Optimized Resource and Power Allocation for Sum Rate Maximization in D2D- Assisted Caching Networks

Ali, Ahmed S.; Naguib, Khaled M.; Mahmoud, Korany R.

doi:10.1109/icces48960.2019.9068137

Cited by 4 publications

(11 citation statements)

References 19 publications

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“…Meeting these demands requires mobile networks to maintain stable and speedy connections. However, existing mobile communication technology faces challenges in coping with the surging demand for mobile network traffic [ 5 , 10 ].…”

Section: Research Backgroundmentioning

confidence: 99%

“…Most of all, this technology significantly decreases mobile traffic loads during rush hours, particularly in the case of the high-density user population, by interconnecting mobile device storage and users with wireless caching [ 10 ]. It enables fast and stable content delivery by lifting the load on the mobile network traffic using cache memory instead of network resources such as bandwidth [ 10 ]. Accordingly, this technology efficiently reduces network-related overloads and saves related costs [ 12 ].…”

Section: Research Backgroundmentioning

confidence: 99%

“…The proliferation of OTT services, competing to expand their subscriber base, has resulted in a substantial surge in mobile network traffic. Historically, mobile communication relied on the infrastructure of cellular networks, requiring telecommunication operators to deploy additional base stations, establish more access points, or expand network bandwidth to enhance performance [ 5 , 10 ]. Nevertheless, limitations in antenna performance, the financial burden of investment, and constrained resources have made it increasingly challenging to improve the functionality of wireless mobile networks.…”

Section: Introductionmentioning

confidence: 99%

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Understanding Mobile OTT Service Users’ Resistance to Participation in Wireless D2D Caching Networks

Jang,

Kim

2024

Behavioral Sciences

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With the explosive pace of mobile over-the-top (OTT) video content streaming services, mobile network traffic has seen unprecedented growth in recent years. However, the limitation of antenna performance, the burden of investment cost, and restricted resources hinder improving the current mobile networks’ functionality. Accordingly, wireless device-to-device (D2D) caching networks came to the fore as one of the competitive alternatives for alleviating the overloads of mobile network traffic. Wireless D2D caching networks can be a desirable alternative for OTT service providers and telecommunication operators, but the problem is user resistance. User participation is imperative to deliver wireless D2D caching network functionality successfully. Thus, to gain a deeper understanding of user resistance toward wireless D2D caching networks and their underlying sources, this study introduces two perceived cost factors contributing to this resistance and one perceived benefit that mitigates such resistance. Based on an online survey, this study found new theoretical links among perceived costs and benefits, resistance, and participation intention. The findings reveal that user resistance is predicted by perceived costs, encompassing resource sacrifices and privacy concerns, whereas perceived benefits—specifically, perceived usefulness—did not significantly influence resistance. This implies that telecommunication operators should prioritize market requirements over technological advantages, emphasizing the potential for successful commercialization of wireless D2D caching networks.

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Section: Research Backgroundmentioning

confidence: 99%

Section: Research Backgroundmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Understanding Mobile OTT Service Users’ Resistance to Participation in Wireless D2D Caching Networks

Jang,

Kim

2024

Behavioral Sciences

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“…Numerical results show that the ACO-based approach can outperform several baseline schemes in terms of cache hit ratio and average total delay. Applications of SI techniques (PSO and bat algorithm) are also investigated in [107], [108] for content caching in D2D communications. Another work on wireless caching at the edge is considered in [109].…”

Section: A Wireless Cachingmentioning

confidence: 99%

Swarm Intelligence for Next-Generation Wireless Networks: Recent Advances and Applications

Pham¹,

Nguyen²,

Mirjalili³

et al. 2020

Preprint

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Due to the proliferation of smart devices and emerging applications, many next-generation technologies have been paid for the development of wireless networks. Even though commercial 5G has just been widely deployed in some countries, there have been initial efforts from academia and industrial communities for 6G systems. In such a network, a very large number of devices and applications are emerged, along with heterogeneity of technologies, architectures, mobile data, etc., and optimizing such a network is of utmost importance. Besides convex optimization and game theory, swarm intelligence (SI) has recently appeared as a promising optimization tool for wireless networks. As a new subdivision of artificial intelligence, SI is inspired by the collective behaviors of societies of biological species. In SI, simple agents with limited capabilities would achieve intelligent strategies for high-dimensional and challenging problems, so it has recently found many applications in nextgeneration wireless networks (NGN). However, researchers may not be completely aware of the full potential of SI techniques. In this work, our primary focus will be the integration of these two domains: NGN and SI. Firstly, we provide an overview of SI techniques from fundamental concepts to well-known optimizers. Secondly, we review the applications of SI to settle emerging issues in NGN, including spectrum management and resource allocation, wireless caching and edge computing, network security, and several other miscellaneous issues. Finally, we highlight open challenges and issues in the literature, and introduce some interesting directions for future research.

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“…So far, users have experienced increasingly faster data transmission speed and better picture quality of online video content as mobile communication technology has developed. However, this uptrend is wavering as the existing mobile communication technology gradually reaches its limit in meeting the enormous demands of mobile network traffic [3,5]. Due to excessively high infrastructure costs and restricted resource, it becomes difficult to rely on deploying more base stations or expanding the network bandwidth as before [6].…”

Section: Introductionmentioning

confidence: 99%

Development of a Decision Model for Korean OTT Service Users to Adopt Wireless D2D Caching Networks on Their Mobile Devices

Jang¹,

Kim²

2023

Preprint

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As most Korean OTT subscribers use mobile devices as their primary medium for watching OTT video content, mobile network traffic is soaring. However, the existing build-out of mobile communication technology – such as deploying more base stations or expanding the network bandwidth – is struggling to keep pace with the enormous increased demands of mobile network traffic. Accordingly, wireless device-to-device (D2D) caching networks are considered one of the most reliable alternatives for reducing the overload from mobile network traffic caused by streaming video content online. However, wireless D2D caching networks have pros and cons, like any other technology. Thus, this study aims to examine the practical decision-making process of mobile OTT service users in response to the application of wireless D2D caching networks on their mobile devices. An online survey of 94 respondents was conducted in South Korea during 19–23 May 2022; the data obtained were analyzed using the analytic hierarchy process (AHP) approach. The study finds that it was the risks, rather than the situational conditions and benefits, that mostly affected mobile OTT service users’ behavioral intentions and strategies. Streaming video content using mobile data or Wi-Fi was perceived as the most viable option. Mobile OTT service users were also willing to take the leap of shifts towards downloading video content in advance rather than adopting wireless D2D caching networks on a mobile device. However, mobile OTT service users’ decisions are heavily dependent on situational conditions related to use of mobile OTT services that make the quality of service consumption different. As one of the first to examine the responses of mobile OTT service users, this study provides meaningful implications for a timely and sensitive issue.

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Optimized Resource and Power Allocation for Sum Rate Maximization in D2D- Assisted Caching Networks

Cited by 4 publications

References 19 publications

Understanding Mobile OTT Service Users’ Resistance to Participation in Wireless D2D Caching Networks

Understanding Mobile OTT Service Users’ Resistance to Participation in Wireless D2D Caching Networks

Swarm Intelligence for Next-Generation Wireless Networks: Recent Advances and Applications

Development of a Decision Model for Korean OTT Service Users to Adopt Wireless D2D Caching Networks on Their Mobile Devices

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