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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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WRAP-caching-D2D-connections-small-cell-networks-Chen-2018.pdf - Accepted Version - Requires a PDF viewer. Download (2247Kb) | Preview |
Official URL: https://doi.org/10.1109/tvt.2018.2877645
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 | |||||||||||||||
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| Subjects: | Q Science > QA Mathematics T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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| 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: |
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| Date of first compliant deposit: | 12 October 2018 | |||||||||||||||
| 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: |
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