A Multi-User Cost-Efficient Crowd-Assisted VR Content Delivery Solution in 5G-and-Beyond Heterogeneous Networks

Zhong, Lujie; Xu, Changqiao; Ma, Yunxiao; Wang, Mu; Zhao, Yu; Muntean, Gabriel‐Miro

doi:10.1109/tmc.2022.3162147

Cited by 24 publications

(8 citation statements)

References 53 publications

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“…In [37], a multi-user cost-efficient crowd-assisted delivery and computing (MEC-DC) framework was proposed leveraging MEC and end-user resources to support the high-performance multi-user immersive experience of VR content delivery over 5G heterogeneous networks (5G-HetNets). A buffer evolution model for VR transmissions over 5G-HetNets was proposed to ensure smooth and synchronized user viewing experiences by using stochastic distributed algorithms.…”

Section: Related Work 1mobile Edge Computing For Vr Videosmentioning

confidence: 99%

Performance Analysis of an Adaptive Rate Scheme for QoE-Assured Mobile VR Video Streaming

Chu

Zepernick

2022

Computers

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The emerging 5G mobile networks are essential enablers for mobile virtual reality (VR) video streaming applications assuring high quality of experience (QoE) at the end-user. In addition, mobile edge computing brings computational resources closer to the user equipment (UE), which allows offloading computationally intensive processing. In this paper, we consider a network architecture for mobile VR video streaming applications consisting of a server that holds the VR video content, a mobile edge virtualization with prefetching (MVP) unit that handles the VR video packets, and a head-mounted display along with a buffer, which together serve as the UE. Several modulation and coding schemes with different rates are provided by the MVP unit to adaptively cope with the varying wireless link conditions to the UE and the state of the UE buffer. The UE buffer caches VR video packets as needed to compensate for the adaptive rates. A performance analysis is conducted in terms of blocking probability, throughput, queueing delay, and average packet error rate. To capture the effect of fading severity, the analytical expressions for these performance metrics are derived for Nakagami-m fading on the wireless link from the MVP unit to the UE. Numerical results show that the proposed system meets the network requirements needed to assure the QoE levels of different mobile VR video streaming applications.

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Section: Related Work 1mobile Edge Computing For Vr Videosmentioning

confidence: 99%

Performance Analysis of an Adaptive Rate Scheme for QoE-Assured Mobile VR Video Streaming

Chu

Zepernick

2022

Computers

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“…When the S t is given, the estimate value v S ( ) t is offered by the neural network θ critic . 44,45 For θ critic ,…”

Section: Components Of Drlmentioning

confidence: 99%

“…

\gamma

is the discount factor showing the value to the future. When the

{S}_{t}

is given, the estimate value

v({S}_{t})

is offered by the neural network

{\theta }_{\mathrm{critic}}

44,45 . For

{\theta }_{\mathrm{critic}}

{\theta }_{\mathrm{critic}}\leftarrow {\theta }_{\mathrm{critic}}+\beta \frac{\partial {\left({f}_{{\pi }_{\theta }^{c}}^{\mathrm{adv}}({V}_{t}| {S}_{t})\right)}^{2}}{\partial {\theta }_{\mathrm{critic}}}.

…”

Section: The Intelligent Proactive Defense Strategymentioning

confidence: 99%

“…The client Domain Name System (DNS) cache 1 is a local temporary database of all recently accessed domain names and addresses. Whether the client is a personal computer, intelligent terminal, or virtualized device, 2,3 the DNS cache is needed to accelerate the web access experience. [4][5][6][7] Due to the COVID-19 pandemic, Gartner notes that web clients are expected to reach 6.4 billion by 2022, a 3.2% increase from 2021.…”

Section: Introductionmentioning

confidence: 99%

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An intelligent proactive defense against the client‐side DNS cache poisoning attack via self‐checking deep reinforcement learning

Yang

et al. 2022

Int J of Intelligent Sys

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A new class of poisoning attacks has recently emerged targeting the client-side Domain Name System (DNS) cache. It allows users to visit fake websites unconsciously, thereby revealing their information, such as passwords. However, the current DNS defense architecture does not include DNS clients. Although relative encryption solutions can mitigate this attack, they require the cooperation of multiple parties, and the deployment speed is slow. Therefore, we propose an intelligent-driven proactive defense strategy. First, we model the offensive and defensive process as a stochastic game based on moving target defense. Second, we adopt and optimize Proximal PolicyOptimization (PPO), a deep reinforcement learning method, to solve problems caused by uncertain attack strategies and unknown state transition probability. Third, we design a self-checking component in PPO to solve the uncertainty of action space caused by game state constraints based on our previous work. Thus the convergence speed and stability of PPO are improved. Finally, to the best of our knowledge, we are the first to game with intelligent attackers besides three conventional ones. Our strategy does not require any

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“…In response to the demand for higher-definition and faster service quality in multimedia and Internet applications, wireless 5G communication systems face the problem of high-speed transmission [2]. However, the data rate is limited by the intersymbol interference, which reduces the system transmission performance [3][4][5]. The main challenge in achieving reliable 5G communication depends on the marketing strategy conditions encountered when transmitting information through wireless marketing strategies [6].…”

Section: Introductionmentioning

confidence: 99%

5G Wireless Multimedia-Assisted Marketing Strategy Establishment and Effect Evaluation

Fu¹,

Zhang²

2022

Journal of Sensors

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5G wireless networks are attracting attention due to their high data rates and robustness to multimedia options. Based on 5G wireless multimedia technology, this paper constructs an auxiliary marketing strategy for multipath collaboration. Based on the 5G wireless network system, the model solves the optimization problem of effective service energy consumption. The solution of the problem is obtained through a two-step solution and related algorithms, and the numerical simulation proves that the multipath cooperative transmission strategy has the advantages of network delay and effective service performance. In the simulation process, a 5G NR downlink system simulation model is established according to the wireless data transmission theory; in the marketing strategy estimation, the decision feedback marketing strategy estimation algorithm is improved to improve the marketing strategy estimation performance, which can effectively reduce insertion loss of the network. The results show that with the increase of the marketing data center density, the receiving delay decreases and the energy efficiency increases; when the number of video contents in the marketing data center is configured as 264, the effective service performance under the single-path transmission strategy can be achieved. Compared with the minimum value of the effective service energy consumption under the single-path transmission strategy, the minimum value of the effective service energy consumption under the multipath cooperative transmission strategy is reduced by 11.5%, which effectively improves the network throughput of data.

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A Multi-User Cost-Efficient Crowd-Assisted VR Content Delivery Solution in 5G-and-Beyond Heterogeneous Networks

Cited by 24 publications

References 53 publications

Performance Analysis of an Adaptive Rate Scheme for QoE-Assured Mobile VR Video Streaming

Performance Analysis of an Adaptive Rate Scheme for QoE-Assured Mobile VR Video Streaming

An intelligent proactive defense against the client‐side DNS cache poisoning attack via self‐checking deep reinforcement learning

5G Wireless Multimedia-Assisted Marketing Strategy Establishment and Effect Evaluation

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