scispace - formally typeset
Journal ArticleDOI

Cache in the air: exploiting content caching and delivery techniques for 5G systems

Reads0
Chats0
TLDR
A novel edge caching scheme based on the concept of content-centric networking or information-centric networks is proposed and evaluated, using trace-driven simulations to evaluate the performance of the proposed scheme and validate the various advantages of the utilization of caching content in 5G mobile networks.
Abstract
The demand for rich multimedia services over mobile networks has been soaring at a tremendous pace over recent years. However, due to the centralized architecture of current cellular networks, the wireless link capacity as well as the bandwidth of the radio access networks and the backhaul network cannot practically cope with the explosive growth in mobile traffic. Recently, we have observed the emergence of promising mobile content caching and delivery techniques, by which popular contents are cached in the intermediate servers (or middleboxes, gateways, or routers) so that demands from users for the same content can be accommodated easily without duplicate transmissions from remote servers; hence, redundant traffic can be significantly eliminated. In this article, we first study techniques related to caching in current mobile networks, and discuss potential techniques for caching in 5G mobile networks, including evolved packet core network caching and radio access network caching. A novel edge caching scheme based on the concept of content-centric networking or information-centric networking is proposed. Using trace-driven simulations, we evaluate the performance of the proposed scheme and validate the various advantages of the utilization of caching content in 5G mobile networks. Furthermore, we conclude the article by exploring new relevant opportunities and challenges.

read more

Citations
More filters
Journal ArticleDOI

Resource allocation optimization using artificial intelligence methods in various computing paradigms: A Review

TL;DR: A comprehensive literature review on the application of deep learning and machine learning methods for resource allocation optimization in computational paradigms to provide a comprehensive update on resource allocation issues in the contemporary computing landscape.

Edge-Facilitated Mobile Computing and Communication

Pengyuan Zhou
TL;DR: This thesis proposes solutions to improve edge resource utilization regarding general edge systems and presents solutions for mobile edge systems specifically for three most promising use cases, i.e., Connected Vehicles, Mobile AR (MAR) and Smart city (tra c control).
Posted Content

On Optimal Proactive and Retention-Aware Caching with User Mobility

TL;DR: In this paper, the authors address proactive and retention-aware caching with user mobility, optimizing the sum of the two types of costs, and derive a stream of analytical results and they together lead to an algorithm that guarantees global optimum with polynomial time complexity.
Journal ArticleDOI

Interference Management in Cache-Enabled Stochastic Networks: A Content Diversity Approach

TL;DR: This work proposes a novel interference management scheme to eliminate the interference by exploiting the content diversity in a stochastic cache-enabled network where some users have caching ability to store the most popular packets.
Journal ArticleDOI

Cooperation and information replication in wireless networks.

TL;DR: An overview of caching is provided with a particular emphasis on emerging network architectures that enable caching at the radio access network, which has a great potential in removing bottlenecks on the wired backbone networks.
References
More filters
Journal ArticleDOI

Device-to-device communication as an underlay to LTE-advanced networks

TL;DR: Device-to-device (D2D) communication underlaying a 3GPP LTE-Advanced cellular network is studied as an enabler of local services with limited interference impact on the primary cellular network.
Journal ArticleDOI

A survey of information-centric networking

TL;DR: This work compares and discusses design choices and features of proposed ICN architectures, focusing on the following main components: named data objects, naming and security, API, routing and transport, and caching.
Proceedings ArticleDOI

FemtoCaching: Wireless video content delivery through distributed caching helpers

TL;DR: The theoretical contribution of this paper lies in formalizing the distributed caching problem, showing that this problem is NP-hard, and presenting approximation algorithms that lie within a constant factor of the theoretical optimum.
Posted Content

FemtoCaching: Wireless Video Content Delivery through Distributed Caching Helpers

TL;DR: In this paper, the authors propose a system where helpers with low-rate backhaul but high storage capacity cache popular video files, and analyze the optimum way of assigning files to the helpers in order to minimize the expected downloading time for files.
Proceedings ArticleDOI

SoftCell: scalable and flexible cellular core network architecture

TL;DR: The presented SoftCell is a scalable architecture that supports fine-grained policies for mobile devices in cellular core networks, using commodity switches and servers, and enables operators to realize high-level service policies that direct traffic through sequences of middleboxes based on subscriber attributes and applications.
Related Papers (5)