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Journal ArticleDOI

Recent Advances of Edge Cache in Radio Access Networks for Internet of Things: Techniques, Performances, and Challenges

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TLDR
This paper comprehensively surveys the recent advances of the edge cache in RANs, including the key techniques and the corresponding performances, and an advanced hierarchical edge cache structure is presented.
Abstract
The edge cache is an effective way to reduce the heavy traffic load and the end-to-end latency in radio access networks (RANs) for supporting a number of critical Internet of Things (IoT) services and applications. It has been verified to provide high spectral efficiency (SE), high energy efficiency (EE), and low latency. Along with several key techniques that have been applied, such as device-to-device communication and predictive caching, the edge cache techniques in RANs for IoT are becoming diversified. This paper comprehensively surveys the recent advances of the edge cache in RANs, including the key techniques and the corresponding performances. In particular, the key techniques are presented from the viewpoints of the deployment location of edge caches, content placement strategy, and coded caching. An advanced hierarchical edge cache structure is presented, and the main impacts on SE, EE, and latency of the key techniques are mainly summarized. Several open issues and challenges are identified as well to spur future investigations, in which the joint optimization of radio and cache resources, the edge cache with mobile edge computing and network intelligence, privacy, and security are discussed.

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Citations
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Journal ArticleDOI

Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence

TL;DR: In this paper, the authors divide edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge), and provide insights into this new interdisciplinary field from a broader perspective.
Journal ArticleDOI

Toward Tactile Internet in Beyond 5G Era: Recent Advances, Current Issues, and Future Directions

TL;DR: In this paper, the authors provide a holistic view on wireless tactile Internet (TI) along with a thorough review of the existing state-of-the-art, to identify and analyze the involved technical issues, to highlight potential solutions and to propose future research directions.
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Robust Design for Intelligent Reflecting Surface-Assisted MIMO-OFDMA Terahertz IoT Networks

TL;DR: This article considers an IRS-aided multiuser THz MIMO system with orthogonal frequency-division multiple (OFDM) access, where the sparse radio frequency chain antenna structure is adopted for reducing the power consumption.
Journal ArticleDOI

Modified DenseNet for Automatic Fabric Defect Detection With Edge Computing for Minimizing Latency

TL;DR: A deep-learning-based fabric defect detection method for edge computing scenarios is proposed and compared with the conventional convolutional neural network (CNN), the proposed optimized model attains an average improvement of 18% in the area under the curve (AUC) metric for 11 defects.
Journal ArticleDOI

A Survey of ICN Content Naming and In-Network Caching in 5G and Beyond Networks

TL;DR: Different next-generation active technologies to enable the big picture of 5G, including mobile-edge computing (MEC), software-defined networking (SDN), and network function virtualization (NFV) are introduced, and the need for ICN and its coexistence within this ecosystem is discussed.
References
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Interference Alignment and Degrees of Freedom of the $K$ -User Interference Channel

TL;DR: For the fully connected K user wireless interference channel where the channel coefficients are time-varying and are drawn from a continuous distribution, the sum capacity is characterized as C(SNR)=K/2log (SNR)+o(log( SNR), which almost surely has K/2 degrees of freedom.
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Femtocell networks: a survey

TL;DR: The technical and business arguments for femtocells are overview and the state of the art on each front is described and the technical challenges facing femtocell networks are described and some preliminary ideas for how to overcome them are given.
Journal ArticleDOI

Mobile Edge Computing: A Survey on Architecture and Computation Offloading

TL;DR: This paper describes major use cases and reference scenarios where the mobile edge computing (MEC) is applicable and surveys existing concepts integrating MEC functionalities to the mobile networks and discusses current advancement in standardization of the MEC.
Journal ArticleDOI

Mobile Edge Computing: A Survey on Architecture and Computation Offloading

TL;DR: In this paper, the authors present a survey of the research on computation offloading in mobile edge computing (MEC), focusing on user-oriented use cases and reference scenarios where the MEC is applicable.
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Living on the Edge: The Role of Proactive Caching in 5G Wireless Networks

TL;DR: In this article, a proactive caching mechanism is proposed to reduce peak traffic demands by proactively serving predictable user demands via caching at base stations and users' devices, and the results show that important gains can be obtained for each case study, with backhaul savings and a higher ratio of satisfied users.
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