QoE-Driven Resource Allocation for Live Video Streaming Over D2D-Underlaid 5G Cellular Networks

Yun, Jihyeok; Piran, Md. Jalil; Suh, Doug Young

doi:10.1109/access.2018.2882441

Cited by 15 publications

(6 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They presented the results of the proposed technique while achieving the lowest error rate. The authors of [ 129 ] presented a cross-layer D2D link control framework ensuring QoS and enhancing video streaming QoE having various delay and priorities limitations. The authors discussed three techniques in this framework, consisting of flexible communication mode switching UE, priority-based video transmission, and subset-based assignment of relay.…”

Section: Discussionmentioning

confidence: 99%

Resource Allocation Schemes for 5G Network: A Systematic Review

Kamal

Raza

Alam

et al. 2021

Sensors

View full text Add to dashboard Cite

Fifth-generation (5G) communication technology is intended to offer higher data rates, outstanding user exposure, lower power consumption, and extremely short latency. Such cellular networks will implement a diverse multi-layer model comprising device-to-device networks, macro-cells, and different categories of small cells to assist customers with desired quality-of-service (QoS). This multi-layer model affects several studies that confront utilizing interference management and resource allocation in 5G networks. With the growing need for cellular service and the limited resources to provide it, capably handling network traffic and operation has become a problem of resource distribution. One of the utmost serious problems is to alleviate the jamming in the network in support of having a better QoS. However, although a limited number of review papers have been written on resource distribution, no review papers have been written specifically on 5G resource allocation. Hence, this article analyzes the issue of resource allocation by classifying the various resource allocation schemes in 5G that have been reported in the literature and assessing their ability to enhance service quality. This survey bases its discussion on the metrics that are used to evaluate network performance. After consideration of the current evidence on resource allocation methods in 5G, the review hopes to empower scholars by suggesting future research areas on which to focus.

show abstract

Section: Discussionmentioning

confidence: 99%

Resource Allocation Schemes for 5G Network: A Systematic Review

Kamal

Raza

Alam

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…In addition, the conventional transport-layer bottleneck was also addressed by utilizing virtualized caching resources at the mobile edge while guaranteeing high data rate requirements. Yun et al [180] proposed a QoE-driven resource allocation mechanism for LVS services of a cross-layer D2D link control system in D2D-underlaid ifth-generation cellular networks. The superior performance in terms of the QoE improvement, the average mean time to failure, the average peak signal-to-noise ratio (PSNR), and the average energy consumption of the proposed framework [180] has been demonstrated via system-level simulations.…”

Section: Network Qos/qoementioning

confidence: 99%

“…Yun et al [180] proposed a QoE-driven resource allocation mechanism for LVS services of a cross-layer D2D link control system in D2D-underlaid ifth-generation cellular networks. The superior performance in terms of the QoE improvement, the average mean time to failure, the average peak signal-to-noise ratio (PSNR), and the average energy consumption of the proposed framework [180] has been demonstrated via system-level simulations. Meanwhile, Liu et al [111] established a QoE-driven HTTP adaptive LVS channel placement (HASCP) strategy to optimize the channel allocation in media cloud servers, which led to QoE maximization and achieved higher bandwidth utilization than those based on benchmark solutions.…”

Section: Network Qos/qoementioning

confidence: 99%

A Contemporary Survey on Live Video Streaming from a Computation-Driven Perspective

Dao

Tran

et al. 2022

ACM Comput. Surv.

View full text Add to dashboard Cite

Live video streaming services have experienced significant growth since the emergence of social networking paradigms in recent years. In this scenario, adaptive bitrate streaming communications transmitted on web protocols provide a convenient and cost-efficient facility to serve various multimedia platforms over the Internet. In these communication models, video content is delivered optimally, possibly transcoded, edited automatically, and cached temporarily by network elements along the path. To this end, the computational capabilities of various network elements are considered as major resources to be optimized for service quality improvements. This paper provides a contemporary survey of cutting-edge live video streaming studies from a computation-driven perspective. First, an overview of the global standards, system architectures, and streaming protocols is presented. Next, hierarchical computation-driven models of live video streaming are anatomized, including cloud-, edge-, and peer-to-peer-based solutions. Cutting-edge studies are then reviewed to discover the advances they have made in improving system performance in multiple aspects. Finally, open challenges are presented to direct future research in this field.

show abstract

“…So, to handle the model with imperfect CSI, there is a need for perfect joint precoders to remove the interfering signals from the BS and a more advanced channels estimation algorithm to attain the more accurate channel information. Considering the aforementioned discussion, it is an open issue that needs to be resolved to reduce the effect of errors [376], [377].…”

Section: B Imperfect Csimentioning

confidence: 99%

A Systematic Review on NOMA Variants for 5G and Beyond

et al. 2021

Self Cite

View full text Add to dashboard Cite

Over the last few years, interference has been a major hurdle for successfully implementing various end-user applications in the fifth-generation (5G) of wireless networks. During this era, several communication protocols and standards have been developed and used by the community. However, interference persists, keeping given quality of service (QoS) provision to end-users for different 5G applications. To mitigate the issues mentioned above, in this paper, we present an in-depth survey of state-ofthe-art non-orthogonal multiple access (NOMA) variants having power and code domains as the backbone for interference mitigation, resource allocations, and QoS management in the 5G environment. These are future smart communication and supported by device-to-device (D2D), cooperative communication (CC), multiple-input and multiple-output (MIMO), and heterogeneous networks (HetNets). From the existing literature, it has been observed that NOMA can resolve most of the issues in the existing proposals to provide contention-based grant-free transmissions between different devices. The key differences between the orthogonal multiple access (OMA) and NOMA in 5G are also discussed in detail. Moreover, several open issues and research challenges of NOMA-based applications are analyzed. Finally, a comparative analysis of different existing proposals is also discussed to provide deep insights to the readers.

show abstract

QoE-Driven Resource Allocation for Live Video Streaming Over D2D-Underlaid 5G Cellular Networks

Cited by 15 publications

References 42 publications

Resource Allocation Schemes for 5G Network: A Systematic Review

Resource Allocation Schemes for 5G Network: A Systematic Review

A Contemporary Survey on Live Video Streaming from a Computation-Driven Perspective

A Systematic Review on NOMA Variants for 5G and Beyond

Contact Info

Product

Resources

About