(8 citation statements)

References 28 publications

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“…5G and beyond 5G cellular networks with MEC and/or cloud computing are considered as the most viable architectures for wireless VR [15], [46], [102], [139], [141], [143], [151], [182], [219]- [222], [224]- [228]. A short survey on mobile VR over cellular networks with edge computing and cloud computing was presented in [15].…”

Section: A Vr Over Cellular Networkmentioning

confidence: 99%

“…Centralized and distributed decoupled DRL strategies are proposed and analyzed for maximizing the long-term QoE of VR users. Furthermore, impact of high user mobility on the QoE performance for interactive VR applications in MEC-enabled cellular network was thoroughly evaluated in [222]. In addition, a VR framework with mmWave and MEC for wireless VR applications was proposed in [226] for maximizing QoE by jointly optimizing UE association, caching policy and offloading mode selection.…”

Section: A Vr Over Cellular Networkmentioning

confidence: 99%

See 1 more Smart Citation

A Survey on Virtual Reality over Wireless Networks: Fundamentals, QoE, Enabling Technologies, Research Trends and Open Issues

Hossain,

Jamalipour,

Munasinghe

2023

Preprint

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<p>The purpose of this paper is to offer a comprehensive survey on the major technical issues and current research trends in supporting VR services over wireless networks. Additionally, the paper explores the fundamentals of VR technologies, applications, QoE requirements, spectrum requirements and key enabling technologies. Finally, a comprehensive discussion regarding potential research directions aimed at enhancing wireless VR experiences is also presented. Thus, this survey paper is structured to provide a strong baseline for the researchers working in wireless VR systems.</p>

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Section: A Vr Over Cellular Networkmentioning

confidence: 99%

Section: A Vr Over Cellular Networkmentioning

confidence: 99%

A Survey on Virtual Reality over Wireless Networks: Fundamentals, QoE, Enabling Technologies, Research Trends and Open Issues

Hossain,

Jamalipour,

Munasinghe

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The LRLBAS algorithm not only reduces network transmission delays between microservices, improves the reliability of microservice applications, and balances cluster load, but also takes into account the important constraint of the resource capacity of edge nodes. The DOCS algorithm proposed by Shang et al [10] achieves local optimality for each container request arriving at the edge node. In addition, service deployment at the edge must meet various restrictions and constraints, and existing deployment strategies often overlook the impact of resource heterogeneity in edge environments on service quality.…”

Section: Introductionmentioning

confidence: 99%

A Container Optimal Matching Deployment Algorithm based on CN-Graph for Mobile Edge Computing

Rao,

Chen,

et al. 2024

Preprint

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The deployment of increasingly diverse services on edge devices is becoming increasingly prevalent. Efficiently deploying functionally heterogeneous services to resource heterogeneous edge nodes while achieving superior user experience is a challenge that every edge system must address. In this paper, we propose a Container-Node Graph (CN-Graph) based container optimal matching deployment algorithm, Edge Kuhn-Munkres Algorithm (EKM) Based on Container-Node Graph, designed for heterogeneous environment to optimize systemperformance. Initially, containers are categorized by functional labels, followed by construction of a CN-Graph model based on the relationship between containers and nodes. Finally, the container deployment problem is transformed into a weighted bipartite graph optimal matching problem. In comparison with the mainstream container deployment algorithms, Swarm, Kubernetes, and the recently emerged ECSched-dp algorithm, the EKM algorithm demonstrates the ability to effectively enhance the average runtime performance of containers to 3.74 times, 4.10 times, and 2.39 times, respectively.

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“…It encompasses all the embedded autopilot features working on the edge. 12,13 The main stakeholders involved in this phase are OEMs, network operator, edge service function providers and end users. 3.…”

Section: Introductionmentioning

confidence: 99%

“…All autopilot functionalities are computed in the edge. It encompasses all the embedded autopilot features working on the edge 12,13 . The main stakeholders involved in this phase are OEMs, network operator, edge service function providers and end users. Hybrid autopilot: In this phase, the CAV has a back‐up brain for the embedded autopilot (phase 1).…”

Section: Introductionmentioning

confidence: 99%

6G‐edge support of Internet of Autonomous Vehicles: A survey

Ibn‐Khedher,

Laroui,

Alfaqawi

et al. 2023

Trans Emerging Tel Tech

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With the commercial deployment of 5G mobile communication systems, 6G is proposed to meet the needs of new use cases including connected and autonomous vehicles (CAVs). In this article, we surveyed different 6G embracing technologies such as mobile edge computing, unmanned aerial vehicles, network function virtualization, software defined networking, and artificial intelligence that can enhance the Internet of Autonomous Vehicles (IoAV) network performance comparing to existing 5G enabled solutions. Then, we highlight the convergence path of 6G and IoAV to satisfy the next generation of CAV applications. Further, we propose 6G cellular communication to support the quality of next IoAV applications. Furthermore, the article attempts to study the serious challenges in the 6G‐IoAV research field and propose potential future directions.

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Enabling QoE Support for Interactive Applications over Mobile Edge with High User Mobility

Cited by 17 publications

References 28 publications

A Survey on Virtual Reality over Wireless Networks: Fundamentals, QoE, Enabling Technologies, Research Trends and Open Issues

A Survey on Virtual Reality over Wireless Networks: Fundamentals, QoE, Enabling Technologies, Research Trends and Open Issues

A Container Optimal Matching Deployment Algorithm based on CN-Graph for Mobile Edge Computing

6G‐edge support of Internet of Autonomous Vehicles: A survey

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