Device to Device Networks With Cache-Enabled and Self-Sustained Mobile Helpers

Chen, Xiaolong; Song, Xiaoshi; Jia, Chen; Cao, Ting

doi:10.1109/access.2019.2926771

Cited by 9 publications

(7 citation statements)

References 42 publications

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“…For a HetNet with limited backhaul capacity, this study utilized hybrid energy supply and balanced the traffic load. For a D2D network, Chen et al [217] introduced the concept of self-sustaining mobile helpers with caching capability. The mobile helpers served requests of the nearby users subject to battery status and achieved substantial reduction in energy consumption.…”

Section: B Activation Of Caching Units Based On Renewable Energy Supplymentioning

confidence: 99%

“…Cache hit ratio (CHR) is calculated as a ratio of the number of requests served by the caching node over the total number of content requests. To measure the effectiveness of a caching system, a number of studies [36], [40], [153], [154], [161], [173], [217]. utilized this metric.…”

Section: B Caching-related Metrics 1) Cache Hit Ratiomentioning

confidence: 99%

“…Coverage probability is a key metric from the user perspective. It represents the probability that the signal-tointerference-plus-noise-ratio (SINR) will remain higher compared to a benchmark value [178], [210], [217]. User experience vastly depends on coverage probability because it also represents the probability of obtaining satisfactory service.…”

Section: ) Spectral Efficiencymentioning

confidence: 99%

“…Cache hit ratio [24], [36], [40], [45], [52], [96], [123], [136], [153], [154], [161], [173], [177], [187], [217], [218] Hop counts [36], [113], [148], [149], [151], [180].…”

Section: Vehicular Communicationmentioning

confidence: 99%

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A Review on Green Caching Strategies for Next Generation Communication Networks

et al. 2020

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In recent years, the ever-increasing demand for networking resources and energy, fueled by the unprecedented upsurge in Internet traffic, has been a cause for concern for many service providers. Content caching, which serves user requests locally, is deemed to be an enabling technology in addressing the challenges offered by the phenomenal growth in Internet traffic. Conventionally, content caching is considered as a viable solution to alleviate the backhaul pressure. However, recently, many studies have reported energy cost reductions contributed by content caching in cache-equipped networks. The hypothesis is that caching shortens content delivery distance and eventually achieves significant reduction in transmission energy consumption. This has motivated us to conduct this study and in this article, a comprehensive survey of the state-of-the-art green caching techniques is provided. This review paper extensively discusses contributions of the existing studies on green caching. In addition, the study explores different cache-equipped network types, solution methods, and application scenarios. We categorically present that the optimal selection of the caching nodes, smart resource management, popular content selection, and renewable energy integration can substantially improve energy efficiency of the cache-equipped systems. In addition, based on the comprehensive analysis, we also highlight some potential research ideas relevant to green content caching.

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Section: B Activation Of Caching Units Based On Renewable Energy Supplymentioning

confidence: 99%

Section: B Caching-related Metrics 1) Cache Hit Ratiomentioning

confidence: 99%

Section: ) Spectral Efficiencymentioning

confidence: 99%

“…Cache hit ratio [24], [36], [40], [45], [52], [96], [123], [136], [153], [154], [161], [173], [177], [187], [217], [218] Hop counts [36], [113], [148], [149], [151], [180].…”

Section: Vehicular Communicationmentioning

confidence: 99%

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A Review on Green Caching Strategies for Next Generation Communication Networks

et al. 2020

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“…Therefore, until these problems are resolved, at least in the early days of wireless caching systems, a small number of special devices will have to play a major role rather than a large number of normal end devices. In this paper, a certified special device that has a content cache and can supply content to other end devices is referred to as a helper [25]- [27]. Assuming that only a small number of helpers with limited storage exist in the initial stages of wireless caching systems, efficient caching techniques are required to obtain satisfactory performance using only a limited number of these helpers.…”

Section: Introductionmentioning

confidence: 99%

Peak-Hour Caching Schemes of Mobile Devices for Overload Cells in Wireless Caching Systems

Kang

2020

IEEE Access

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In the case of broadband wireless communication systems with high carrier frequencies, high-speed wireless communication is feasible, but if high-capacity backhaul is not supplied to all base stations, a backhaul bottleneck may occur. To solve this backhaul bottleneck problem, one can use wireless caching or device-to-device (D2D) caching technology that installs a cache on a mobile end device, use the cache to store video content, and then supply the video content when requested by other end devices. Prior to peak traffic hours, video content can be stored on mobile end devices according to the content preferences, but it is difficult to solve cell overload problems that occur during peak traffic hours. This is because peak traffic hours can persist for a long time, and thus device positions, content preferences, and cell loads are liable to change during peak traffic hours. Providing broadband radio and high-capacity backhaul to all cells can create cost issues, but if there are some cells with broadband wireless resources and high-capacity backhaul, these cells may often support sufficient data even during peak traffic hours. If a mobile end device can intermittently enter a cell with sufficient data supply, it can update its cache using some short-term information. In this paper, we compare wireless caching schemes that update the caches of mobile end devices during peak traffic hours with the goal of reducing overload data. If high-capacity base stations are installed within a certain distance interval from each other to reduce the content update period, then good performance can be obtained by frequently updating the caches while considering the short-term content preferences of nearby overload cells. In addition, if a mobile device can predict its movement path, performance can be further improved by considering only the overload cells in the predicted path.

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Content Prefetching of Mobile Caching Devices in Cooperative D2D Communication Systems

Kang

2020

IEEE Access

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The increase of mobile traffic volume in a wireless network using high carrier frequency can lead to coverage and backhaul bottleneck issues, and these issues can be solved by the use of device-todevice (D2D) caching technology that installs a content cache on a device and uses D2D communication to supply contents to other devices. In this paper, a special device that can supply contents using D2D communication to other devices is called a helper, while a device that can receive contents from a helper is called user equipment (UE). Even though a helper may have a large storage capacity compared to a UE, the cache capacity of a helper is still limited, making it difficult to obtain a sufficient hit ratio using a caching scheme based on the long-term content popularity of a large number of UEs while considering the distant future. In this paper, to solve the problem of the conventional D2D caching system, we suggest instead updating the cache contents based on the short-term content preference of individual user for the near future. In the proposed caching scheme, a UE in an area with insufficient data supply predicts the content that will be consumed in the near future. This information is then passed to a mobile helper moving along a predictable travel path, such as a bus and a self-driving car that is passing through or will pass though an area with sufficient data supply. Then, the mobile helper prefetches the contents and moves to update the cache of the nomadic or fixed helper near the UE. The simulation results show that content prefetching considering each UE and the near future can achieve better performance than content caching considering a large number of UEs and the distant future.

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Device to Device Networks With Cache-Enabled and Self-Sustained Mobile Helpers

Cited by 9 publications

References 42 publications

A Review on Green Caching Strategies for Next Generation Communication Networks

A Review on Green Caching Strategies for Next Generation Communication Networks

Peak-Hour Caching Schemes of Mobile Devices for Overload Cells in Wireless Caching Systems

Content Prefetching of Mobile Caching Devices in Cooperative D2D Communication Systems

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