Mode selection map-based vertical handover in D2D enabled 5G networks

One of the promising features of 5G networks is device-to-device (D2D) communication that enables direct transmission between D2D user equipments (UEs). Besides the traditional cellular transmission mode, UEs can select between the reuse and dedicated modes. In this study the authors consider a scen...

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Bibliographic Details
Published in:IET communications 2019-08, Vol.13 (14), p.2173-2185
Main Authors: Morattab, Armin, Dziong, Zbigniew, Sohraby, Kazem
Format: Article
Language:English
Subjects:
5G mobile communication
cellular radio
cellular UE
communicating D2D pair
D2D enabled 5G networks
D2D user equipments
dedicated mode
device‐to‐device communication
direct transmission
fading model
handover rate
mobility management
mobility management (mobile radio)
mode selection map‐based vertical handover
pathloss model
Research Article
reuse mode
sojourn time metrics
traditional cellular transmission mode
transmission mode transition
vertical handover algorithm
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Summary:One of the promising features of 5G networks is device-to-device (D2D) communication that enables direct transmission between D2D user equipments (UEs). Besides the traditional cellular transmission mode, UEs can select between the reuse and dedicated modes. In this study the authors consider a scenario where a communicating D2D pair and a cellular UE that communicates with an evolved Node-B can use the same spectrum. It is assumed that the cellular UE can move in the network while the D2D UEs are static. The movement of the cellular UE can affect the quality of the communication between the D2D pair. Therefore, the transmission mode between the D2D UEs might change to keep the best quality. In this study the authors propose a new mobility management and vertical handover algorithm that handles the transmission mode transition during the D2D connection to maximise the overall throughput. The algorithm uses distance from the border and critical direction set as mobility variables that are analytically determined. These variables are calculated using a mode selection map that is derived analytically when pathloss and fading models are used. Finally, in order to analyse the performance of the proposed handover algorithm, the authors analytically calculate handover rate and sojourn time metrics.
ISSN:1751-8628
1751-8636
1751-8636
DOI:10.1049/iet-com.2018.6133