TY - GEN
T1 - ADSD
T2 - 2009 1st International Conference on Future Information Networks, ICFIN 2009
AU - Ge, Yuming
AU - Sun, Yi
AU - Lu, Shan
AU - Dutkiewicz, Eryk
N1 - Copyright 2009 IEEE. Reprinted from ICFIN 2009 : 2009 First International Conference on Future Information Networks : October 14-17 2009, Beijing, China. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
PY - 2009/11
Y1 - 2009/11
N2 - With the development of Cognitive Radio networks, in order to fully utilize the scarce spectrum resources, secondary users are capable of exploiting the available spectrum of primary users. However, when there are several spectrum options available, how to select an appropriate one for the secondary user according to the spectrum quality and the QoS requirements of different kinds of applications is a new challenge. In this paper, we propose a new Automatic Distributed Spectrum Decision (ADSD) method to solve this problem. ADSD considers multiple characterization parameters, in particular, the primary users' arrival probability, to estimate the quality of the available spectrum options. A weight self-generation mechanism is included to automatically determine the weights of different parameters, thus avoiding the difficulty and irrationality when relying on the users to specify the weights directly. In addition, in conjunction with the reconfiguration mechanism, ADSD can reduce the rate of spectrum handoffs by reconfiguring the transmission parameters rather than making a new decision for the existing transmission. Simulation results show that without any users' interference, ADSD can automatically select the appropriate spectrum for transmission and significantly improve the Cognitive Radio network performance in terms of throughput and the spectrum handoff rate.
AB - With the development of Cognitive Radio networks, in order to fully utilize the scarce spectrum resources, secondary users are capable of exploiting the available spectrum of primary users. However, when there are several spectrum options available, how to select an appropriate one for the secondary user according to the spectrum quality and the QoS requirements of different kinds of applications is a new challenge. In this paper, we propose a new Automatic Distributed Spectrum Decision (ADSD) method to solve this problem. ADSD considers multiple characterization parameters, in particular, the primary users' arrival probability, to estimate the quality of the available spectrum options. A weight self-generation mechanism is included to automatically determine the weights of different parameters, thus avoiding the difficulty and irrationality when relying on the users to specify the weights directly. In addition, in conjunction with the reconfiguration mechanism, ADSD can reduce the rate of spectrum handoffs by reconfiguring the transmission parameters rather than making a new decision for the existing transmission. Simulation results show that without any users' interference, ADSD can automatically select the appropriate spectrum for transmission and significantly improve the Cognitive Radio network performance in terms of throughput and the spectrum handoff rate.
UR - http://www.scopus.com/inward/record.url?scp=72049094852&partnerID=8YFLogxK
U2 - 10.1109/ICFIN.2009.5339612
DO - 10.1109/ICFIN.2009.5339612
M3 - Conference proceeding contribution
AN - SCOPUS:72049094852
SN - 9781424451586
SP - 253
EP - 258
BT - 2009 First International Conference on Future Information Networks
A2 - Zhang, Hongke
PB - Institute of Electrical and Electronics Engineers (IEEE)
CY - Piscataway, NJ
Y2 - 14 October 2009 through 17 October 2009
ER -