Abstract
Cognitive radio can improve the spectrum efficiency by allowing multiple secondary users to access the idle licensed spectrum, for which efficient and fair spectrum sharing is one of the key challenges. In this paper, we investigate the multiuser multi-channel spectrum allocation problem in cognitive radio networks with the objective of maximizing the minimum throughput among all the cognitive pairs. In the proposed approach, all the secondary users will get the opportunity to access the channel and thus a good fairness can be achieved. We first introduce a weighted bipartite graph model for this design problem. A novel semi-matching based framework is then proposed to provide an efficient suboptimal solution, which only requires statistical channel state information. Simulation results will show that by applying this approach, max-min fairness can be improved for the secondary users.
| Original language | English |
|---|---|
| Title of host publication | IEEE Wireless Communications and Networking Conference, WCNC |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1603-1607 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781479930838 |
| DOIs | |
| Publication status | Published - 10 Nov 2014 |
| Externally published | Yes |
| Event | 2014 IEEE Wireless Communications and Networking Conference, WCNC 2014 - Istanbul, Turkey Duration: 6 Apr 2014 → 9 Apr 2014 |
Other
| Other | 2014 IEEE Wireless Communications and Networking Conference, WCNC 2014 |
|---|---|
| Country | Turkey |
| City | Istanbul |
| Period | 6/4/14 → 9/4/14 |
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ASJC Scopus subject areas
- Engineering(all)
Cite this
Location-aware spectrum sharing in cognitive radio networks - A semi-matching approach. / Li, Fangyong; Zhang, Jun; Letaief, Khaled.
IEEE Wireless Communications and Networking Conference, WCNC. Institute of Electrical and Electronics Engineers Inc., 2014. p. 1603-1607 6952449.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Location-aware spectrum sharing in cognitive radio networks - A semi-matching approach
AU - Li, Fangyong
AU - Zhang, Jun
AU - Letaief, Khaled
PY - 2014/11/10
Y1 - 2014/11/10
N2 - Cognitive radio can improve the spectrum efficiency by allowing multiple secondary users to access the idle licensed spectrum, for which efficient and fair spectrum sharing is one of the key challenges. In this paper, we investigate the multiuser multi-channel spectrum allocation problem in cognitive radio networks with the objective of maximizing the minimum throughput among all the cognitive pairs. In the proposed approach, all the secondary users will get the opportunity to access the channel and thus a good fairness can be achieved. We first introduce a weighted bipartite graph model for this design problem. A novel semi-matching based framework is then proposed to provide an efficient suboptimal solution, which only requires statistical channel state information. Simulation results will show that by applying this approach, max-min fairness can be improved for the secondary users.
AB - Cognitive radio can improve the spectrum efficiency by allowing multiple secondary users to access the idle licensed spectrum, for which efficient and fair spectrum sharing is one of the key challenges. In this paper, we investigate the multiuser multi-channel spectrum allocation problem in cognitive radio networks with the objective of maximizing the minimum throughput among all the cognitive pairs. In the proposed approach, all the secondary users will get the opportunity to access the channel and thus a good fairness can be achieved. We first introduce a weighted bipartite graph model for this design problem. A novel semi-matching based framework is then proposed to provide an efficient suboptimal solution, which only requires statistical channel state information. Simulation results will show that by applying this approach, max-min fairness can be improved for the secondary users.
UR - http://www.scopus.com/inward/record.url?scp=84912144089&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84912144089&partnerID=8YFLogxK
U2 - 10.1109/WCNC.2014.6952449
DO - 10.1109/WCNC.2014.6952449
M3 - Conference contribution
AN - SCOPUS:84912144089
SP - 1603
EP - 1607
BT - IEEE Wireless Communications and Networking Conference, WCNC
PB - Institute of Electrical and Electronics Engineers Inc.
ER -