АНАЛІЗ АРХІТЕКТУРИ КЕШУВАННЯ ДАНИХ ДЛЯ МЕРЕЖ МОБІЛЬНОГО ЗВ’ЯЗКУ 5G
Анотація
The analysis of the architecture data caching for networks:
moving from clouds to the base station
In order to cope with the relentless data tsunami in wireless networks, current approaches such as acquiring new spectrum, deploying more base stations (Bss). In this regard, context-aware networks with edge/cloud computing and exploitation of big data analytics can yield significant gains to mobile operators. In this article, proactive content caching in wireless networks is investigated in which a big data-enabled architecture is proposed.
Посилання
G. Paschos, E. Basёtug˘, I. Land, G. Caire, and M. Debbah, “Wireless caching: Technical misconceptions and business barriers,” arXiv preprint arXiv:1602.00173, 2016.
X. Wang, M. Chen, T. Taleb, A. Ksentini, and V. Leung, “Cache in the Air: Exploiting content caching and delivery
techniques for 5G systems,” IEEE Communications Magazine, vol. 52, no. 2, pp. 131–139, February 2014.
M. Tao, E. Chen, H. Zhou, and W. Yu, “Content-centric sparse multicast beamforming for cache-enabled cloud RAN,”
[Online] arXiv: 1512.06938, 2015.
F. Bonomi, R. Milito, J. Zhu, and S. Addepalli, “Fog computing and its role in the internet of things,” in Proceedings of
the first edition of the MCC workshop on Mobile cloud computing, Helsinki, Finland, August 2012.
X. Peng, J.-C. Shen, J. Zhang, and K. B. Letaief, “Backhaul-aware caching placement for wireless networks,” in Proc.
IEEE Global Commun. Conf. (GLOBECOM), San Diego, CA, Dec. 2015.
##submission.downloads##
Як цитувати
Номер
Розділ
Ліцензія
Авторське право (c) 2017 Олексій Олександрович Рибак, Дмитро Анатолійович Міночкін
Ця робота ліцензується відповідно до Creative Commons Attribution 4.0 International License.
Authors who submit to this conference agree to the following terms:a) Authors retain copyright over their work, while allowing the conference to place this unpublished work under a Creative Commons Attribution License, which allows others to freely access, use, and share the work, with an acknowledgement of the work's authorship and its initial presentation at this conference.
b) Authors are able to waive the terms of the CC license and enter into separate, additional contractual arrangements for the non-exclusive distribution and subsequent publication of this work (e.g., publish a revised version in a journal, post it to an institutional repository or publish it in a book), with an acknowledgement of its initial presentation at this conference.
c) In addition, authors are encouraged to post and share their work online (e.g., in institutional repositories or on their website) at any point before and after the conference.