DocumentCode
2204665
Title
Interference avoidance based on multi-step-ahead prediction for cognitive radio
Author
Min, Rui ; Qu, Daiming ; Cao, Yang ; Zhong, Guohui
Author_Institution
Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear
2008
fDate
19-21 Nov. 2008
Firstpage
227
Lastpage
231
Abstract
Opportunistic spectrum access (OSA) which allows a secondary user to access channels when primary users are not transmitting has been considered a promising way to increase the spectrum efficiency. To coexist with the primary user in the same frequency band, the secondary user has to adopt strict interference control rules to avoid interference towards primary users. This paper proposes using interference time ratio (ITR) (i.e. the fraction of a primary user¿s burst that is interfered by secondary transmission) as a measure of how much the primary user is impacted by secondary user for OSA system. A scheme based on multi-step-ahead prediction is proposed to predict the ITR and control the ITR so that it does not exceed a predefined threshold. To further illustrate the proposed interference avoidance scheme, two cases with different primary user traffic model are studied and simulated. The simulation and analysis results show that within acceptable predicting step number, primary user¿s burst could be well protected and precise ITR control could be achieved through the proposed interference avoidance scheme.
Keywords
cognitive radio; hidden Markov models; interference (signal); cognitive radio; hidden Markov model; interference avoidance; interference time ratio; multi-step-ahead prediction; opportunistic spectrum access; Cognitive radio; FCC; Frequency; Hidden Markov models; Power measurement; Radiofrequency interference; Temperature; Throughput; Time measurement; Traffic control; Cognitive Radio; Hidden Markov model; Interference avoidance; Multi-step-ahead prediction; Opportunistic spectrum access;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Systems, 2008. ICCS 2008. 11th IEEE Singapore International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-4244-2423-8
Electronic_ISBN
978-1-4244-2424-5
Type
conf
DOI
10.1109/ICCS.2008.4737177
Filename
4737177
Link To Document