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- Publisher Website: 10.1109/TWC.2017.2760830
- Scopus: eid_2-s2.0-85041748605
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Article: Green and Mobility-Aware Caching in 5G Networks
Title | Green and Mobility-Aware Caching in 5G Networks |
---|---|
Authors | |
Keywords | 5G networks Cache hit ratio Content caching Device-to-device communications Human mobility |
Issue Date | 2017 |
Publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7693 |
Citation | IEEE Transactions on Wireless Communications, 2017, v. 16, p. 8347-8361 How to Cite? |
Abstract | With the drastic increase of mobile devices, there are more and more mobile traffic and repeated requests for content. In 5G networks, small cell base stations (SBSs) caching and caching in wireless device-to-device network can effectively decrease the mobile traffic during peak hours. Currently, most of the related work is focused on how to cache content on SBSs and on mobile devices, and it is assumed that the user can download the entire requested content through the connected SBSs and mobile devices. However, few works have taken user mobility and the randomness of contact duration into consideration. How to improve the caching strategy by exploiting user mobility is still a challenging problem. Thus, in this paper, we first investigate the problem of how to conduct caching placement on SBS and on mobile devices leveraging user mobility, aiming to maximize the cache hit ratio. Specifically, the caching placement on SBSs and on mobile devices is formulated as an integer programming problem, and submodular optimization is adopted to solve the formulated problem. Then, we give the optimal transmission power of SBSs and mobile devices to deliver the caching content in order to reduce the energy cost. Simulation results prove that our caching strategy is more efficient than other existing caching strategies in terms of both cache hit ratio and energy efficiency. |
Persistent Identifier | http://hdl.handle.net/10722/259247 |
ISSN | 2023 Impact Factor: 8.9 2023 SCImago Journal Rankings: 5.371 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Chen, M | - |
dc.contributor.author | Hao, Y | - |
dc.contributor.author | Hu, L | - |
dc.contributor.author | Huang, K | - |
dc.contributor.author | Lau, VKN | - |
dc.date.accessioned | 2018-09-03T04:03:52Z | - |
dc.date.available | 2018-09-03T04:03:52Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | IEEE Transactions on Wireless Communications, 2017, v. 16, p. 8347-8361 | - |
dc.identifier.issn | 1536-1276 | - |
dc.identifier.uri | http://hdl.handle.net/10722/259247 | - |
dc.description.abstract | With the drastic increase of mobile devices, there are more and more mobile traffic and repeated requests for content. In 5G networks, small cell base stations (SBSs) caching and caching in wireless device-to-device network can effectively decrease the mobile traffic during peak hours. Currently, most of the related work is focused on how to cache content on SBSs and on mobile devices, and it is assumed that the user can download the entire requested content through the connected SBSs and mobile devices. However, few works have taken user mobility and the randomness of contact duration into consideration. How to improve the caching strategy by exploiting user mobility is still a challenging problem. Thus, in this paper, we first investigate the problem of how to conduct caching placement on SBS and on mobile devices leveraging user mobility, aiming to maximize the cache hit ratio. Specifically, the caching placement on SBSs and on mobile devices is formulated as an integer programming problem, and submodular optimization is adopted to solve the formulated problem. Then, we give the optimal transmission power of SBSs and mobile devices to deliver the caching content in order to reduce the energy cost. Simulation results prove that our caching strategy is more efficient than other existing caching strategies in terms of both cache hit ratio and energy efficiency. | - |
dc.language | eng | - |
dc.publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7693 | - |
dc.relation.ispartof | IEEE Transactions on Wireless Communications | - |
dc.rights | IEEE Transactions on Wireless Communications. Copyright © IEEE. | - |
dc.rights | ©20xx 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. | - |
dc.subject | 5G networks | - |
dc.subject | Cache hit ratio | - |
dc.subject | Content caching | - |
dc.subject | Device-to-device communications | - |
dc.subject | Human mobility | - |
dc.title | Green and Mobility-Aware Caching in 5G Networks | - |
dc.type | Article | - |
dc.identifier.email | Huang, K: huangkb@eee.hku.hk | - |
dc.identifier.authority | Huang, K=rp01875 | - |
dc.identifier.doi | 10.1109/TWC.2017.2760830 | - |
dc.identifier.scopus | eid_2-s2.0-85041748605 | - |
dc.identifier.hkuros | 288301 | - |
dc.identifier.volume | 16 | - |
dc.identifier.spage | 8347 | - |
dc.identifier.epage | 8361 | - |
dc.identifier.isi | WOS:000418184400047 | - |
dc.publisher.place | USA | - |
dc.identifier.issnl | 1536-1276 | - |