A hybrid resource allocation approach for 5G IOT applications

Dr. Mohammad Alkandari; Lamis  Waleed; Jassim  AlFadhli

Article Details

A hybrid resource allocation approach for 5G IOT applications

Authors:

Dr. Mohammad Alkandari | Lamis Waleed | Jassim AlFadhli

Publisher:

Kuwait University

Journal:

Journal of Engineering Research Vol.10 Issue 2A, pp.0-0

Document Type:

Article

Publication Date:

1/2022

Document Language:

English

Document ID (Org No.):

2001942263

pISSN:

2307-1885

Abstract:

 5G cellular network expects to sustain various QoS (Quality of Service) requirements and provide customers with multiple services based on their requirements. Implementing 5G networks in an IoT (Internet of Things) infrastructure can help serve the requirements of the IoT devices in a 100x faster and more efficient manner. This objective can be accomplished by applying the network slicing approach, where it partitions a single physical infrastructure into multiple virtual resources that can be distributed among different devices independently. This paper merges the benefits of both the static allocation and the network slicing approach to propose a mechanism that can allocate resources efficiently among multiple customers. The allocation mechanism based on a pre-defined policy between the slice provider and the customer is to specify the attributes that will be computed before any allocation process. Network slicing is the idiosyncratic latest 5G technology that produces potential diverse requirements to sustain the traditional network infrastructure's adequate granularity level. The main objective of this paper is to present a simulation suite for a network consists of base stations, including clients whose probable scenarios of 5G can attain high standards of network operation plus perform a better and easier analysis of various concepts.

Article Details

A hybrid resource allocation approach for 5G IOT applications

Authors: Dr. Mohammad Alkandari | Lamis Waleed | Jassim AlFadhli

Publisher: Kuwait University

Journal: Journal of Engineering Research Vol.10 Issue 2A, pp.0-0

Document Type: Article

Publication Date: 1/2022

Document Language: English

Document ID (Org No.): 2001942263

pISSN: 2307-1885

Issues

Authors:

Dr. Mohammad Alkandari | Lamis Waleed | Jassim AlFadhli

Publisher:

Kuwait University

Journal:

Journal of Engineering Research Vol.10 Issue 2A, pp.0-0

Document Type:

Article

Publication Date:

1/2022

Document Language:

English

Document ID (Org No.):

2001942263

pISSN:

2307-1885