TY - GEN
T1 - Exploiting spectrum usage patterns for efficient spectrum management in cognitive radio networks
AU - Lee, Changwoo
AU - Lee, Wonjun
PY - 2010
Y1 - 2010
N2 - A cognitive radio (CR) is very significant technology to use a spectrum dynamically in wireless communication networks. However, very little has been done on using the spectrum usage patterns to handle with the problem of spectrum allocation in dynamic spectrum access. We suggest a scheme by exploiting spectrum usage patterns for the efficient spectrum management and reduce the communication cost in cognitive radio networks (CRNs). We propose the following three factors into account: spectrum sensing scheme with a sleep mode, spectrum decision scheme with a probability of spectrum access and spectrum handoff scheme with back-off time. All factors make use of spectrum usage patterns based on the statistical information. The first factor reduces the number of spectrum sensing. The second increases the opportunity of spectrum access and the last decreases the number of spectrum handoff. First of all, our proposed spectrum management scheme considers the analysis of the spectrum usage patterns and various factors obtained from the analysis is applied to lessen the communication cost in CRNs. The simulation results show that our proposed scheme improve the efficiency of spectrum management in dynamic spectrum access.
AB - A cognitive radio (CR) is very significant technology to use a spectrum dynamically in wireless communication networks. However, very little has been done on using the spectrum usage patterns to handle with the problem of spectrum allocation in dynamic spectrum access. We suggest a scheme by exploiting spectrum usage patterns for the efficient spectrum management and reduce the communication cost in cognitive radio networks (CRNs). We propose the following three factors into account: spectrum sensing scheme with a sleep mode, spectrum decision scheme with a probability of spectrum access and spectrum handoff scheme with back-off time. All factors make use of spectrum usage patterns based on the statistical information. The first factor reduces the number of spectrum sensing. The second increases the opportunity of spectrum access and the last decreases the number of spectrum handoff. First of all, our proposed spectrum management scheme considers the analysis of the spectrum usage patterns and various factors obtained from the analysis is applied to lessen the communication cost in CRNs. The simulation results show that our proposed scheme improve the efficiency of spectrum management in dynamic spectrum access.
KW - Cognitive radio networks
KW - Spectrum decision
KW - Spectrum handoff
KW - Spectrum management
KW - Spectrum sensing
UR - http://www.scopus.com/inward/record.url?scp=77954332823&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77954332823&partnerID=8YFLogxK
U2 - 10.1109/AINA.2010.53
DO - 10.1109/AINA.2010.53
M3 - Conference contribution
AN - SCOPUS:77954332823
SN - 9780769540184
T3 - Proceedings - International Conference on Advanced Information Networking and Applications, AINA
SP - 320
EP - 327
BT - 24th IEEE International Conference on Advanced Information Networking and Applications, AINA 2010
T2 - 24th IEEE International Conference on Advanced Information Networking and Applications, AINA2010
Y2 - 20 April 2010 through 23 April 2010
ER -