Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/18640
Title: Resource Allocation and Management in Machine-to-Machine (M2M) Communication in Underlay In-Band Cellular Network: A Survey
Authors: Suleiman, A. D.
Mohammed, A. S.
Salihu, Bala A.
David, Michael
Keywords: 5G, Machine-to-Machine (M2M) Communication, Resource Allocation, Spectrum, Power, Interference
Issue Date: 22-Mar-2023
Publisher: Schools of Engineering Technology Federal University of Technology Minna
Abstract: The adoption of 5G network standard as the next futuristic network has dynamically shaped the path for new features in communication standards, with support for integration of variegated device with different service Quality-of-service requirements. The tends to support massive connectivity of devices with delay tolerant requirements and specific quality of service requirement which also support various Internet-of-Things (IoTs), Device-to-Device (D2D) Communication, Machine-to-Machine (M2M) Communications and several other applications. M2M communication when underlaid with cellular communications are faced with compromising challenges when integrated into cellular networks. Due to their proximity in close location, the M2M user devices can communicate with one another without utilizing the Base Station and this enhances the spectral efficiency, reduces in the latency, energy efficiency and several benefits of M2M communications. However, there are more impending challenges which can compromise the benefits of M2M, these includes interference, resource allocation problem and power control challenges. These challenges tend to degrade the performance efficiency gain of the integration of M2M into cellular network. The purpose of this paper is to give an overview of some of the methods and approaches. and provide some insight to the open issue that are affecting resource allocation in M2M underlaid in a cellular network.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/18640
Appears in Collections:Telecommunication Engineering

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