Video content delivery using multiple devices to single device communications

Dagahl, Asaad, Ahmed, Qasim Zeeshan (2016) Video content delivery using multiple devices to single device communications. File. 19kB. Located at: Kent Academic Repository. 10.1109/vtcspring.2016.7504528. (doi:10.1109/vtcspring.2016.7504528) (KAR id:54602)

Microsoft Excel (Fig. 2 Outage probability vs storage size Z; Fig.3 Outage probability vs E(K); Fig. 4 Outage probability vs popularity law parameter (\xi); Fig. 5 Outage probability vs SINR) Language: English
Download this file (Microsoft Excel/19kB)	$[thumbnail of Fig. 2 Outage probability vs storage size Z; Fig.3 Outage probability vs E(K); Fig. 4 Outage probability vs popularity law parameter (\xi); Fig. 5 Outage probability vs SINR]$
Request a format suitable for use with assistive technology e.g. a screenreader
Official URL: http://dx.doi.org/10.1109/VTCSpring.2016.7504528

Abstract

Content caching between multiple devices to single device (MD2SD) using device to device (D2D) link is studied for mobile communications in this paper. A general outage probability for video content delivery using the popularity and storage size of the user equipment (UE) is derived. This outage probability is modelled as a function of popularity of video, storage size, and signal to interference plus noise ratio (SINR). Our main contribution is the closed form expression and a very close tractable approximation. From the simulation results, it can be observed that as the popularity of the video increases, the outage probability of the system can be decreased substantially. Furthermore, it is analysed that improving the storage space on the UE decreases the outage probability of the system.

Item Type:	Datasets / databases
DOI/Identification number:	10.1109/vtcspring.2016.7504528
Projects:	iCIRRUS
Uncontrolled keywords:	D2D communication, Outage probability, Caching
Subjects:	T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK5101 Telecommunications
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Funders:	[37325] UNSPECIFIED
Depositing User:	Kornelia Jumel
Date Deposited:	16 Aug 2016 13:32 UTC
Last Modified:	05 Nov 2024 10:43 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/54602 (The current URI for this page, for reference purposes)

University of Kent Author Information

Ahmed, Qasim Zeeshan.

Creator's ORCID:
CReDIT Contributor Roles:

Depositors only (login required):

Altmetric

Download Statistics

Total unique views for this document in KAR since July 2020. For more details click on the image.