Reference : Sensing-Throughput Tradeoff for Cognitive Radio Systems with Unknown Received Power
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/10993/21333
Sensing-Throughput Tradeoff for Cognitive Radio Systems with Unknown Received Power
English
Kaushik, Ankit [Karlsruhe Institute of Technology (KIT), Germany > Communications Engineering Lab]
Sharma, Shree Krishna mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Chatzinotas, Symeon mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Jondral, Friedrich [Karlsruhe Institute of Technology (KIT), Germany > Communications Engineering Lab]
Apr-2015
Proceedings of CROWNCOM 2015
Yes
No
International
International Conference on Cognitive Radio Oriented Wireless Networks (CROWNCOM)
21-04-2015 to 23-04-2015
EAI
Doha
Qatar
[en] Cognitive Radio ; Spectrum Sensing ; Sensing-throughput tradeoff ; Interweave ; Received power estimation
[en] Understanding the performance of the cognitive radio systems is of great interest. Different paradigms have been extensively analyzed in the literature to perform secondary access to the licensed spectrum. Of these, Interweave System (IS) has been widely investigated for performance analysis. According to IS, sensing is employed at the Secondary Transmitter (ST) that protects the Primary Receiver (PR) from the interference induced. Thus, in order to control the interference at the PR, it is required to sustain a certain level of probability of detection. In
this regard, ST requires the knowledge of the received power. However, in practice, this knowledge is not available at the ST. Thereby performing analysis considering the prior knowledge of the received power is too idealistic, thus, do not depict the actual performance of the IS. Motivated by this fact, an estimation model that includes received power estimation is proposed. Considering a sensing-throughput tradeoff, we apply this model to characterize the performance of the IS. Most importantly, the proposed model captures the estimation error to determine the distortion in the system performance. Based on analysis, it is illustrated
that the ideal model overestimates the performance of the IS. Finally, it is shown that with an appropriate choice of the estimation time, the severity in distortion can be effectively regulated.
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/21333

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