Backhaul-aware caching placement for wireless networks

Xi Peng, Juei Chin Shen, Jun Zhang, Khaled Letaief

Research output: Chapter in Book/Report/Conference proceedingConference contribution

46 Citations (Scopus)

Abstract

As the capacity demand of mobile applications keeps increasing, the backhaul network is becoming a bottleneck to support high quality of experience (QoE) in next-generation wireless networks. Content caching at base stations (BSs) is a promising approach to alleviate the backhaul burden and reduce user-perceived latency. In this paper, we consider a wireless caching network where all the BSs are connected to a central controller via backhaul links. In such a network, users can obtain the required data from candidate BSs if the data are pre-cached. Otherwise, the user data need to be first retrieved from the central controller to local BSs, which introduces extra delay over the backhaul. In order to reduce the download delay, the caching placement strategy needs to be optimized. We formulate such a design problem as the minimization of the average download delay over user requests, subject to the caching capacity constraint of each BS. Different from existing works, our model takes BS cooperation in the radio access into consideration and is fully aware of the propagation delay on the backhaul links. The design problem is a mixed integer programming problem and is highly complicated, and thus we relax the problem and propose a low-complexity algorithm. Simulation results will show that the proposed algorithm can effectively determine the near-optimal caching placement and provide significant performance gains over conventional caching placement strategies.

Original languageEnglish
Title of host publication2015 IEEE Global Communications Conference, GLOBECOM 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479959525
DOIs
Publication statusPublished - 23 Feb 2016
Externally publishedYes
Event58th IEEE Global Communications Conference, GLOBECOM 2015 - San Diego, United States
Duration: 6 Dec 201510 Dec 2015

Other

Other58th IEEE Global Communications Conference, GLOBECOM 2015
CountryUnited States
CitySan Diego
Period6/12/1510/12/15

Fingerprint

Base stations
Wireless networks
radio
Controllers
candidacy
programming
Integer programming
simulation
demand
performance
experience

Keywords

  • Caching placement
  • Download delay
  • Wireless caching networks

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Communication

Cite this

Peng, X., Shen, J. C., Zhang, J., & Letaief, K. (2016). Backhaul-aware caching placement for wireless networks. In 2015 IEEE Global Communications Conference, GLOBECOM 2015 [7417343] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOCOM.2014.7417343

Backhaul-aware caching placement for wireless networks. / Peng, Xi; Shen, Juei Chin; Zhang, Jun; Letaief, Khaled.

2015 IEEE Global Communications Conference, GLOBECOM 2015. Institute of Electrical and Electronics Engineers Inc., 2016. 7417343.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Peng, X, Shen, JC, Zhang, J & Letaief, K 2016, Backhaul-aware caching placement for wireless networks. in 2015 IEEE Global Communications Conference, GLOBECOM 2015., 7417343, Institute of Electrical and Electronics Engineers Inc., 58th IEEE Global Communications Conference, GLOBECOM 2015, San Diego, United States, 6/12/15. https://doi.org/10.1109/GLOCOM.2014.7417343
Peng X, Shen JC, Zhang J, Letaief K. Backhaul-aware caching placement for wireless networks. In 2015 IEEE Global Communications Conference, GLOBECOM 2015. Institute of Electrical and Electronics Engineers Inc. 2016. 7417343 https://doi.org/10.1109/GLOCOM.2014.7417343
Peng, Xi ; Shen, Juei Chin ; Zhang, Jun ; Letaief, Khaled. / Backhaul-aware caching placement for wireless networks. 2015 IEEE Global Communications Conference, GLOBECOM 2015. Institute of Electrical and Electronics Engineers Inc., 2016.
@inproceedings{4b4879fc47ea4652bc1b295228f474e1,
title = "Backhaul-aware caching placement for wireless networks",
abstract = "As the capacity demand of mobile applications keeps increasing, the backhaul network is becoming a bottleneck to support high quality of experience (QoE) in next-generation wireless networks. Content caching at base stations (BSs) is a promising approach to alleviate the backhaul burden and reduce user-perceived latency. In this paper, we consider a wireless caching network where all the BSs are connected to a central controller via backhaul links. In such a network, users can obtain the required data from candidate BSs if the data are pre-cached. Otherwise, the user data need to be first retrieved from the central controller to local BSs, which introduces extra delay over the backhaul. In order to reduce the download delay, the caching placement strategy needs to be optimized. We formulate such a design problem as the minimization of the average download delay over user requests, subject to the caching capacity constraint of each BS. Different from existing works, our model takes BS cooperation in the radio access into consideration and is fully aware of the propagation delay on the backhaul links. The design problem is a mixed integer programming problem and is highly complicated, and thus we relax the problem and propose a low-complexity algorithm. Simulation results will show that the proposed algorithm can effectively determine the near-optimal caching placement and provide significant performance gains over conventional caching placement strategies.",
keywords = "Caching placement, Download delay, Wireless caching networks",
author = "Xi Peng and Shen, {Juei Chin} and Jun Zhang and Khaled Letaief",
year = "2016",
month = "2",
day = "23",
doi = "10.1109/GLOCOM.2014.7417343",
language = "English",
booktitle = "2015 IEEE Global Communications Conference, GLOBECOM 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Backhaul-aware caching placement for wireless networks

AU - Peng, Xi

AU - Shen, Juei Chin

AU - Zhang, Jun

AU - Letaief, Khaled

PY - 2016/2/23

Y1 - 2016/2/23

N2 - As the capacity demand of mobile applications keeps increasing, the backhaul network is becoming a bottleneck to support high quality of experience (QoE) in next-generation wireless networks. Content caching at base stations (BSs) is a promising approach to alleviate the backhaul burden and reduce user-perceived latency. In this paper, we consider a wireless caching network where all the BSs are connected to a central controller via backhaul links. In such a network, users can obtain the required data from candidate BSs if the data are pre-cached. Otherwise, the user data need to be first retrieved from the central controller to local BSs, which introduces extra delay over the backhaul. In order to reduce the download delay, the caching placement strategy needs to be optimized. We formulate such a design problem as the minimization of the average download delay over user requests, subject to the caching capacity constraint of each BS. Different from existing works, our model takes BS cooperation in the radio access into consideration and is fully aware of the propagation delay on the backhaul links. The design problem is a mixed integer programming problem and is highly complicated, and thus we relax the problem and propose a low-complexity algorithm. Simulation results will show that the proposed algorithm can effectively determine the near-optimal caching placement and provide significant performance gains over conventional caching placement strategies.

AB - As the capacity demand of mobile applications keeps increasing, the backhaul network is becoming a bottleneck to support high quality of experience (QoE) in next-generation wireless networks. Content caching at base stations (BSs) is a promising approach to alleviate the backhaul burden and reduce user-perceived latency. In this paper, we consider a wireless caching network where all the BSs are connected to a central controller via backhaul links. In such a network, users can obtain the required data from candidate BSs if the data are pre-cached. Otherwise, the user data need to be first retrieved from the central controller to local BSs, which introduces extra delay over the backhaul. In order to reduce the download delay, the caching placement strategy needs to be optimized. We formulate such a design problem as the minimization of the average download delay over user requests, subject to the caching capacity constraint of each BS. Different from existing works, our model takes BS cooperation in the radio access into consideration and is fully aware of the propagation delay on the backhaul links. The design problem is a mixed integer programming problem and is highly complicated, and thus we relax the problem and propose a low-complexity algorithm. Simulation results will show that the proposed algorithm can effectively determine the near-optimal caching placement and provide significant performance gains over conventional caching placement strategies.

KW - Caching placement

KW - Download delay

KW - Wireless caching networks

UR - http://www.scopus.com/inward/record.url?scp=84964884967&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84964884967&partnerID=8YFLogxK

U2 - 10.1109/GLOCOM.2014.7417343

DO - 10.1109/GLOCOM.2014.7417343

M3 - Conference contribution

BT - 2015 IEEE Global Communications Conference, GLOBECOM 2015

PB - Institute of Electrical and Electronics Engineers Inc.

ER -