Abstract
In cognitive radio networks, unlicensed users can use under-utilized licensed spectrum to achieve substantial performance improvement. To avoid interference with licensed users, unlicensed users must vacate the spectrum when it is accessed by licensed (primary) users. Since it takes some time for unlicensed users to switch to other available channels, the ongoing data transmissions may have to be interrupted and the transmission delay can be significantly increased. This makes it hard for cognitive radio networks to meet the delay constraints of many applications. To the best of our knowledge, we are the first to use caching techniques to address this problem. We formulate the cache placement problem in cognitive radio networks as an optimization problem, where the goal is to minimize the total cost, subject to some delay constraint, i.e., the data access delay can be statistically bounded. To solve this problem, we propose three approaches: cost-based, delay-based, and hybrid. Simulation results show that our approaches outperform existing caching solutions in terms of total cost and delay constraint, and the hybrid approach performs the best among the approaches satisfying the delay constraint.
| Original language | English (US) |
|---|---|
| Title of host publication | IEEE INFOCOM 2014 - IEEE Conference on Computer Communications |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2094-2102 |
| Number of pages | 9 |
| ISBN (Print) | 9781479933600 |
| DOIs | |
| State | Published - Jan 1 2014 |
| Event | 33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014 - Toronto, ON, Canada Duration: Apr 27 2014 → May 2 2014 |
Publication series
| Name | Proceedings - IEEE INFOCOM |
|---|---|
| ISSN (Print) | 0743-166X |
Other
| Other | 33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014 |
|---|---|
| Country | Canada |
| City | Toronto, ON |
| Period | 4/27/14 → 5/2/14 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Electrical and Electronic Engineering
Cite this
}
Delay-constrained caching in cognitive radio networks. / Zhao, Jing; Gao, Wei; Wang, Yi; Cao, Guohong.
IEEE INFOCOM 2014 - IEEE Conference on Computer Communications. Institute of Electrical and Electronics Engineers Inc., 2014. p. 2094-2102 6848151 (Proceedings - IEEE INFOCOM).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Delay-constrained caching in cognitive radio networks
AU - Zhao, Jing
AU - Gao, Wei
AU - Wang, Yi
AU - Cao, Guohong
PY - 2014/1/1
Y1 - 2014/1/1
N2 - In cognitive radio networks, unlicensed users can use under-utilized licensed spectrum to achieve substantial performance improvement. To avoid interference with licensed users, unlicensed users must vacate the spectrum when it is accessed by licensed (primary) users. Since it takes some time for unlicensed users to switch to other available channels, the ongoing data transmissions may have to be interrupted and the transmission delay can be significantly increased. This makes it hard for cognitive radio networks to meet the delay constraints of many applications. To the best of our knowledge, we are the first to use caching techniques to address this problem. We formulate the cache placement problem in cognitive radio networks as an optimization problem, where the goal is to minimize the total cost, subject to some delay constraint, i.e., the data access delay can be statistically bounded. To solve this problem, we propose three approaches: cost-based, delay-based, and hybrid. Simulation results show that our approaches outperform existing caching solutions in terms of total cost and delay constraint, and the hybrid approach performs the best among the approaches satisfying the delay constraint.
AB - In cognitive radio networks, unlicensed users can use under-utilized licensed spectrum to achieve substantial performance improvement. To avoid interference with licensed users, unlicensed users must vacate the spectrum when it is accessed by licensed (primary) users. Since it takes some time for unlicensed users to switch to other available channels, the ongoing data transmissions may have to be interrupted and the transmission delay can be significantly increased. This makes it hard for cognitive radio networks to meet the delay constraints of many applications. To the best of our knowledge, we are the first to use caching techniques to address this problem. We formulate the cache placement problem in cognitive radio networks as an optimization problem, where the goal is to minimize the total cost, subject to some delay constraint, i.e., the data access delay can be statistically bounded. To solve this problem, we propose three approaches: cost-based, delay-based, and hybrid. Simulation results show that our approaches outperform existing caching solutions in terms of total cost and delay constraint, and the hybrid approach performs the best among the approaches satisfying the delay constraint.
UR - http://www.scopus.com/inward/record.url?scp=84904419305&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84904419305&partnerID=8YFLogxK
U2 - 10.1109/INFOCOM.2014.6848151
DO - 10.1109/INFOCOM.2014.6848151
M3 - Conference contribution
SN - 9781479933600
T3 - Proceedings - IEEE INFOCOM
SP - 2094
EP - 2102
BT - IEEE INFOCOM 2014 - IEEE Conference on Computer Communications
PB - Institute of Electrical and Electronics Engineers Inc.
ER -