Proceedings Article10.23919/ICACT.2018.8323811
5G framework based on multi-level edge computing with D2D enabled communication
Abdelhamied A. Ateya,Ammar Muthanna,Andrey Koucheryavy +2 more
- 01 Feb 2018
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TL;DR: This work proposes a frame work for the 5G cellular system based on D2D communication and multi-level cloud units employed at the edge of the cellular network that achieves varies benefits to the system as the system level simulation provides.
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Abstract: There is no doubt that the release of the fifth generation of the mobile cellular system (5G) becomes a great demand year by year, especially with the massive increase of heterogeneous Wireless devices. The 5G network will be a platform for wide variety of industries. Designing of 5G cellular system faces various challenges related to the capacity and traffic. One way to solve these challenges is to employ device-to-device (D2D) communication and mobile edge computing (MEC). Employing these technologies offload the core network and increase the capacity of the system. In this work, we propose a frame work for the 5G cellular system based on D2D communication and multi-level cloud units employed at the edge of the cellular network. The system employs four levels of cloud units with various hardware capabilities. The D2D communication is used as the communication technology in the first level of clouds. Employing D2D together with multi-level edge cloud units achieves varies benefits to the system as the system level simulation provides.
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Citations
Device-Enhanced MEC: Multi-Access Edge Computing (MEC) Aided by End Device Computation and Caching: A Survey
TL;DR: This article comprehensively surveys the topic area of device-enhanced MEC mechanisms, i.e., mechanisms that jointly utilize the resources of the community of end devices and the installed MEC to provide services to end devices.
Secure and Reliable IoT Networks Using Fog Computing with Software-Defined Networking and Blockchain
Ammar Muthanna,Abdelhamied A. Ateya,Abdukodir Khakimov,Irina A. Gudkova,Abdelrahman Abuarqoub,Konstantin E. Samouylov,Andrey Koucheryavy +6 more
TL;DR: A framework for IoT is presented that employs an edge computing layer of Fog nodes controlled and managed by an SDN network to achieve high reliability and availability for latency-sensitive IoT applications and achieves higher efficiency in terms of latency and resource utilization.
148
CE-IoT: Cost-Effective Cloud-Edge Resource Provisioning for Heterogeneous IoT Applications
TL;DR: Through rigorous theoretical analysis, it is proved that without violating both the hard and soft deadlines of heterogeneous IoT applications, the long-term operational cost can be pushed arbitrarily close to the offline optimum of the proposed cloud-edge resource provisioning framework.
68
Study of 5G Services Standardization: Specifications and Requirements
Abdelhamied A. Ateya,Ammar Muthanna,Maria Makolkina,Andrey Koucheryavy +3 more
- 01 Nov 2018
TL;DR: This work reviews all 5G uses cases announced by the 3GPP release 14 and 15 for the 5G systems including their specifications and requirements and some main use cases are introduced including their deployment scenarios and potential services requirements.
54
Distributed Edge Computing to Assist Ultra-Low-Latency VANET Applications
TL;DR: This work provides a novel system based on mobile edge computing (MEC) to solve the problem of high traffic density and provides and offloading path to vehicle’s traffic and reduces the total latency of data communicated between vehicles and stationary roadside units (RSUs).
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