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2013•IEEE Wireless Communications LettersRequires access

Sensing and Power Allocation for Cognitive Radio with Multiple Primary Transmit Powers

Zhong Chen, Feifei Gao, Xian‐Da Zhang, James C. F. Li, Ming Lei

Open publisher page 34 citations

Abstract

In this letter, we consider a more practical scenario when the primary user (PU) transmits with multiple levels of power in a cognitive radio (CR) network. The optimal spectrum sensing algorithm at the secondary user (SU) that could discriminate the PU's' transmitting power is proposed and the related performance is analyzed. We also designed a new SU transmission strategy where one transmit power is found for each estimation of the PU's power. The strategy is further optimized according to the SU's achievable rate. In the end, we validate our study by various simulations.

About this research paper

What this paper is about

In this letter, we consider a more practical scenario when the primary user (PU) transmits with multiple levels of power in a cognitive radio (CR) network. The optimal spectrum sensing algorithm at the secondary user (SU) that could discriminate the PU's' transmitting power is proposed and the related performance is analyzed. We also designed a new SU transmission strategy where one transmit power is found for each estimation of the PU's power. The strategy is further optimized according to the SU's achievable rate. In the end, we validate our study by various simulations.

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OpenAlex reports 34 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this letter, we consider a more practical scenario when the primary user (PU) transmits with multiple levels of power in a cognitive radio (CR) network. The optimal spectrum sensing algorithm at the secondary user (SU) that could discriminate the PU's' transmitting power is proposed and the related performance is analyzed. We also designed a new SU transmission strategy where one transmit power is found for each estimation of the PU's power. The strategy is further optimized according to the SU's achievable rate. In the end, we validate our study by various simulations.

Key concepts: Cognitive radio, Transmitter power output, Computer science, Transmission (telecommunications), Power (physics), Transmitter, Computer network, Wireless

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