Abstract
To ease the contradiction between the explosive growth of mobile data traffic and the capacity-limited backhaul networks, content caching is considered in a software-defined radio access network (SD-RAN) in this paper. Equipped with low-cost storage units, popular contents that are frequently requested by users can be cached at both the centralized macro-cell base station (MBS) at which the main control logics are installed, and the distributed small-cell base stations (SBSs) that are mainly responsible for data transmissions. With an objective of minimizing the average content provisioning cost of SD-RAN, a storage allocation is formulated between the MBS and SBSs subjected to a sum storage constraint. Firstly, a non-cooperative caching strategy is proposed, where the MBS and SBSs cache popular contents independently. In order to better utilize the available storage for achieving more efficient caching, a cross-layer cooperative caching strategy is then proposed by leveraging the cooperation and coordination between the MBS and SBSs. Results demonstrate that the average content provisioning cost of SD-RAN can be significantly reduced by using the analytically obtained optimal storage allocation factor, and the proposed cross-layer cooperative caching always outperforms the non-cooperative caching.
| Language | English |
|---|---|
| Title of host publication | 2017 IEEE/CIC International Conference on Communications in China, ICCC 2017 |
| Publisher | Institute of Electrical and Electronic Engineers IEEE |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (Electronic) | 978-1-5386-4502-4 |
| ISBN (Print) | 978-1-5386-4503-1 |
| DOIs | |
| Publication status | Published - 2 Apr 2018 |
| Event | 2017 IEEE/CIC International Conference on Communications in China, ICCC 2017 - Qingdao, China Duration: 22 Oct 2017 → 24 Oct 2017 |
Conference
| Conference | 2017 IEEE/CIC International Conference on Communications in China, ICCC 2017 |
|---|---|
| Country | China |
| City | Qingdao |
| Period | 22/10/17 → 24/10/17 |
Fingerprint
Keywords
- content provisioning cost
- control-data separation
- cooperative caching
- Software-defined radio access networks
OKM Publication Types
- A4 Refereed Conference Article
OKM Open Access Status
- 0 Not Open Access
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Signal Processing
Cite this
}
A cross-layer cooperative caching for software-defined radio access networks. / Li, Qiang; Shi, Wennian; Zhang, Tao; Chen, Tao; Han, Tao; Zhang, Jing.
2017 IEEE/CIC International Conference on Communications in China, ICCC 2017. Institute of Electrical and Electronic Engineers IEEE, 2018. p. 1-6.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Research › peer-review
TY - GEN
T1 - A cross-layer cooperative caching for software-defined radio access networks
AU - Li, Qiang
AU - Shi, Wennian
AU - Zhang, Tao
AU - Chen, Tao
AU - Han, Tao
AU - Zhang, Jing
PY - 2018/4/2
Y1 - 2018/4/2
N2 - To ease the contradiction between the explosive growth of mobile data traffic and the capacity-limited backhaul networks, content caching is considered in a software-defined radio access network (SD-RAN) in this paper. Equipped with low-cost storage units, popular contents that are frequently requested by users can be cached at both the centralized macro-cell base station (MBS) at which the main control logics are installed, and the distributed small-cell base stations (SBSs) that are mainly responsible for data transmissions. With an objective of minimizing the average content provisioning cost of SD-RAN, a storage allocation is formulated between the MBS and SBSs subjected to a sum storage constraint. Firstly, a non-cooperative caching strategy is proposed, where the MBS and SBSs cache popular contents independently. In order to better utilize the available storage for achieving more efficient caching, a cross-layer cooperative caching strategy is then proposed by leveraging the cooperation and coordination between the MBS and SBSs. Results demonstrate that the average content provisioning cost of SD-RAN can be significantly reduced by using the analytically obtained optimal storage allocation factor, and the proposed cross-layer cooperative caching always outperforms the non-cooperative caching.
AB - To ease the contradiction between the explosive growth of mobile data traffic and the capacity-limited backhaul networks, content caching is considered in a software-defined radio access network (SD-RAN) in this paper. Equipped with low-cost storage units, popular contents that are frequently requested by users can be cached at both the centralized macro-cell base station (MBS) at which the main control logics are installed, and the distributed small-cell base stations (SBSs) that are mainly responsible for data transmissions. With an objective of minimizing the average content provisioning cost of SD-RAN, a storage allocation is formulated between the MBS and SBSs subjected to a sum storage constraint. Firstly, a non-cooperative caching strategy is proposed, where the MBS and SBSs cache popular contents independently. In order to better utilize the available storage for achieving more efficient caching, a cross-layer cooperative caching strategy is then proposed by leveraging the cooperation and coordination between the MBS and SBSs. Results demonstrate that the average content provisioning cost of SD-RAN can be significantly reduced by using the analytically obtained optimal storage allocation factor, and the proposed cross-layer cooperative caching always outperforms the non-cooperative caching.
KW - content provisioning cost
KW - control-data separation
KW - cooperative caching
KW - Software-defined radio access networks
UR - http://www.scopus.com/inward/record.url?scp=85038836035&partnerID=8YFLogxK
U2 - 10.1109/ICCChina.2017.8330351
DO - 10.1109/ICCChina.2017.8330351
M3 - Conference article in proceedings
SN - 978-1-5386-4503-1
SP - 1
EP - 6
BT - 2017 IEEE/CIC International Conference on Communications in China, ICCC 2017
PB - Institute of Electrical and Electronic Engineers IEEE
ER -