Publication:
Resource Sharing and Segment Allocation Optimized Video Streaming over Multi-hop Multi-path in Dense D2D 5G Networks

datacite.subject.fos oecd::Natural sciences::Computer and information sciences
dc.contributor.author Quang-Nhat Tran
dc.contributor.author Nguyen-Son Vo
dc.contributor.author Minh-Phung Bui
dc.contributor.author Van-Ca Phan
dc.contributor.author Zeeshan Kaleem
dc.contributor.author Trung Q. Duong
dc.date.accessioned 2022-10-13T01:44:12Z
dc.date.available 2022-10-13T01:44:12Z
dc.date.issued 2019
dc.description.abstract The rapid increase in mobile users (MUs) and various video applications and services (VASs) poses a set of challenges to 5G networks. Although device-to-device (D2D) communications and resource reuse techniques can improve the streaming performance of VASs, they have not utilized the fact that there are many MUs with available sharing downlink resources, namely cellular users (CUs), and many videos cached in dense MUs to establish an efficient video streaming session. In this paper, we propose a downlink resource sharing and segment allocation (RSA) optimization problem and solve it for high video streaming performance over multi-hop multi-path (MHMP) in dense D2D 5G networks. Particularly, the RSA provides a maximum capacity for the CUs that share their downlink resources with the D2D hops in each path by finding the optimal downlink resource sharing-receiving pairs between the CUs and the D2D hops. Then, the segments of a video cached in different D2D helpers (DHs) are sent to the D2D requester (DR) over the MHMP. By finding which segments are allocated to which paths for sending, the reconstructed distortion of the received segments at the DR is minimized for high playback quality. Simulation results are shown to investigate the benefits of the proposed solution compared to other schemes without RSA.
dc.identifier.isbn 9783030301484
dc.identifier.isbn 9783030301491
dc.identifier.uri http://repository.vlu.edu.vn:443/handle/123456789/230
dc.language.iso en_US
dc.relation.ispartof Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
dc.relation.ispartof Industrial Networks and Intelligent Systems
dc.relation.issn 1867-8211
dc.relation.issn 1867-822X
dc.subject "D2D caching and communications
dc.subject Downlink resource sharing
dc.subject Multi-hop
dc.subject Multi-path Ultra-dense 5G networks
dc.subject Video streaming"
dc.title Resource Sharing and Segment Allocation Optimized Video Streaming over Multi-hop Multi-path in Dense D2D 5G Networks
dc.type Resource Types::text::journal::journal article
dspace.entity.type Publication
oaire.citation.endPage 39
oaire.citation.startPage 26
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