Energy Efficient Caching in Backhaul‐Aware Cellular Networks with Dynamic Content Popularity

Ji, Jiequ; Zhu, Kun; Wang, Ran; Chen, Bing; Dai, Chen

doi:10.1155/2018/7532049

Cited by 11 publications

(9 citation statements)

References 32 publications

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“…Further, many research works reveal that caching enabled networking can enhance the system performance [129][130][131][132][133][134][135][136][137][138]. Web caching led to content delivery networks (CDNs) that are capable of replicating content across the internet and reducing more than 50% of the data traffic that is directed to the remote main servers which helped in reducing the amount of backhaul traffic in the network [129].…”

Section: Cachingmentioning

confidence: 99%

“…Web caching led to content delivery networks (CDNs) that are capable of replicating content across the internet and reducing more than 50% of the data traffic that is directed to the remote main servers which helped in reducing the amount of backhaul traffic in the network [129]. Further, enabling caching in wireless networks is another means of achieving energy efficiency in the emerging networks [87,[129][130][131][132][133][134][135]. The power consumption for data transfer from a remote main server to the end user is higher than the data transfer from an intermediate cache node to the end user.…”

Section: Cachingmentioning

confidence: 99%

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A New Green Prospective of Non-orthogonal Multiple Access (NOMA) for 5G

et al. 2020

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Energy efficiency is a major concern in the emerging mobile cellular wireless networks since massive connectivity is to be expected with high energy requirements from the network operators. Non-orthogonal multiple access (NOMA) being the frontier multiple access scheme for 5G, there exists numerous research attempts on enhancing the energy efficiency of NOMA enabled wireless networks while maintaining its outstanding performance metrics such as high throughput, data rates and capacity maximized optimally.The concept of green NOMA is introduced in a generalized manner to identify the energy efficient NOMA schemes. These schemes will result in an optimal scenario in which the energy generated for communication is managed sustainably. Hence, the effect on the environment, economy, living beings, etc is minimized. The recent research developments are classified for a better understanding of areas which are lacking attention and needs further improvement. Also, the performance comparison of energy efficient, NOMA schemes against conventional NOMA is presented. Finally, challenges and emerging research trends, for energy efficient NOMA are discussed.

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Section: Cachingmentioning

confidence: 99%

Section: Cachingmentioning

confidence: 99%

A New Green Prospective of Non-orthogonal Multiple Access (NOMA) for 5G

et al. 2020

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“…Dynamic content popularity also plays a crucial rule in content replacement and reducing energy consumption [75]. For dynamic content popularity, the authors in [142] opti-mized cache size and hit-rate. The study also investigated the tradeoffs between cache size and energy requirements.…”

Section: B Green Caching Techniques For Content Placementmentioning

confidence: 99%

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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“…Meanwhile, a large portion of the mobile traffic is contributed by the duplicate transmission of the same contents, especially the popular video contents. Mobile edge caching, which means that the BS is equipped with a storage device cache of the popular content and serves users locally without backhaul transmission [6,7], has great potential to reduce the backhaul traffic burden. Due to the relatively low cost of installing storage device, mobile edge caching would be a cost-effective substitute solution to the high-speed backhaul link.…”

Section: Introductionmentioning

confidence: 99%

Multi-Location-Aware Joint Optimization of Content Caching and Delivery for Backhaul-Constrained UDN

Jing

Wen

et al. 2019

Sensors

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Mobile edge caching is regarded as a promising way to reduce the backhaul load of the base stations (BSs). However, the capacity of BSs’ cache tends to be small, while mobile users’ content preferences are diverse. Furthermore, both the locations of users and user-BS association are uncertain in wireless networks. All of these pose great challenges on the content caching and content delivery. This paper studies the joint optimization of the content placement and content delivery schemes in the cache-enabled ultra-dense small-cell network (UDN) with constrained-backhaul link. Considering the differences in decision time-scales, the content placement and content delivery are investigated separately, but their interplay is taken into consideration. Firstly, a content placement problem is formulated, where the uncertainty of user-BS association is considered. Specifically, different from the existing works, the specific multi-location request pattern is considered that users tend to send content requests from more than one but limited locations during one day. Secondly, a user-BS association and wireless resources allocation problem is formulated, with the objective of maximizing users’ data rates under the backhaul bandwidth constraint. Due to the non-convex nature of these two problems, the problem transformation and variables relaxation are adopted, which convert the original problems into more tractable forms. Then, based on the convex optimization methods, a content placement algorithm, and a cache-aware user association and resources allocation algorithm are proposed, respectively. Finally, simulation results are given, which validate that the proposed algorithms have obvious performance advantages in terms of the network utility, the hit ratio of the cache, and the quality of service guarantee, and are suitable for the cache-enabled UDN with constrained-backhaul link.

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Energy Efficient Caching in Backhaul‐Aware Cellular Networks with Dynamic Content Popularity

Cited by 11 publications

References 32 publications

A New Green Prospective of Non-orthogonal Multiple Access (NOMA) for 5G

A New Green Prospective of Non-orthogonal Multiple Access (NOMA) for 5G

A Review on Green Caching Strategies for Next Generation Communication Networks

Multi-Location-Aware Joint Optimization of Content Caching and Delivery for Backhaul-Constrained UDN

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