Spectrum Availability Model of Secondary Users in Cognitive Radio Networks

被引:0
作者
Rahimian, Nariman [1 ]
Georghiades, Costas N. [1 ]
Celebi, Hasari [2 ]
Qaraqe, Khalid A. [3 ]
机构
[1] Texas A&M Univ, Dept Elect & Comp Engn, College Stn, TX 77840 USA
[2] Gebze Inst Technol, Dept Comp Engn, TR-41400 Gebze, Turkey
[3] Texas A&M Univ Qatar, Dept Elect & Comp Engn, Doha, Qatar
来源
2012 8TH INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING CONFERENCE (IWCMC) | 2012年
关键词
Cognitive radio; dynamic spectrum access; OFDMA; spectrum availability;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Cognitive Radio systems are a promising solution to the spectrum scarcity problem, but precise modeling of spectrum utilization is vital to the analysis and design of such systems. In this paper, we mathematically derive the Probability Mass Function (PMF) of the fraction of available subcarriers for the secondary users in an OFDMA based cognitive radio system for different requesting distributions. The PMF of the total number of requested subcarriers from all primary users is derived and the effect of the requesting distribution on the asymptotic spectrum availability for secondary users is studied. It is shown that if a requesting distribution is undesired, providing more subcarriers will not increase the spectrum availability for the secondary network.
引用
收藏
页码:360 / 365
页数:6
相关论文
共 17 条
[1]  
[Anonymous], 2006, P WORKSH TECHN POL A
[2]  
[Anonymous], 1998, P IEEE S EL COMP
[3]  
CHIANG RIC, 2007, P IEEE VEH TECHN C D
[4]  
Do J., 2004, P POS LOC NAV S PLAN
[5]  
Ellingson SW, 2005, IEEE VTS VEH TECHNOL, P1379
[6]  
Erpek T., 2007, TECH REP
[7]  
Ghasemi A., 2008, PERSONAL INDOOR MOBI, P1, DOI DOI 10.1109/PIMRC.2008.4699511
[8]   A Framework for Statistical Wireless Spectrum Occupancy Modeling [J].
Ghosh, Chittabrata ;
Pagadarai, Srikanth ;
Agrawal, Dharma P. ;
Wyglinski, Alexander M. .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2010, 9 (01) :38-44
[9]  
ISLAM M, 2008, P INT C COGN RAD OR
[10]  
Kingman J. F. C., 1993, Poisson processes