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Caching D2D connections in small-cell networks

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Zhao, Nan, Liu, Xiaonan, Chen, Yunfei, Zhang, Shun, Li, Zan, Chen, Bingcai and Alouini, Mohamed-Slim (2018) Caching D2D connections in small-cell networks. IEEE Transactions on Vehicular Technology, 67 (12). pp. 12326-12338. doi:10.1109/tvt.2018.2877645

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Official URL: https://doi.org/10.1109/tvt.2018.2877645

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Abstract

Small-cell network is a promising solution to high video traffic. However, with the increasing number of devices, it cannot meet the requirements from all users. Thus, we propose a caching device-to-device (D2D) scheme for small-cell networks, in which caching placement and D2D establishment are combined. In this scheme, a limited cache is equipped at each user, and the popular files can be prefetched at the local cache during off-peak period. Thus, dense D2D connections can be established during peak time aided by these cached users, which will reduce the backhaul pressure significantly. To do this, first, an optimal caching scheme is formulated according to the popularity to maximize the total offloading probability of the D2D system. Thus, most edge users can obtain their required video files from the caches at users nearby, instead from the small-cell base station. Then, the sum rate of D2D links is analyzed in different signal-to-noise ratio (SNR) regions. Furthermore, to maximize the throughput of D2D links with low complexity, three D2Dlink scheduling schemes are proposed with the help of bipartite graph theory and Kuhn-Munkres algorithm for low, high and medium SNRs, respectively. Simulation results are presented to show the effectiveness of the proposed scheme.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science > Engineering
Library of Congress Subject Headings (LCSH): Streaming video, Bipartite graphs, Algorithms
Journal or Publication Title: IEEE Transactions on Vehicular Technology
Publisher: IEEE
ISSN: 0018-9545
Official Date: 1 December 2018
Dates:
DateEvent
10 October 2018Accepted
23 October 2018Available
1 December 2018Published
Volume: 67
Number: 12
Page Range: pp. 12326-12338
DOI: 10.1109/tvt.2018.2877645
Status: Peer Reviewed
Publication Status: Published
Publisher Statement: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Access rights to Published version: Restricted or Subscription Access
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
61871065[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
61771089[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
DUT17JC43[MEPRC] Ministry of Education of the People's Republic of Chinahttp://dx.doi.org/10.13039/501100002338
Xinghai Scholars Program[MEPRC] Ministry of Education of the People's Republic of Chinahttp://dx.doi.org/10.13039/501100002338
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