Exploiting Transmission and Caching Diversity in Cache-Enabled User-Centric Network: Analysis and Optimization

Chen, Ying; Zhang, Hongtao

doi:10.1109/access.2019.2917638

Cited by 5 publications

(3 citation statements)

References 23 publications

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“…As shown in Figure 5 , user-centric network organizes a dynamic BS group for each MD, and the range of the BS group is the radius RS to RM. Chen et al [ 71 ] used the random set method to derive the relationship between the average outage probability and the BS-to-MD density ratio, cache size and BS group radius, and found the optimal caching distribution. They optimized the lower bound of the average outage probability under the constraint of cache size and obtained higher performance gains from BSs within the BS group.…”

Section: Caching Policiesmentioning

confidence: 99%

A Comprehensive Review on Edge Caching from the Perspective of Total Process: Placement, Policy and Delivery

Fan

Wang

et al. 2021

Sensors

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With the explosive growth of smart devices and mobile applications, mobile core networks face the challenge of exponential growth in traffic and computing demand. Edge caching is one of the most promising solutions to the problem. The main purpose of edge caching is to place popular content that users need at the edge of the network, borrow free space to reduce user waiting time, and lighten the network load by reducing the amount of duplicate data. Due to the promising advantages of edge caching, there have been many efforts motivated by this topic. In this paper, we have done an extensive survey on the existing work from our own perspectives. Distinguished from the existing review articles, our work not only investigates the latest articles in this area, but more importantly, covers all the researches of the total process of edge caching from caching placement optimization, policy design, to the content delivery process. In particular, we discuss the benefits of caching placement optimization from the perspective of different stakeholders, detail the delivery process, and conduct in-depth discussions from the five phases, i.e., requested content analysis, user model analysis, content retrieval, delivery, and update. Finally, we put forward several challenges and potential future directions, and hope to bring some ideas for the follow-up researches in this area.

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Section: Caching Policiesmentioning

confidence: 99%

A Comprehensive Review on Edge Caching from the Perspective of Total Process: Placement, Policy and Delivery

Fan

Wang

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…Furthermore, there are several studies regarding energy efficiency or consumption of the different caching schemes [13][14][15][16] as well as taking into account the traffic load of the wireless links [17,18]. Methods that reduce traffic load by optimizing the offloading probability or gain can be found in [19][20][21].…”

Section: Related Workmentioning

confidence: 99%

A wireless caching helper system with heterogeneous traffic and random availability

Avgouleas

Παππάς

Angelakis

2021

J Wireless Com Network

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Multimedia content streaming from Internet-based sources emerges as one of the most demanded services by wireless users. In order to alleviate excessive traffic due to multimedia content transmission, many architectures (e.g., small cells, femtocells, etc.) have been proposed to offload such traffic to the nearest (or strongest) access point also called “helper”. However, the deployment of more helpers is not necessarily beneficial due to their potential of increasing interference. In this work, we evaluate a wireless system which can serve both cacheable and non-cacheable traffic. More specifically, we consider a general system in which a wireless user with limited cache storage requests cacheable content from a data center that can be directly accessed through a base station. The user can be assisted by a pair of wireless helpers that exchange non-cacheable content as well. Files not available from the helpers are transmitted by the base station. We analyze the system throughput and the delay experienced by the cached user and show how these performance metrics are affected by the packet arrival rate at the source helper, the availability of caching helpers, the caches’ parameters, and the user’s request rate by means of numerical results.

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“…Furthermore, there are several studies regarding energy efficiency or consumption of the different caching schemes [13]- [16] as well as taking into account the traffic load of the wireless links [17], [18]. Methods that reduce traffic load by optimizing the offloading probability or gain can be found in [19]- [21].…”

Section: A Related Workmentioning

confidence: 99%

Wireless Caching Helper System with Heterogeneous Traffic and Random Availability

Avgouleas¹,

Παππάς²,

Angelakis³

2019

Preprint

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Multimedia content streaming from Internet-based sources emerges as one of the most high demanded services by wireless users. In order to alleviate excessive traffic due to multimedia content transmission, many architectures (e.g., small cells, femtocells, etc.) have been proposed to offload such traffic to the nearest (or strongest) access point also called "helper". The deployment of more helpers is not necessarily beneficial due to their potential of increasing interference. In this work, we evaluate a wireless system in which we distinguish between cachable and non-cachable traffic. More specifically, we consider a general system in which a wireless user with limited cache storage requests cachable content from a data center that can be directly accessed through a base station. The user can be assisted by a pair of wireless helpers that exchange non-cachable content as well. Packets arrive at the queue of the source helper in bursts. Each helper has its own cache to assist the user's requests for cachable content. Files not available from the helpers are transmitted by the base station. We analyze the system throughput and the delay experienced by the user and show how they are affected by the packet arrival rate at the source helper, the availability of caching helpers, the caches' parameters, and the user's request rate by means of numerical results.

show abstract

Exploiting Transmission and Caching Diversity in Cache-Enabled User-Centric Network: Analysis and Optimization

Cited by 5 publications

References 23 publications

A Comprehensive Review on Edge Caching from the Perspective of Total Process: Placement, Policy and Delivery

A Comprehensive Review on Edge Caching from the Perspective of Total Process: Placement, Policy and Delivery

A wireless caching helper system with heterogeneous traffic and random availability

Wireless Caching Helper System with Heterogeneous Traffic and Random Availability

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