Mobile Edge Computing for the 5G Internet of Things

Huang, Haojun; Miao, Wang; Min, Geyong; Luo, Chunbo

doi:10.1201/9780429199820-7

Cited by 5 publications

(4 citation statements)

References 14 publications

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“…Using artificial intelligence to quickly execute actions using algorithms based on the large amount of data collected by machines, helps manufacturing enterprises achieve production automation and intelligence, and improves production efficiency and quality. 5G mobile communication technology is the information transmission foundation for the development of the Internet of Things industry [10]. Use 5G technology to support the operation of the Industrial internet of things and promote the rapid development of intelligent manufacturing with its fast, high capacity, wireless flexibility and low latency.…”

Section: Digital Transformation Trend Of Manufacturing Industrymentioning

confidence: 99%

Challenges and Optimization Path of Digital Transformation of Manufacturing Industry

2023

msom

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With the continuous development and improvement of digital technologies such as the Internet, information and data resources have become the key factors determining market share and play a core value role in enterprise development. Traditional manufacturing enterprises are facing the dilemma of gradually falling into market passivity, and their traditional business and production models are difficult to sustain. Therefore, they need to use digital technology to complete enterprise transformation in order to achieve sustainable development. This paper introduces the concept and motivation of Digital transformation of manufacturing industry, analyzes the current status and challenges of Digital transformation of manufacturing industry, studies the optimal application of digital technology in the production and operation of manufacturing industry, summarizes the trend and five optimization paths of Digital transformation of manufacturing industry, and hopes to have a certain impact on the exploration and development of Digital transformation of manufacturing industry.

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Section: Digital Transformation Trend Of Manufacturing Industrymentioning

confidence: 99%

Challenges and Optimization Path of Digital Transformation of Manufacturing Industry

2023

msom

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“…5G has been appreciated as the most important wireless cellular network that is expected to satisfy the requirements of next-generation networks [33]. There are three main characteristics in 5G networks that are not observed in the previous generations [34] [17]. As the first characteristic, 5G networks generate a massive amount of data.…”

Section: Edge Computing In 5g and Beyondmentioning

confidence: 99%

Design and Simulation of a Hybrid Architecture for Edge Computing in 5G and Beyond

Rahimi,

Picaud,

Costanzo

et al. 2020

Preprint

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Edge Computing in 5G and Beyond is a promising solution for ultra-low latency applications (e.g. Autonomous Vehicle, Augmented Reality, and Remote Surgery), which have an extraordinarily low tolerance for the delay and require fast data processing for a very high volume of data. The requirements of delay-sensitive applications (e.g. Low latency, proximity, and Location/Context-awareness) cannot be satisfied by Cloud Computing due to the high latency between User Equipment and Cloud. Nevertheless, Edge Computing in 5G and beyond can promise an ultra-high-speed caused by placing computation capabilities closer to endpoint devices, whereas 5G encourages the speed rate that is 200 times faster than 4G LTE-Advanced. This paper deeply investigates Edge Computing in 5G and characterizes it based on the requirements of ultra-low latency applications. As a contribution, we propose a hybrid architecture that takes advantage of novel and sustainable technologies (e.g. D2D communication, Massive MIMO, SDN, and NFV) and has major features such as scalability, reliability and ultra-low latency support. The proposed architecture is evaluated based on an agent-based simulation that demonstrates it can satisfy requirements and has the ability to respond to high volume demands with low latency.

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“…MEC can be thought of as a cloud server running on the edge of a mobile network to perform special tasks that are not possible in traditional network infrastructure. MEC transforms base stations into intelligent service centers that deliver highly personalized, diverse network services directly at the edge of the network and at the same time, optimal mobile network performance is ensured [30], [31]. MEC is the natural evolution of mobile base station development and the convergence of internet technology and telecommunications networks.…”

Section: Establishment Of Network a Mobile Edge Computingmentioning

confidence: 99%

Optimization of Network-Based Caching and Forwarding Using Mobile Edge Computing

Liu

Shi

2019

IEEE Access

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The rapid growth of mobile network traffic has brought great pressure and challenge to the current mobile network, and the backhaul network pressure is huge. The surge in mobile network traffic makes the mobile backhaul link under pressure and the bandwidth resources are very tight. The content is transmitted repeatedly which can increase the load of network resources. The current mobile network also adopts the end-to-end transmission mechanism, which makes a large number of popular content repeated transmission. The network delay is large, and the user experience is not so good. Thus, this study proposes to use mobile edge computing to solve this issue. To this issue, the deployment of computing and caching resources using mobile edge computing has become the focus of academic and industry attention. This technology can provide users the access to the nearest network and business services. In order to avoid network congestion and load balancing, the joint optimization of data caching and request forwarding is considered, and the random optimization model is used to limit network stability to minimize average transmission cost. This study also proposed an optimization technology to largely improve the performance of network. Using Liapunov optimization technology, the joint optimization problem is changed to linear planning problems, and the design of real-time caching and forwarding online algorithms. The results of the simulation experiment show that the algorithm can realize congestion avoidance and load balancing with reducing transmission cost. INDEX TERMS Edge computing, caching and forwarding, Lyapunov optimization, stability.

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Mobile Edge Computing for the 5G Internet of Things

Cited by 5 publications

References 14 publications

Challenges and Optimization Path of Digital Transformation of Manufacturing Industry

Challenges and Optimization Path of Digital Transformation of Manufacturing Industry

Design and Simulation of a Hybrid Architecture for Edge Computing in 5G and Beyond

Optimization of Network-Based Caching and Forwarding Using Mobile Edge Computing

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