Centralized Caching and Delivery of Correlated Contents Over Gaussian Broadcast Channels

Yang, Qianqian; Hassanzadeh, Parisa; Gündüz, Deniz; Erkip, Elza

doi:10.1109/tcomm.2019.2950930

Cited by 5 publications

(3 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Various types of caching strategies like Markov Chain model-based universal caching [78], maximum distance separable (MDS) coded edge caching [82], mobility-aware greedy coded caching [83], proactive caching [85], and cooperative content caching [86] for NOMA systems have been proposed, and the performance of these methods is analyzed mostly in terms of a cache hit rate. Efficient caching techniques improve systems performance by reducing the cost of the link [78], content access delay [79], required transmit power [80], backhaul traffic load [82], [83], delivery latency [86], and enhancing successful decoding probability [81]. To deal with the sudden change in the popularity of the content and replace the cached content, the online content popularity prediction techniques like the popularity prediction model (PPM) and Grassmannian prediction model (GPM) [81], and popularity prediction cache model [79], [92] are proposed.…”

Section: B Caching Delivery Strategymentioning

confidence: 99%

A Survey on Cache-Aided NOMA for 6G Networks

Bepari¹,

Mondal²,

Chandra³

et al. 2022

Preprint

View full text Add to dashboard Cite

Contrary to orthogonal multiple-access (OMA), non-orthogonal multiple-access (NOMA) schemes can serve a pool of users without exploiting the scarce frequency or time domain resources. This is useful in meeting the sixth generation (6G) network requirements, such as, low latency, massive connectivity, users' fairness, and high spectral efficiency. On the other hand, content caching restricts duplicate data transmission by storing popular contents in advance at the network edge which reduces 6G data traffic. In this survey, we focus on cache-aided NOMA-based wireless networks which can reap the benefits of both cache and NOMA; switching to NOMA from OMA enables cache-aided networks to push additional files to content servers in parallel and improve the cache hit probability. Beginning with fundamentals of cache-aided NOMA technology, we summarize the performance goals of cache-aided NOMA systems, present the associated design challenges, and categorize related recent literature based on their application verticals. Concomitant standardization activities and open research challenges are highlighted as well.

show abstract

Section: B Caching Delivery Strategymentioning

confidence: 99%

A Survey on Cache-Aided NOMA for 6G Networks

Bepari¹,

Mondal²,

Chandra³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Centralized caching: It employs a central controller that possesses a global field of vision of entire network status in determining caching schemes. 5 Moreover, it can be able to obtain the optimal caching performance with optimal caching decisions. Nevertheless, it has faced a huge challenge with a bulk of mobile users in the 5G wireless networks.…”

Section: A Brief Review Of Mecsmentioning

confidence: 99%

q ‐Rung orthopair fuzzy decision‐making framework for integrating mobile edge caching scheme preferences

2021

View full text Add to dashboard Cite

Mobile edge caching scheme (MECS) can determine where, how, and what to cache on user equipment by employing its own storage. When considering the performance of MECS, it is often full of uncertainty. The q‐rung orthopair fuzzy set (q‐ROFS), characterized by membership and nonmembership degrees with adjustable parameter q, is quite a high‐efficiency way to capture uncertainty. In this paper, first, information measure (entropy, distance measure, and similarity measure)‐based area difference under the q‐rung orthopair fuzzy (q‐ROF) circumstance is studied along with their detailed proofs. Then, we present a comprehensive weight‐determination method by combining objective weights (determining by entropy) and subjective weights (given by experts) as combined weights, which can effectually alleviate the unconscionable influence of extreme data on evaluation results and simultaneously reflect objective data and subjective emotion. Moreover, q‐ROF score function‐based distance measure is presented for dealing with a value comparison problem. Later, q‐ROF multicriteria decision‐making (MCDM) method called total area based on orthogonal vector (TAOV) is introduced. Moreover, its feasibility is illustrated by MECS selection problem. Finally, a comparison of some existing MCDM methods and the proposed method is constructed for displaying their effectiveness. This proposed method can effectively avoid counterintuitive phenomena, eliminate antilogarithm by negative and zero issue, and has no division by zero issue.

show abstract

“…The controlling procedure of the caching units can be either centralized or distributed. In a centralized process, all the caching nodes are controlled by a central entity, which gathers required information and instructs the nodes to cache and serve specific content [105]- [107]. In a distributed technique, the networking nodes identify the most suitable content for caching and serve user requests locally [45], [108].…”

Section: Caching Strategiesmentioning

confidence: 99%

A Review on Green Caching Strategies for Next Generation Communication Networks

et al. 2020

View full text Add to dashboard Cite

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.

show abstract

Centralized Caching and Delivery of Correlated Contents Over Gaussian Broadcast Channels

Cited by 5 publications

References 26 publications

A Survey on Cache-Aided NOMA for 6G Networks

A Survey on Cache-Aided NOMA for 6G Networks

q ‐Rung orthopair fuzzy decision‐making framework for integrating mobile edge caching scheme preferences

A Review on Green Caching Strategies for Next Generation Communication Networks

Contact Info

Product

Resources

About