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Journal ArticleDOI

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

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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.

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Citations
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Deep Learning for Edge Computing Applications: A State-of-the-Art Survey

TL;DR: A comprehensive survey of the latest efforts on the deep-learning-enabled edge computing applications and insights on how to leverage the deep learning advances to facilitate edge applications from four domains, i.e., smart multimedia, smart transportation, smart city, and smart industry are provided.
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Network service orchestration standardization

TL;DR: This paper surveys existing standardization efforts for the orchestration - automation, coordination, and management - of complex set of network and function resources (both physical and virtual), and highlights the various enabling technologies, strengths and weaknesses, adoption challenges for operators, and areas where further research is required.
Journal ArticleDOI

Proactive content caching by exploiting transfer learning for mobile edge computing

TL;DR: A proactive caching mechanism named learning‐based cooperative caching (LECC) strategy based on mobile edge computing architecture to reduce transmission cost while improving user quality of experience for future mobile networks is proposed.
Journal ArticleDOI

Optimized Content Caching and User Association for Edge Computing in Densely Deployed Heterogeneous Networks

TL;DR: In this article , a joint content caching and user association optimization problem is formulated to minimize the content download latency, and a joint CC and UA optimization algorithm (JCC-UA) is proposed.
Journal ArticleDOI

Resource Allocation in NOMA-Based Fog Radio Access Networks

TL;DR: In this article, the authors proposed an architecture of NOMA-based F-RANs that has strong capability of edge computing and can meet the heterogeneous requirements in 5G/6G systems.
References
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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.
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