Zone-Based Cooperative Content Caching and Delivery for Radio Access Network With Mobile Edge Computing

Content caching at the base station of the Radio Access Network (RAN) is a way to reduce backhaul transmission and improve the quality of experience. So it is crucial to manage such massive microcaches to store the contents in a coordinated manner, in order to increase the overall mobile network capacity to support more number of requests. We achieve this goal in this paper with a novel caching scheme, which reduces the repeating traffic by request filtration and asynchronous multicast in a RAN. Request filtration can make the best use of the limited bandwidth and in turn ensure the good performance of the coordinated caching. Moreover, the storage at the mobile devices is also considered to be used to further reduce the backhaul traffic and improve the users’ experience. In addition, we drive the optimal cache division in this paper with the aim of reducing the average latency user perceived. The simulation results show that the proposed scheme outperforms existing algorithms.

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An Edge Computing Empowered Radio Access Network with UAV-Mounted FSO Fronthaul and Backhaul: Key Challenges and Approaches

IEEE Wireless Communications ◽

10.1109/mwc.2018.1700419 ◽

2018 ◽

Vol 25 (3) ◽

pp. 154-160 ◽

Cited By ~ 20

Author(s):

Yanjie Dong ◽

Md. Zoheb Hassan ◽

Julian Cheng ◽

Md. Jahangir Hossain ◽

Victor C. M. Leung

Keyword(s):

Access Network ◽

Edge Computing ◽

Radio Access Network ◽

Radio Access

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Programmability of Connectivity Control

Elektronika ir Elektrotechnika ◽

10.5755/j02.eie.28819 ◽

2021 ◽

Vol 27 (2) ◽

pp. 78-85

Author(s):

Ivaylo I. Atanasov ◽

Evelina N. Pencheva

Keyword(s):

Access Network ◽

Edge Computing ◽

Core Network ◽

Access Technology ◽

Radio Access Network ◽

Radio Access Technology ◽

Fifth Generation ◽

Radio Access ◽

Multi Access ◽

Network Interfaces

Network programmability and edge computing as key features of next generation communications enable innovative services. While the programmability is focused on the core network of the fifth-generation system, the edge computing moves the network intelligence to the radio access network. This paper presents a study on the programmability of connectivity control as a function of radio access network using Multi-access Edge Computing. The capability of using more than one radio access technology simultaneously enhances reliability and increases the throughput, especially in dense networks. Opening the radio access network interfaces for programmability of multi-connectivity enables analytics applications to control the device connections to multiple radio links simultaneously based on information of radio conditions, user location or specific policies. The research novelty is in opening the radio access network interfaces for edge applications to access connectivity control.

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An Intelligent Real-Time Traffic Control Based on Mobile Edge Computing for Individual Private Environment

Security and Communication Networks ◽

10.1155/2020/8881640 ◽

2020 ◽

Vol 2020 ◽

pp. 1-11

Author(s):

Sa Math ◽

Lejun Zhang ◽

Seokhoon Kim ◽

Intae Ryoo

Keyword(s):

Real Time ◽

Optical Networks ◽

Traffic Control ◽

Access Network ◽

Computer Software ◽

Edge Computing ◽

Mobile Edge Computing ◽

Great Opportunity ◽

Real Time Traffic ◽

Radio Access

The existence of Mobile Edge Computing (MEC) provides a novel and great opportunity to enhance user quality of service (QoS) by enabling local communication. The 5th generation (5G) communication is consisting of massive connectivity at the Radio Access Network (RAN), where the tremendous user traffic will be generated and sent to fronthaul and backhaul gateways, respectively. Since fronthaul and backhaul gateways are commonly installed by using optical networks, the bottleneck network will occur when the incoming traffic exceeds the capacity of the gateways. To meet the requirement of real-time communication in terms of ultralow latency (ULL), these aforementioned issues have to be solved. In this paper, we proposed an intelligent real-time traffic control based on MEC to handle user traffic at both gateways. The method sliced the user traffic into four communication classes, including conversation, streaming, interactive, and background communication. And MEC server has been integrated into the gateway for caching the sliced traffic. Subsequently, the MEC server can handle each user traffic slice based on its QoS requirements. The evaluation results showed that the proposed scheme enhances the QoS and can outperform on the conventional approach in terms of delays, jitters, and throughputs. Based on the simulated results, the proposed scheme is suitable for improving time-sensitive communication including IoT sensor’s data. The simulation results are validated through computer software simulation.

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An Adaptive Replica Configuration Mechanism Based on Predictive File Popularity and Queue Balance in Mobile Edge Computing Environment

10.21203/rs.3.rs-851015/v1 ◽

2021 ◽

Author(s):

Mao-Lun Chiang ◽

Hui-Ching Hsieh ◽

Ting-Yi Chang ◽

Wei-Ling Lin ◽

Hong-Wei Chen

Keyword(s):

Access Network ◽

Edge Computing ◽

The Internet ◽

Mobile Edge Computing ◽

Radio Access ◽

Mobile Big Data ◽

Short Period ◽

Network Delays ◽

Cloud Network ◽

And Storage

Abstract In the current era of the Internet of Things (IoT), various devices can provide more services by connecting to the Internet. However, the explosive growth of connected devices will cause the cloud core overload and significant network delays. To overcome these problems, the Mobile Edge Computing (MEC) network is proposed to provide most of the computing and storage near the radio access network to reduce the traffic of the core cloud network and provide lower latency for the terminal.Mobile edge computing can work with third parties to develop multiple services, such as mobile big data analysis and context-aware services. However, when there is a large amount of popular data accessed in a short period, the system must generate many replicas, which will not only reduce access efficiency but also cause additional traffic overhead. To improve the above problems, an Adaptive Replica Configuration Mechanism (ARCM) is proposed in this paper to predict the popularity of the file and make a replica to the low-blocking node. This method spreads the subsequent access workload by copying the popular file in advance to improve the overall performance of the system.

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