Effective scheduling mechanism for a mixture of 5G multimedia use cases

Ramli, Huda Adibah Mohd; Hashim, Aisha Hassan Abdalla; Asnawi, Ani Liza

doi:10.1016/j.compeleceng.2023.108701

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…Tang [68] outlined digitalization-based image edge detection algorithm in intelligent recognition of 5G smart grid. Ramli et al [69] did scheduling mechanisms for a mixture of 5G multimedia use cases, but the findings of this study were unable to address the current challenges of emerging nations. Cheng et al [6] conduced interesting work to gauge attitude toward 5G in which the regulatory frame acted as moderating factors, but the absence of a concrete model failed to justify the outcomes.…”

Section: Price Valuementioning

confidence: 82%

Quantifying the Dynamic Factors Influencing New-Age Users’ Adoption of 5G Using TAM and UTAUT Models in Emerging Country: A Multistage PLS-SEM Approach

Dadhich,

Rathore,

Gyamfi

et al. 2023

Education Research International

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Objectives. The 5G has ushered in a new age of life-changing breakthroughs and advancements due to faster speeds, greater bandwidth, and ultra-high expectancy. The study proposes a multistage approach for quantifying the dynamic factors affecting users’ adoption of 5G in emerging countries. Method. This study integrated the technology acceptance model (TAM) and unified theory of acceptance and use of technology (UTAUT) to recommend a comprehensive model that the industry–academia can adopt. In the proposed model, various core hypotheses and subhypotheses were tested by employing 510 5G users of the metro cities of India. An online questionnaire was used to collect the facts, and the data were framed in the conceptual model to test the validation using partial least squares structural equation modeling (PLS-SEM). Results. The findings suggest that users’ perceptions of adopting 5G are overwhelming in that perceived trust was discovered as a mediating enabler between behavioral intention (BI) and selected manifest. Performance expectancy (PE), effort expectancy (EE), social factors (SF), facilitating factors (FF), hedonic motivation (HM), perceived benefits (PB), price value (PV), and habit (HB). Contribution. By identifying key enablers in the suggested model, service providers may better evaluate these aspects, particularly in ensuring reliable infrastructure for 5G service stands. The study is undoubtedly a novel attempt to assist the telecom industry and policymakers in accelerating the adoption of 5G in emerging economies of Asian continents.

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Section: Price Valuementioning

confidence: 82%