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Multi-Access Edge Computing in 5G
2021Multi-access edge computing (MEC) is instrumental in meeting the challenging demands for 5G, especially for the 5QI needs from ultra-reliable low-latency communication (uRLLC).
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UAV-Aided Low Latency Multi-Access Edge Computing
IEEE Transactions on Vehicular Technology, 2021As an emerging technique, unmanned aerial vehicle (UAV) aided multi-access edge computing (MEC) network has been improving the performance of the communication network. The novel architecture is beneficial for coverage, flexibility, and reliability. However, reducing network latency is a critical issue. In this paper, we design a UAV-aided network with
Ye Yu +5 more
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Towards Multi-Access Edge Based Vehicular Fog Computing Architecture
2018 IEEE Global Communications Conference (GLOBECOM), 2018In this paper, we propose a multi-access edge based vehicular fog architecture. It is based on the integration of fog computing (FC) and multi-access edge computing (MEC) with the vehicular cloud. The aim of this architecture is the exploitation of unused vehicular resources and infrastructure equipment to bring the cloud at the proximity of users. The
Mekki, Tesnim +3 more
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Multimedia broadcasting in multi-access edge computing
2017 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS), 2017Multi-access Edge Computing (MEC) provides an environment with distributed cloud capabilities in the Radio Access Network. The vicinity to end users enables deployment of optimized services with minimum latency and location-based multimedia broadcasting.
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Evaluation of Multi-access Edge Computing Deployment Scenarios
2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON), 2019Multi-access Edge Computing (MEC) and Centralized Radio Access Network (C-RAN) appear to be key and complementary technologies for fifth generation mobile networks. In this paper, we study two MEC and C-RAN deployment scenarios by evaluating the signaling reduction for mobility management and session management procedures, and discuss the MEC potential
Evelina Pencheva +3 more
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5G & Multi Access Edge Computing
International Journal of Sciences and Emerging TechnologiesThis paper explains about 5G technology and the growing number of Internet of Things (IoT) devices that are changing the way we communicate and process data. 5G is designed to improve not only the communication speed but also control, computing, and content delivery. It enables the users to use new applications like mobile gaming, augmented reality (AR)
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Latency Aware Placement in Multi-access Edge Computing
2018 4th IEEE Conference on Network Softwarization and Workshops (NetSoft), 2018Multi-access Edge Computing (MEC) is a new network architecture that allows applications and network services to be executed at the edge of the network. This is done by running these services on commodity servers that are placed in close proximity to the network edge and to the cellular base stations in wireless networks.
Dor Harris, Joseph Naor, Danny Raz
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CDN Convergence Based on Multi-access Edge Computing
2018 10th International Conference on Wireless Communications and Signal Processing (WCSP), 2018Content Delivery Network (CDN) has achieved great success in the past decades and serves a large portion of Internet traffic nowadays. However, due to the different architectures of fixed network and mobile network, there is a large gap in terms of CDN resources (servers and contents) between traditional CDN and mobile CDN, and the user experience in ...
Zhouyun Wu +3 more
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Resource Management in Multi-Access Edge Computing (MEC)
2021This PhD thesis investigates the effective ways of managing the resources of a Multi-Access Edge Computing Platform (MEC) in 5th Generation Mobile Communication (5G) networks. The main characteristics of MEC include distributed nature, proximity to users, and high availability.
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Multi-Access Edge Computing for Urban Informatics
Proceedings of the 23rd International Conference on Distributed Computing and Networking, 2022Suchetana Chakraborty, Radhika Sukapuram
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